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In the file that I attached below there is a line upon the theta(1) coefficient and another one exactly below C(9). In addition, what is this number below C(9)? There is no description
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I asked that question to the person who code that package, and he said C(9) coefficient does not have any meaning here, just ignore. It comes up because the package is written for the old version of Eviews and has not been updated that is why.
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What kind of scientific research dominate in the field of Improving credit risk management?
Please, provide your suggestions for a question, problem or research thesis in the issues: Improving credit risk management.
Please reply.
I invite you to the discussion
Thank you very much
Best wishes
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Dear Hazim Al Dilaimy,
Thanks and invite you to the discussion. I propose the following research topic in the field of improving credit risk management: Improving the credit risk management process in the context of the decline in lending and the decline in economic activity of enterprises caused by the economic crisis of 2020 caused by the SARS-CoV-2 (Covid-19) coronavirus pandemic.
Thank you very much,
Best regards,
Dariusz
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The current technological revolution, known as Industry 4.0, is determined by the development of the following technologies of advanced information processing: Big Data database technologies, cloud computing, machine learning, Internet of Things, artificial intelligence, Business Intelligence and other advanced data mining technologies.
In connection with the above, I would like to ask you:
Which information technologies of the current technological revolution Industry 4.0 contribute the most to reducing the asymmetry of information between counterparties of financial transactions?
The above question concerns the asymmetry of information between such financial transaction partners, such as between borrowers and banks granting loans, and before granting a loan carrying out creditworthiness of a potential borrower and the bank's credit risk level associated with a specific credit transaction and, inter alia, financial institutions and clients of their financial services.
Please reply
Best wishes
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Information asymmetry between the financial institution offering certain financial services and the client can be reduced through the increase in the use of ICT and Industry 4.0 information technologies for remote, web-based service and concluding transactions. In addition, customers can use social media portals where they share their experiences of using specific financial services.
Best wishes,
Dariusz Prokopowicz
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Already at least several commercial banks have created their own cryptocurrencies. Some investment funds invest part of their assets in selected cryptocurrencies. Recently, the investment bank JP Morgan has created its own cryptocurrency JPM Coin. Cryptocurrency JPM Coin will be used to settle initially a small part of the transaction, which JP Morgan performs on a daily basis for a total of about USD 6 billion.
Thanks to JPM Coin, settlements between business partners should take place immediately, ie much faster than the current standards of transfers. However, apart from accelerating the time of the transaction, what are the other goals for banks to introduce their own cryptocurrencies?
Could investment banks create a new type of collateral for transactions in the event of a possible strong loss of the USD dollar in the event of another global financial crisis connected with the currency crisis? Such a risk exists if the problem of growing public debt in the US is not resolved and banks in China cease to buy US Treasury bonds.
Do you agree with my opinion on this matter?
In view of the above, I am asking you the following question:
For what purpose do banks create their own cryptocurrencies?
Please reply
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Thank you very much
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Recently, there is a tendency to affirm that bitcoin will not be admitted as a payment currency for an “ecological” reason, that is, due to the high energy consumption that mining the cryptocurrency carries. At the same time, it seems that clients of investment banks no longer have the same interest in cryptocurrencies.
See the following link:
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Should the Federal Reserve Bank in the US be the main institution shaping and leading pro-growth active state interventionism?
In principle, YES, but it should be specified precisely the framework for a possible anti-crisis launch and implementation of the policy of active state intervention. The Federal Reserve Bank should continue to fulfill its current functions. In this respect, it is the most important institution in the US in terms of maintaining financial stability in the banking system and indirectly in the entire financial system. In addition, indirectly supports inter-branch, transactional, market, business and cross-border trade and capital flows. As the Federal Reserve advises on the issue of maintaining financial stability, it also translates into the entire US economy and also to a large extent on the entire global economy while the economy The US is recognized as a key global player. On the other hand, the Federal Reserve Bank, using its monetary policy instruments and the possibility of buying back lost commercial loans and junk securities, should focus on stabilizing the situation on the financial markets rather than on actively stimulating demand for securities, which may generate another global one in the long run. financial crisis. I examined this problem and described it in my scientific publications.
In view of the above, the current question is: Should the Federal Reserve Bank in the US be the main institution shaping and leading pro-growth active state interventionism?
Please, answer, comments.
I invite you to the discussion.
Dear Friends and Colleagues of RG,
The issue of the impact of monetary policy on the stability of financial systems in the context of the global financial crisis is described in the publication:
I invite you to discussion and cooperation.
Best wishes
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Recent financial and economic crises have shown that the interventionist, anti-crisis, lenient monetary policy consisting in lowering interest rates and the intervention purchase of lost assets from commercial banks from commercial banks (lost and worthless loans, junk securities) with the highest level of credit risk turned out to be effective as an instrument of anti-crisis policy, the aim of which is to limit the scale of unemployment growth, decrease in liquidity in the financial system, limit the scale of economic recession, etc. I described these issues in my publications on my Research Gate profile.
What do you think about this topic?
I invite you to the discussion,
Thank you very much,
Greetings,
Dariusz Prokopowicz
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Any source of getting financial data (Balance sheet) of listed companies on bursa Malaysia?
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Many website or listed company website search it
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Being an academic of finance and accounting subjects, I always look for new and contemporary ideas, thoughts, research, methods, models, processes involved with the research in the broad area of finance and accounting. once I found a website containing researches in the last 10 years, but unfortunately I lost it in the bookmarks.
Can we share the sources for getting such resources for learning and enrichment of knowledge in Finance and Accounting?
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AI on Accounting
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Managerial analysis, as qualitative analysis, is the most valuable tool in decision making which applies to every institution. Several qualitative indicators can jointly produce some guiding indications to evaluate the management soundness. The managerial analysis using qualitative characteristics and various other factors of the organization provides the true picture of the context and the reality of the ongoing phenomena in the real place.
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It’s the People behind a company who can make it or break it. A great company could be brought to its knees by a bad management. An obscure company could become prominent, by a good management.
So, yes, when analyzing businesses, I do give a high weight to management. There are innumerous examples of companies with a great management, which turned out to be multibaggers.
But having said that, other key factors — particularly the sector, the company’s business model and balance sheet — all play important roles in determining in which direction the company goes in future.
If at all I were to assign weights they would be:
  • Management 30%
  • Sector 25%
  • Business model 25%
  • Balance Sheet 20%
Hope this helps.
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Does the combination of Big Data database technologies and Business Intelligence analytics enable the improvement of conducting various economic, financial and other analyzes?
In my opinion, the scope of synergy and possibilities of combining applications of various advanced information processing technologies, including data analysis eg on Business Intelligence platforms based on large data sets collected in Big Data database systems for the purpose of improving information security management processes, including information transferred, increases. on the Internet, collected in Big Data database systems and used to carry out various economic, financial and other analyzes.
Please reply
I invite you to the discussion
Thank you very much
Best wishes
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Due to the rapid technological progress in the field of Industry 4.0 technology, companies, enterprises and financial institutions will increasingly use multi-criteria processing of large data sets using Big Data Analytics and Business Intelligence as part of economic and financial analyzes.
Greetings,
Dariusz Prokopowicz
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The emergence of Bitcoin has sparked a debate about its future and that of other cryptocurrencies. Despite Bitcoin’s recent issues, its success since its 2009 launch has inspired the creation of alternative cryptocurrencies such as Litecoin, Ripple and MintChip. In these experiences the speculative motive seems to be preailing. However, recently, digital social currencies' experiments are diffusing, by starting from the Bicoin protocol.  
What will be the future of cryptocurrencies? Will Bitcoin lose its value completely? What are the most important factors to understand the future of cryptocurrencies?
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Issues such as power consumption, facilitation of money laundering and lack of effective control by governments need to be addressed.
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What kind of scientific research dominate in the field of Fundamental and technical analysis carried out for the purpose of making investment decisions?
Please, provide your suggestions for a question, problem or research thesis in the issues: Fundamental and technical analysis carried out for the purpose of making investment decisions.
Please reply.
I invite you to the discussion
Best wishes
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Dear Akram Elsherbini,
Thank you very much for interesting articles and research theses on the issues of research in the field of technical analysis with modeling taking into account the scientific method, including correction of the concept and calculation of momentum in technical analysis. Very interesting and topical research topics.
Best regards,
Dariusz Prokopowicz
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In my work, I use the multivariate GARH model (DCC-GARCH). I am testing the existence of autocorrelation in the variance model. Ljung-Box tests (Q) for standardized residuals and square standardized residuals give different results.
Should I choose the Ljung-Box or Ljung-Box square test?
N=1500
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The Ljung-Box test is aimed at testing the independance of errors using residuals of an ARMA model estimated on the same data. But it makes use of autocorrelations so it is not powerful when the errors are uncorrelated but not independent. When applied to squared residuals, it can reveal ARCH and GARCH effects. Note that the errors of a ARCH-GARCH model are uncorrelated but not independent. Have a look at the excellent book by Francq and Zakoian entitled "GARCH Models: Structure, Statistical Inference and Financial Applications" published by Wiley in 2010.
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What kind of scientific research dominate in the field of Security of the financial system?
Please, provide your suggestions for a question, problem or research thesis in the issues: Security of the financial system.
Please reply.
I invite you to the discussion
Thank you very much
Dear Friends and Colleagues of RG,
The issues of risk management in the context of determinants of the global financial crisis, globalization processes, technological progress and other factors I described in the publications:
I invite you to discussion and cooperation.
Best wishes
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Dear Aref Wazwaz,
Thanks for the link to the publication describing interesting issues of financial systems security.
Best regards,
Dariusz Prokopowicz
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According to the nature of temporal data, strategies like k-fold cross validation is not an appropriate idea since we cannot remove the dimension of time. In this discussion we want to explore ideas about testing models for temporal data.
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Pooia Lalbakhsh you may want to employ deep learning models such as LSTM and GRU.
Good luck
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In developed countries, where technology and information are included in significant production factors, innovative startups are created, inter alia, in the technology sectors.
Some of the big start-ups created big online technology companies.
During the dynamic development and expansion on the market, they carried out investment and development projects, usually on the basis of partially borrowed capital as part of external financing.
In some countries, traditional borrowing instruments for borrowing financial capital, which include bank loans, dominate in the field of external financing.
In other countries, innovative startups raise financial capital from loan funds, venture capital funds, and investment funds. In addition, some innovative startups raise capital for development from government programs of targeted subsidies or from business angels, etc.
Some startups have gained financial capital for development purposes from new sources of external financing developing in new online media, such as crowdfunding. After several years of development and strengthening of their position on the markets, then the growing companies raise financial capital for development purposes, inter alia, from financial instruments of the capital market, from issuing securities, from issuing corporate bonds and shares.
However, in individual countries, financial systems and dominant financial instruments in the offer of financial institutions may differ significantly. In view of the above, the current question is:
What forms of external financing dominate your country in the area of ​​financing the development of innovative startups?
Please reply,
Please comments,
I invite everyone to the discussion,
Thank you very much,
Best regards,
Dariusz Prokopowicz
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In the country in which I operate, various forms of external financing for the establishment and development of innovative startups are used, depending on the type of business, type of innovation, industry and business specificity, own participation of entrepreneurs, etc.
Greetings,
Dariusz Prokopowicz
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What kind of information in the field of financial market psychology is in your opinion the most important, which should be taken into account when conducting technical analyzes of the valuation of securities listed on the stock exchange in order to achieve the best results from investing activities?
Please reply
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The impact of what is known as the psychology of the financial markets was seen during the initial phase 1 of the pandemic. When in March 2020 the World Health Organization announced the state of a global epidemic, i.e. the state of the SARS-CoV-2 (Covid-19) coronavirus pandemic, then there was a strong sell-off of stocks and commodities on commodity exchanges. The stock market crash resulted from the predominance of investors' fear and uncertainty about the situation in the markets and the economy. The aforementioned crash was characterized by a large amplitude of decline in stock exchange indices, but it was relatively short-lived. The declines in indices were halted as central banks cut interest rates. At that time, the situation in the markets calmed down and the trends were reversed from downward to upward.
Regards,
Dariusz Prokopowicz
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Is it possible to analyze the financial performance of banks using a questionnaire form without using the recognized financial performance indicators?
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You know well that the banking business environment is a volatile environment and that the financial indicators are represents the historical performance and not future performance , and here in this case there is a contradiction. The topic is not about a performance evaluation but it is an expectation of performance based on a strategic vision and not temporary. Therefore, we sometimes resort to the questionnaire as a means to build a strategic scenario in the thought of the study sample, which are managers and managers. Executives and decision-makers
Many thanks dear colleagues for sharing your valued thoughts
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Hi, I have recently conducting a research on the determinant of securities offering. And I have about 1500 companies at different announcement dates (From 2000- 2018). However, I need to collect financial information for compaines prior to their annoucement.
For example, if a firm annouced to issue convertible bond at June 1st 2012, it does not make sense to use financial information after that. I have seen little references to deal with this issue in the literatures.
My question is, how to I solve this issue without manually going through all 1500 companies.
Thanks for your help !
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I have a number of published research papers dealing with similar issue. You may want to check them out.
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What kind of scientific research dominate in the field of Computerization of conducting economic and financial analyzes of enterprises?
Please, provide your suggestions for a question, problem or research thesis in the issues: Computerization of conducting economic and financial analyzes of enterprises.
Please reply.
I invite you to the discussion
Best wishes
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Infrastructure and technology readiness... Arvanitis, S. (2005). Computerization, workplace organization, skilled labour and firm productivity: Evidence for the Swiss business sector. Economics of innovation and new technology, 14(4), 225-249.
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Are credit rating agencies currently reliably assessing the creditworthiness of national economies, enterprises and financial institutions, including issuers of securities?
One of the factors that generated a high scale of negative aspects of the global financial crisis in 2008 was the practice of unreliably carried out assessments of the creditworthiness of national economies, enterprises and financial institutions, including issuers of securities and certain financial instruments offered to individual clients by commercial banks. Have the financial supervisory authorities developed effective instruments to enforce the reliability of credit risk analysis procedures in investment banks and rating agencies? Do financial systems work more effectively than in 2008? Do credit rating agencies reliably carry out an assessment of the creditworthiness of national economies, enterprises and financial institutions?
Please, answer, comments.
I invite you to the discussion.
Best wishes
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Yes, many participants and investors operating in financial markets, including capital markets, agree that internationally operating rating agencies diligently carry out their analyzes and formulate their recommendations. In order for this state to continue in the future, conclusions should be drawn from the mistakes made before the global financial crisis of 2008.
Regards,
Dariusz Prokopowicz
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Mechanism of financial analysis in government units?
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Following
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The analytics conducted on computerized Business Intelligence platforms is one of the key advanced information technology technologies of the fourth technological revolution, known as Industry 4.0.
The current technological revolution, known as Industry 4.0, is determined by the development of the following technologies of advanced information processing: Big Data database technologies, cloud computing, machine learning, Internet of Things, artificial intelligence, Business Intelligence and other advanced data mining technologies.
The analytics conducted on computerized Business Intelligence platforms currently supports business management processes, facilitates identification of opportunities and threats to business development, allows for quick generation of analytical reports on selected issues in the economic and financial situation of the business entity.
Do you agree with my opinion on this matter?
In view of the above, I am asking you the following question:
What future applications of analytics will be developed on computerized Business Intelligence platforms?
Please reply
I invite you to the discussion
The issues of the use of information contained in Big Data database systems for the purposes of conducting Business Intelligence analyzes are described in the publications:
I invite you to discussion and cooperation.
Best wishes
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Thank you very much for the interesting data provided regarding the application of Business Intelligence analytics.
Best regards,
Dariusz Prokopowicz
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Hello, i have a topic that i'm really lost:
Influence of a company's (sales) growth RATE on the investment RATIO (in assets) and the profit in the FINANCIAL STATEMENTS - an empirical analysis of annual financial statements (Bachelor) or a model analysis.
I have read many researches which used regression analysis to describe the relationship between sales growth and profit, or assets growth and profit. But my research question is, how many x% should we invest in assets, when we want to have y % in sales growth, and how does the results of y% sales growth present in profit that we can see in the financial statements. Could you guys please recommend me some papers or researches which related to my question and which keywords should i use to find them.
Is model analysis a research method? Can i apply it to solve my question?
Thank you for your help!!!
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There are many foreign sources on the sites or reports
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What kind of scientific research dominate in the field of Economic and financial situation of citizens?
Please, provide your suggestions for a question, problem or research thesis in the issues: Economic and financial situation of citizens.
Please reply.
I invite you to the discussion
Thank you very much
Dear Friends and Colleagues of RG
The issues of specific programs to improve the economic, financial, material and housing situation of households as key instruments of pro-development keynesian anti-crisis state intervention and significant components of the socio-economic policy of the state I described in the publications:
I invite you to discussion and cooperation.
Best wishes
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One of the solutions, citizen participation... The theory and practice of urban governance in recent years has undergone both a collaborative and participatory turn. The strong connection between collaboration and participation has meant that citizen participation in urban governance has been conceived in a very particular way: as varying levels of partnership between state actors and citizens. This over-focus on collaboration has led to: 1) a dearth of proposals in theory and practice for citizens to engage oppositionally with institutions; 2) the miscasting of agonistic opportunities for participation as forms of collaboration; 3) an inability to recognise the irruption of agonistic practices into participatory procedures. This article attempts to expand the conception of participatory urban governance by adapting Rosanvallon’s (2008) three democratic counter-powers—prevention, oversight and judgement—to consider options for institutionalising agonistic participatory practices. It argues that these counter-governance processes would more fully realise the inclusion agenda that underpins the participatory governance project... Dean, R. J. (2018). Counter-governance: Citizen participation beyond collaboration. Politics and Governance, 6(1), 180-188.
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Do the results of conducted analyzes using Big Data database technologies and Business Intelligence analytics enable improving the accuracy of conducted economic and financial analyzes and other analyzes of the fundamental analysis type and other analyzes of economic effectiveness, economic and financial situation, property valuation, determining the development perspectives of enterprises and improvement of credit risk management processes?
In the context of the above discussion, another question arises:
- Is it possible to improve the credit risk management processes as a result of the use of Big Data database technologies and Business Intelligence analytics for fundamental analysis and other analyzes regarding the economic performance research, economic and financial situation, property valuation, determining business development perspectives?
- Do the results of conducted analyzes using Big Data database technologies and Business Intelligence analytics allow to improve the accuracy of conducted analyzes and increase the probability of prediction, forecasted phenomena and economic processes occurring?
Do you agree with my opinion on this matter?
In view of the above, I am asking you the following question:
Does the use of Big Data database technologies and Business Intelligence analytics for analytical processes of the analysis of the economic and financial situation of enterprises enable the improvement of credit risk management processes in commercial banks?
Please reply
I invite you to the discussion
Thank you very much
Dear Colleagues and Friends from RG
The issues of the use of information contained in Big Data database systems for the purposes of carrying out Business Intelligence analyzes are described in the publications:
I invite you to discussion and cooperation.
Thank you very much
Best wishes
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Artificial intelligence (AI), and the machine learning techniques that form the core of AI, are transforming, and will revolutionise, how we approach financial risk management. Everything to do with understanding and controlling risk is up for grabs through the growth of AI-driven solutions: from deciding how much a bank should lend to a customer, to providing warning signals to financial market traders about position risk, to detecting customer and insider fraud, and improving compliance and reducing model risk... Aziz, S., & Dowling, M. (2019). Machine learning and AI for risk management. In Disrupting Finance (pp. 33-50). Palgrave Pivot, Cham.
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Dear All,
I would like to perform event study analysis through website: https://www.eventstudytools.com/.
Unfortunately they ask for uploading data in a format i dont understand , dont know how to put data in this form, and i dont find a user manual or email to communicate with them.
Can anyone kindly advise how to use this service and explain it in a plain easy way?
Thanks in advance.
Ahmed Samy
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Dear All,
I'm conducting an event study for a sample of 25 firms that each gone through certain yearly event (inclusion in an index).
(The 25 firms (events) are collected from last 5 years.)
I'm using daily price abnormal returns (AR), and consolidated horizontally the daily returns for the 25 firms to get daily "Average abnormal Returns" (AAR).
Estimation Window (before the event)= 119 days
Event Window = 30 days
1- I tested the significance of daily AAR through a t-test and corresponding P-value, How can i calculate the statistical power for those daily P-values?
(significance level used=.0.05, 2 tailed)
2- I calculated "Commutative Average Abnormal Returns" (CAAR) for some period in the event window, performed a significance test for it by t-test and corresponding P-value, how can i calculate the statistical power of this CAAR significance test?
(significance level used=.0.05, 2 tailed)
Thank you for your help and guidance.
Ahmed Samy
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Have the procedures for the development of reports and recommendations by the rating agencies already been improved compared to the situation before the global financial crisis of 2008?
Are the reports and recommendations issued by the rating agencies more honestly developed, in accordance with the principles of business ethics, have the procedures for their development and the objective information policy been improved and still function as before the global financial crisis of 2008?
Please reply
I invite you to the discussion
Thank you very much
Best wishes
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Credit rating agencies have come under increased scrutiny since the financial crisis. Their failure to recognise the threats to the financial system prior to the crisis coupled with their steady downgrading of European sovereign debt has led to much criticism, especially from European politicians and economists.... This examines the major agencies' influence, independence and performance and explores whether a publicly funded European agency would improve the situation... Tichy, G., Lannoo, K., Ap Gwilym, O., Alsakka, R., Masciandaro, D., & Paudyn, B. (2011). Credit rating agencies: Part of the solution or part of the problem?. Intereconomics, 46(5), 232-262.
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What are the methodological differences in the processes of examining economic effectiveness or specific selected issues, aspects in the scope of analyzing the effectiveness of a given business activity in a situation of comparison of analyzes carried out for small enterprises and large business entities conducting diversified economic activities?
For small business entities representing the SME sector, those operating in one area of ​​economic activity, the simplest solution is to select economic and financial indicators relevant to the needs, which determine specific issues of efficiency, eg fixed assets, current assets or other classified capital categories, production factors. It is also possible to analyze and measure the effectiveness of specific processes in an enterprise, the effectiveness of measures, specific investment projects, efficiency of logistics processes, work efficiency of employees, etc. For each of the mentioned types of effectiveness tests other economic or financial indicators are used.
However, in the situation of the analysis of complex, multi-factorial processes realized with economic entities, multifaceted processes covering various spheres of activity of a specific enterprise, covering the entirety of a large enterprise operating in various business areas and with the involvement of much larger financial resources for conducted economic efficiency analyzes, then they should Complex indicator models built from many interrelated economic, financial and other indicators can be used.
A good solution in this situation is the involvement of Business Intelligence technology using large data sets describing the functioning of a specific large enterprise, gathered in Big Data database systems. In addition, advanced data processing and analysis can be made using cloud computing technology. In addition, access to data, data update and commissioning of specific analyzes of economic performance research can be carried out from the level of mobile devices, i.e. through the use of the Internet of Things technology.
Do you agree with me on the above matter?
In the context of the above issues, I am asking you the following question:
What are the methodological differences in the processes of examining economic effectiveness or specific selected issues, aspects in the scope of analyzing the effectiveness of a given business activity in a situation of comparison of analyzes carried out for small enterprises and large business entities conducting diversified economic activities?
Please reply
I invite you to the discussion
Thank you very much
Best wishes
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...significant and inverse relationship between firm size and its efficiency based on
DEA model: in fact the larger the company its efficiency decreases. Thus, according to confirming
the inverse relationship between firm size and firm efficiency, it is recommended to investors and
managers to consider the efficiency index and the desired output with respect to investments
made according to the DEA models to achieve efficiency....
The traditional profit-based criteria have recognized defects the important of which is
being manipulated by various accounting procedures and reliance on the limiting principles of
conservation and retrospection. Thus, it is necessary to find some new parameters in order to
sensibly study companies’ performance. In this regard, data envelopment analysis (DEA) is
considered as a new way to do this. The main effect of this technique is that all previous variables
for assessing performance are simultaneously or individually included. In such models, raw
accounting data, financial ratios, economic variables, and nonfinancial data and factors can be
used (Musavizadeh, 2010)...Razmi et al., 2014
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In managing the technology of advanced processing and analysis of large information sets in Big Data database systems, there is no hope but it is already used in practice. Big Data database systems are used in many fields of analysis of large data sets and support business management processes, among others by supporting processes carried out in Business Intelligence framework.
Do you agree with me on the above matter?
In the context of the above issues, the following question is valid:
Do Big Data technologies support business management processes?
In what direction will the process of research and application of Big Data technology, which support business management processes, progress?
Please reply
Best wishes
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Yes, they do.
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The study of the functioning of securities markets is particularly important in the context of the analysis of the effective functioning of modern economies. It is particularly important to limit the systemic investment risk and strengthen the instruments of financial supervisors to reduce the likelihood of further global financial crises.
In view of the above, I would like to ask you: Analysis of the functioning of securities markets?
Please, answer, comments. I invite you to the discussion
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Dear Hazim Al Dilaimy, Anatolii Solovev, Er Sir Soumitra Kumar Mallick, Thank you very much for participating in this discussion. Thank you for the proposed interesting issues in the field Analysis of the functioning of securities markets?
Thank you very much for the sent suggestions of interesting topics, research issues, etc. related to this issue.
Thank you very much and best regards, Have a nice day,
Dariusz Prokopowicz
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Hi everyone,
I have a daily, hourly, and weekly dataset of a stock chart that consists of date and price.
I would like to develop a program that takes some part of the daily dataset for example (for example 20 days) and finds similar charts in hourly, daily, weekly, etc datasets for me. What I mean by similar is the shape of the chart, not the prices. For example, we may have the same pattern in $10-$100 as the $800-$1500. I think it's about the computer vision field.
I actually look for fractals in the charts, self-similar data. Cause I believe what's going on now, somewhere happened before.
I hope I explained my purpose clearly.
Could anyone please recommend appropriate tools to use or any good introductory books/websites/tutorials?
Thank You
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Please refer to the following article:
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Hello,
We have just started to study financial analysis and we have a Scientific background are a bit lost. We would need a clarification in order to understand the process we should follow, including the ratio. If anybody have some insights... It would be very much appreciated !
Best regards,
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All financial ratios explained with a simple example.
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There are main categories of financial markets like stock markets, bond Markets, sukuk, .. Etc
Kindly, could you write what are all other categories of financial markets with the main references which discuss the details of financial markets or something if them
Thanks for your kind consideration
Regards
Ahmed
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Dear Ahmed,
The attached document is part of my class notes in Investments Course.
However, if you need some references, below are some potential ones (Research Papers, Books, and Textbooks):
1. Al Janabi, Mazin A. M., and Arreola Hernandez, Jose, Forecasting of dependence, market and investment risks of a global index portfolio”. Journal of Forecasting, Vol. 39, No. 3, pp. 512-532, 2020. [Publisher: Wiley-Blackwell].
2. Al Janabi, Mazin A. M., Ferrer, Roman, and Shahzad, Syed Jawad Hussain, “Liquidity-adjusted value-at-risk optimization of a multi-asset portfolio using a vine copula approach”. Physica A: Statistical
3. Al Janabi, Mazin A. M., Grillini, Stefano, Sharma, Abhijit, Ozkan, Aydin, “Pricing of time-varying illiquidity within the Eurozone: Evidence using a Markov switching liquidity-adjusted capital asset pricing model“. International Review of Financial Analysis, Vol. 64, pp. 145-158, 2019. [Publisher: Elsevier, Inc.]
4. Al Janabi, Mazin A. M., “Derivatives Securities in Emerging MENA Markets: Structuring Lessons from other Financial Markets”, Journal of Banking Regulation, Vol. 13, No. 1, pp. 73-85, 2012. [Publisher: Palgrave Macmillan Publishers Ltd.].
5. Al Janabi, Mazin A. M., “Internal Regulations and Procedures for Financial Trading Units”, Journal of Banking Regulation, Vol. 9, No.2, pp. 116-130, 2008. [Publisher: Palgrave Macmillan Publishers Ltd.].
6. Al Janabi, Mazin A. M., “On the Inception of Sound Derivative Products in Emerging Markets: Real-World Observations and Viable Solutions”, Journal of Financial Regulation and Compliance, Vol. 14, No. 2, pp. 151-164, 2006. [Publisher: Emerald Group Publishing Limited].
7. Al Janabi, Mazin A. M., “On the Use of Value-at-Risk for Managing Foreign Exchange Exposure in Large Portfolios”, Journal of Risk Finance, Vol. 8, No. 3, pp. 260-287, 2007. [Publisher: Emerald Group Publishing Limited].
8. Al Janabi, Mazin A. M., “Internal Risk Control Benchmark Setting for Foreign Exchange Exposure: The Case of the Moroccan Dirham”, Journal of Financial Regulation and Compliance, Vol. 14, No. 1, pp. 84-111, 2006. [Publisher: Emerald Group Publishing Limited]
9. Al Janabi, Mazin A. M., “Foreign Exchange Trading Risk Management with Value at Risk: Case Analysis of the Moroccan Market”, Journal of Risk Finance, Vol. 7, No. 3, pp. 273-291, 2006. [Publisher: Emerald Group Publishing Limited].
10. Al Janabi, Mazin A. M., “Optimal Commodity Asset Allocation with a Coherent Market Risk Modeling”, Review of Financial Economics, Vol. 21, No. 3, pp. 131-140, 2012. [Publisher: Elsevier, Inc.]
11. Al Janabi, Mazin A. M., “Optimal and Investable Portfolios: An Empirical Analysis with Scenario Optimization Algorithms under Crisis Market Prospects”, Economic Modelling, Vol. 40, pp. 369-381, 2014. [Publisher: Elsevier, Inc.]
12. Al Janabi, Mazin A. M., Arreola Hernandez, Jose, Berger, Theo, Khuong Nguyen, Duc, “Multivariate Dependence and Portfolio Optimization Algorithms under Illiquid Market Conditions”, European Journal of Operational Research, Vol. 259, No. 3, pp. 1121-1131, 2017. [Publisher: Elsevier, Inc.]
13. Al Janabi, Mazin A. M., Khuong Nguyen, Duc, Arreola Hernandez, Jose, Hammoudeh, Shawkat, Reboredo, Juan Carlos, “Global Financial Crisis and Dependence Risk Analytics of Sector Portfolios: A Vine Copula Approach”, Applied Economics, Vol. 49, No. 25, pp. 2409–2427, 2017.[Publisher: Routledge; Taylor & Francis Group].
14. Al Janabi, Mazin A. M., “Liquidity Risk Management in Emerging and Islamic Markets in Post-Financial Crisis in Gulf Cooperation Council”, in M. Kabir Hassan, University of New Orleans (Ed.), The Edward Elgar Handbook of Empirical Studies on Islam and Economic Life, 2017. [Publisher: Edward Elgar Publishing]
15. Al Janabi, Mazin A. M., “Value at Risk Prediction under Illiquid Market Conditions: A Comparison of Alternative Modeling Strategies”, in Buchanan, Bonnie, Nugyyen, Duc Khuong, and Boubaker, Sabri (Eds.), Risk Management in Emerging Markets: Issues, Framework and Modeling, 2016. [Publisher: Emerald Group Publishing Limited]
16. Al Janabi, Mazin A. M., Khuong Nguyen, Duc, Arreola Hernandez, Jose, Hammoudeh, Shawkat “Time lag dependence, cross-correlation and risk analysis of U.S. energy and non-energy stock portfolios”, Journal of Asset Management, Vol. 16, No. 7, pp. 467-483, 2015. [Publisher: Palgrave Macmillan Publishers Ltd.]
17. Al Janabi, Mazin A. M., “Scenario Optimization Technique for the Assessment of Downside-Risk and Investable Portfolios in Post-Financial Crisis”, Int. J. of Financial Engineering (Formerly, Journal of Financial Engineering), Vol. 2, No. 3, pp. 1550028-1 to 1550028-28, 2015.[Publisher: World Scientific Publishing Co., Inc.]
18. Al Janabi, Mazin A. M., “Tactical Risk Analysis in Emerging Markets in the Wake of the Credit Crunch and Ensuing Sub-prime Financial Crisis”, in Nugyyen, Duc Khuong, Arouri, Mohamed and Boubaker, Sabri (Eds.), Emerging Markets and the Global Economy: A Handbook, pp. 413-446, 2014. [Publisher: Elsevier, Inc.].
19. Al Janabi, Mazin A. M., “Risk Analysis, Reporting and Control of Equity Exposure: Viable Applications to the Mexican Financial Market”, Journal of Derivatives & Hedge Funds, Vol. 13, No. 1, pp. 33-58, 2007. [Publisher: Palgrave Macmillan Publishers Ltd.].
20. Al Janabi, Mazin A. M., “Trading Risk Management: Practical Applications to Emerging-Markets”, in Motamen-Samadian S. (Ed.), Risk Management in Emerging Markets, Palgrave/MacMillan, United Kingdom, pp. 91-136, 2005. [Publisher: Palgrave Macmillan Publishers Ltd.].
21. Al Janabi, Mazin A. M., “Financial Risk Management: Applications to the Moroccan Stock Market”. Consulting/Advisory Book in Financial Trading Risk Management, ISBN: 9954-413-47-2, Al Akhawayn University in Ifrane (AUI), Ifrane, Morocco, 2005. [Publisher: AUI University Press].
22. Al Janabi, Mazin A. M., “Formulation of Successful Derivatives Products in Emerging-Markets”. Consulting/Advisory Book in Financial Risk Management, ISBN: 9954-413-30-8, Al Akhawayn University in Ifrane (AUI), Ifrane, Morocco, 2003. [Publisher: AUI University Press].
23. Fundamentals of Investments: Valuation & Management, Jordan & Miller, 5th Edition (2010), McGraw-Hill International Edition.
24. Investments: Analysis and Management Charles P. Jones, (2007), 10th edition, John Wiley and Sons.
25. Benninga, Simon, Financial modeling, 3rd edition, The MIT Press, Cambridge, Massachusetts, 2008.
26. Robert Haugen, Modern Investment Theory, 5th Edition, Prentice Hall, 2001.
27. Alexander, Sharpe, Bailey, Fundamentals of Investments, 3rd Edition, Prentice Hall, 2001.
28. Reilly, Frank, Keith C. Brown, Investment analysis and portfolio management, South-Western College Pub; 10th edition, 2011.
29. Chincarini, Ludwig B., Quantitative Equity Portfolio Management: An Active Approach to Portfolio Construction and Management (McGraw-Hill Library of Investment and Finance), 2006.
30. Zvi. Bodie, Alex Kane, Investments, McGraw-Hill Education; 10th edition, 2013.
31. Burton, G., Malkiel, A Random Walk Down Wall Street, W. Norton & Company; 9 edition, 2007.
32. Edwin J. Elton, Martin J. Gruber, Stephen J. Brown, William N. Goetzmann, Modern portfolio theory and investment analysis, 9th edition. Wiley, 2014.
33. Saunders A. and Cornett M., Financial Markets and Institutions (The Mcgraw-Hill / Irwin Series in Finance, Insurance and Real Estate) 6th Edition, 2014.
34. Jacque, Management and Control of Foreign Exchange Risk, Kluwer Academic Publishers, 1996.
35. Giddy, Global Financial Markets, D.C. Heath, 1994.
36. Dufey and Giddy, The International Money Market, Prentace Hall, 2nd edition, 1994.
37. Brealey, Myers and Marcus, Fundamentals of Corporate Finance, McGraw-Hill.
38. Brealey and Myers, Principles of Corporate Finance, McGraw-Hill.
39. Ross, Westerfield and Jordan, Essentials of Corporate Finance, McGraw-Hill.
40. Chambers, Lacey, Modern Corporate Finance, Theory and Practice, Pearson Education, Addison Wesley.
41. Rao, Financial Management: Concepts and Applications, South-Western College Publishing.
Prof. Dr. Mazin A. M. Al Janabi
Full Professor of Finance & Banking and Financial Engineering
EGADE Business School, Tecnologico de Monterrey,
Santa Fe Campus, Mexico City, Mexico.
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The Data is for Academic Research
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Thanks
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Company A actually has been involved in the industry for about 30yrs and known to offer quality professional installation plus material specifications as :zincalum steel, thickness is .45mm, AZ150. B has been involved in the industry for about 15yrs and offers somewhat professional installation plus material specifications as: zincalum steel, thickness 0.40mm, AZ150 and C is a less known and new company that has involved in the industry for 3 yrs with material specifications as: Alluminium, thickness 0.40mm and AZ150.
The currency is GHS.
He wants to base his decision on sound analysis.
Thank you for your support.
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Analysis starts from technical suitability. Out of 3 companies quoted, go through the specifications and engineering design with Durability. Then u go to the lowest offer suitable to tech spec
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this question needs the financial analysis and industry reports on luxury resorts in India. this also asks what are the critical things which need to be looked on while constructing a luxury resort.
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Good Question, and very relevant in Indian environment to promote tourism.
CONSIDERATIONS IN CONSTRUCTION OF LUXURY RESORT:
1. Cost of the Project
2. Location
3. Facilities Available
4. Proxibility of Airport
5. Availability of Labour
6. Technical and Financial Appraisal
7. Social Cost Benefit Analysis
8. Commercial Viability
9.Technical Feasibility
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Have the credit risk management processes been improved in banks to the extent that the probability of the emergence and scale of the next financial crisis are low?
Please reply
I invite you to the discussion
Thank you very much
Dear Friends and Colleagues of RG,
The issues of risk management in the context of determinants of the global financial crisis, globalization processes, technological progress and other factors I described in the publications:
I invite you to discussion and cooperation.
Best wishes
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There are improvements, but still some work to be done:
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What kind of scientific research dominate in the field of Global financial crisis?
Please, provide your suggestions for a question, problem or research thesis in the issues: Global financial crisis.
Please reply.
I invite you to the discussion
Dear Friends and Colleagues of RG
The issues of risk management in the context of determinants of the global financial crisis, globalization processes, technological progress and other factors I described in the publications:
I invite you to discussion and cooperation.
Best wishes
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Globalization should be stopped immediately in particular thirld world countries .
Immediate Indegenious Economical source should come back w.r.t india .
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Hi,
I want to calculate the correlation of the Bitcoin price with some other asset classes such as gold or oil. Therefore, I use the daily returns in percent of each asset and simply apply the correlation formula in excel. To be sure I got me two different datasources for oil and gold (Krugerrand and H&H gold, Texas and London Oil). Obviously the historic prices of Krugerrand and H&H are almost the same, the same applies for the two different kinds of oil.
My question/problem is: The correlation of the absolute values from Gold 1 - Gold 2 and Oil 1 - Oil 2 is close to one which makes sense. The correlation of the returns, however, is close to zero, i.e. non existent. How can that be? shouldn't the returns be at least very positively correlated as well?
Furthermore, the correlation of each time series with Bitcoin differs, even though I am thinking that Oil 1 and Oil 2 / Gold 1 / Gold 2 should have the same relation to Bitcoin.
I am trying to figure this out since days now and I am running out of time for this project. I would really appreciate if anyone has an idea what I am not seeing here.
I attached the excel, the most relevant sheets are highlighted in red.
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The calculation of the correlation is done based on the time invariant data pairs (xi,yi). For the calculation of the returns the derivative between 2-time steps is considered, right. This is in principle something different and here we see a nice example that this can lead to interesting results.
The correlation of the day by day return is zero. Conclusion: there is no intraday correlation between these two values.
But there might by a correlation between day i and day i+n. So try to correlate (xi,yi+1), (xi, yi+2),… and you will observe an interesting result 😉. Hope that helped – and good luck.
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I am writing one paper regarding taxing financial services under VAT in developing countries. I would be very grateful if anyone has any paper about it(or book that can be downloaded for free). Thanks.
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I would like to recommend you a study that assesses the effects of imposing VAT on the services provided by the Bulgarian banking sector: https://www.researchgate.net/publication/335961831_Assessing_the_Effects_of_Imposing_VAT_on_the_Services_Provided_by_the_Banking_Sector_-_The_Case_of_Bulgaria (https://www.ceeol.com/search/article-detail?id=793543)
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i would like to construct a data set of/ containing a) sovereign (country) risk-free rates - likely repo rates - and b) sovereign credit ratings - the credit rating of the particular country
i would like to include as many countries as possible
and have the window period as long as possible
what would be the best source(s) to construct such a data set?
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After the recent 4 day $85 billion per day federal reserve intervention in repo market, are you sure that you consider that to still be risk free?
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What could be the consequences in the 2019 Financial Statements of the application of the new IFRS 16?
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Price optimization methods and algorithms are used to determine the best price or set of prices for business offerings by companies. In our project https://www.researchgate.net/project/Dynamic-Pricing-Algorithms-and-Models-using-Artificial-Intelligence
We are working on Dynamic Pricing Algorithms and Models using Artificial Intelligence. However we would like to hear from researchers experts about dynamic pricing models and algorithms. What are the best of breed Dynamic Pricing Algorithms and Models using Artificial Intelligence?
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Does the use of Big Data database technologies and Business Intelligence analytics increase the accuracy of economic and financial analyzes carried out?
Do the results of the analyzes carried out using Big Data database technologies and Business Intelligence analytics allow improving the accuracy of conducted economic and financial analyzes and other analyzes of the type of technical analysis, fundamental analysis and other analysis of economic performance, economic and financial situation, property valuation, determination of business development perspectives , joint-stock companies, issuers of securities whose securities are traded on the stock exchange on the stock exchange?
In the context of the above discussion, another question arises:
Does it result in the use of Big Data database technologies and Business Intelligence analytics for technical analysis, fundamental analysis and other analysis of economic effectiveness, economic and financial situation, property valuation, determining the development perspectives of enterprises, joint-stock companies, issuers of securities whose securities are located in the stock exchange trading on the stock exchange, the efficiency of analytical processes increases? Do the results of conducted analyzes using Big Data database technologies and Business Intelligence analytics allow to improve the accuracy of conducted analyzes and increase the probability of prediction, forecasted phenomena and economic processes occurring?
Do you agree with my opinion on this matter?
In view of the above, I am asking you the following question:
Do the results of the analyzes carried out using Big Data database technologies and Business Intelligence analytics allow improving the accuracy of conducted economic and financial analyzes and other analyzes of the type of technical analysis, fundamental analysis and other analysis of economic performance, economic and financial situation, property valuation, determination of business development perspectives , joint-stock companies, issuers of securities whose securities are traded on the stock exchange on the stock exchange?
Please reply
I invite you to the discussion
Thank you very much
Dear Colleagues and Friends from RG
The issues of the use of information contained in Big Data database systems for the purposes of carrying out Business Intelligence analyzes are described in the publications:
I invite you to discussion and cooperation.
Best wishes
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Following
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The question is about how to carry out financial analysis of agronomic treatments
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Hello dear I am very happy to read the questions and find the answers
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I used financial ratios to predict financial distress using machine learning algorithms. The data consist of 2002-2015. Economic shocks effect the ratios and may affect the generalizability of the prediction model. Can using industry adjusted ratios solve this problem and control the economic shocks to develop more robust prediction model?
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Well, it depends on the ratio and what type of economic shocks you try to control. I don't believe that there is (or will be) a general model for economic shocks. Different shocks could be foreseen with different financial indicators. I'm not saying that we know which ratios can be associated with which shocks, but only that such (most likely very complex) relationship has to exist.
As Yifan Wang suggested, predicting shocks is a very difficult and sophisticated task. However, it's not like humans have not been able to predict any shocks. A (very bad) example would be predicting natural disaster. It is worth noting from this bad example that the information required for a prediction might not be obvious, e.g. small changes in the temperature in west africa might lead to major hurricanes in US east coasts and the caribics.
Limiting your (I assume unsupervised) machine learning algorithm for industry ratios might not be smart for your goal. Assuming (past) industry ratios are significant predictors for (near-future) economic shocks, then it is clear that linear adjustment will not lead you to anywhere (when using neural networks). I'm not sure whether the same can be asserted for non-linear adjustments and non-linear machine learning techniques. I guess, the answer will be different for different techniques.
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Almost one year after the application of IFRS 9, we can carry out ex-post analyzes on the "Business Model" envisaged by this principle, which came into force in January 2018 to precisely understand how to objectively identify the business model and then apply it optimally in the IFRS 9
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What are the topics of research and analysis carried out on large information collections using Big Data database systems?
Exchange the topics of research and analysis carried out on you with large collections of information, which can be used to increase the efficiency of research processes using computerized database systems built on Big Data platforms. In addition, analytics conducted on IT Business Intelligence platforms are used in some of such analytical processes.
Such topics of research and analysis conducted on large collections of information using Big Data database technology include:
- observation and analysis of chemical composition, light, issued sounds from billions of galaxies, planetary systems, stars, exoplanets, etc.,
- analysis of the composition of full genomes, genetic makeup and chromosomal information for specific species of life, including animals, plants, fungi, microbes; besides, also the analysis of the full composition of the human genome,
- analysis and prediction of atmospheric phenomena, climate changes in correlation with the change of seismic activity, water currents in the oceans, cyclically changing solar activity, increasing in a given area of ​​the condition and nature of environmental pollution,
- statistical and prognostic analysis of economic development, economic and financial situation of specific business entities, enterprises, companies, institutions, markets and entire national economies,
- analysis of the repayment of investment, consumer, mortgage and other loans, including the analysis of creditworthiness and financial credibility of business entities representing specific industries, sectors of the national economy,
- analysis of credit risk accepted in commercial banks at central banks and financial institutions 'supervision institutions, analysis of commercial banks' credit policies from the point of view of monetary policy of central banking,
- prognosis analysis of the situation on financial markets, including capital markets, stock exchanges,
- prediction of changes in the supply of electricity in the following days, weeks, months and years,
- analysis of the progressing pollution of the natural environment, including soil pollution, surface water, air, seas and oceans, growing unsorted and non-biodegradable waste landfills, including especially toxic waste, which are often illegally removed from the production processes of specific enterprises,
- analysis of the progressing process of greenhouse gas emissions from various sources, ie civilization and natural sciences, prognostic analysis of the trends of the ongoing global warming process and forecast of the trends of these processes in the following years.
Do you agree with my opinion on this matter?
In view of the above, I am asking you the following question:
What else do you know about research topics and analyzes conducted on large information collections using Big Data database systems?
Please reply
I invite you to the discussion
Dear Colleagues and Friends from RG
The key aspects and determinants of applications of data processing technology in Big Data database systems are described in the following publications:
I invite you to discussion and cooperation.
Best wishes
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Big Data has been studied for many researches from Operations Management Area. Is one of the most emergent research topic in Operations and Supply Chain
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Can you use Business Intelligence analytics for research into any type of business, including those run by innovative, technological startups?
Can Business Intelligence analytics be used to research and analyze the effectiveness of business operations carried out by innovative technological startups?
Are expensive computerized systems and analytical platforms on which Business Intelligence analytics tools are built are currently also available for business entities functioning as innovative, technological startups?
The first computerized systems and analytical platforms on which the Business Intelligence analytics tools were built were, due to the high construction costs of these systems, available mainly to large enterprises, corporations and financial institutions. However, as part of technical progress in IT and the dissemination of business analytics tools, successively computerized systems and analytical platforms on which Business Intelligence analytics tools are built are also available for smaller companies, currently mainly located in the SME sector.
Currently, IT companies that produce ready-made multi-functional, multi-module computerized systems and analytical platforms Business Intelligence also create versions dedicated to specific types of business entities representing also the SME sector. Informatized systems and analytical platforms on which Business Intelligence analytics tools are built facilitate the ongoing economic and financial analyzes of business entities and are helpful in the process of company management. I described the above issues in my scientific publications, to which links are given below.
Do you agree with my opinion on this matter?
In view of the above, I am asking you the following question:
Is it possible to apply Business Intelligence analytics to the study of business activities of innovative startups?
Please reply
I invite you to the discussion
Dear Colleagues and Friends from RG
The key aspects and determinants of applications of data processing technologies in Big Data database systems are described in the following publications:
I invite you to discussion and cooperation.
Best wishes
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Possible, but other approaches may be more successful, particulary new and innovative.
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Yes. In my opinion, globalization is leading to the Integration of Business Cycles. In this way, globalization may deepen economic crises, including the global financial and debt crisis. An example was the global financial crisis, which appeared in mid-September 2008. At that time bankruptcy was announced by one of the largest investment banks in the world. As a result of unreliable credit risk management procedures, billions of USD of financial losses have been generated. It turned out that the unwritten rule no longer works, that "big can not fall". However, it is the emergence of ever larger international corporations and financial institutions that is one of the main determinants of the processes of economic globalization that have been progressing in recent years. these processes continue. Every few years, as a result of the merger of some of the largest financial institutions through mergers and acquisitions, more and more banks are formed. On the other hand, international operating industrial corporations move their factories from country to country, looking for cheaper workforce, and international trading and service corporations set up subsidiaries and sales outlets in other countries. Capital links grow transnational and thus systemic risk grows, whose sources can be related to the progressing economic globalization.
Please reply.
I invite you to the discussion
Dear Friends and Colleagues of RG
The issues of risk management in the context of determinants of the global financial crisis, globalization processes, technological progress and other factors I described in the publications:
I invite you to discussion and cooperation.
Best wishes
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In view of the above, it is also important to include in the above discussion also the following issue:
Was the picture of the sources of the global financial crisis presented in the media fully objective?
In the situation when a global financial crisis appeared in the autumn of 2008, a long-time public discussion on the sources of this crisis, explaining its development and pointing to the need to improve credit risk management procedures began in the media.
In the course of numerous analyzes carried out after 2008, many irregularities in the functioning of investment banking operating on capital markets in 2006-2008, investing in high-risk securities and their derivatives, were diagnosed. In addition, the institutions of supervision over financial systems did not notice many irregularities in the process of granting mortgage loans and in the rating agencies issuing too high, overly optimistic assessments for investment banks located in the forfeiture, sold for not fully informed about a high level of credit risk for investors, which were offered securities, credit derivatives, subprime bonds. Financial system supervisors also did not notice high systemic risk in a situation where a significant part of all mortgage loans in developed countries with the Anglo-Saxon model of the financial system were insured by a few insurance companies. Financial institutions also did not notice unethical practices of selling investment banks to investors of securities, whose valuation on securities markets was significantly overvalued and in the situation when the global financial crisis occurred, these securities were almost nothing or nothing worth buying.
The global financial crisis in 2008 was the reason for increasing the scale of interventionist economic policies in developed countries. The main instrument of this policy was the significant development of a mild monetary policy and interventionist measures aimed at forcing the restructuring processes of heavily indebted enterprises and stop-ping the decline in lending by commercial banks. As part of the pro-development activities of the state intervention, the Federal Reserve Bank applied a mild monetary policy of low interest rates and a program for activating lending and maintaining liquidity in the financial system by financing the purchase from commercial banks of the most en-dangered assets. A few years later, the European Central Bank applied the same activities of activation monetary policy. The functioning of the financial system will not be fully corrected as long as there will be a message in the media encouraging the banks that the global financial crisis is primarily attributable to the Federal Reserve Bank in the USA. In many para-documentary films, which, as a para-scientific explanation and education of citizens, pro-mote the philosophy of combining deregulation of financial markets with the development of a free market, and attempts to regulate markets are trying to implement the principles of real socialism, a system quite different from that considered an ultramarine US economy.
Do you agree with my opinion?
Therefore, I am asking you with the following query:
Was the picture of the sources of the global financial crisis presented in the media fully objective?
Dear Friends and Colleagues of RG
I described the problem of "Anti-crisis state intervention and created in media images of global financial crisis" in the publication:
Please reply
Best wishes
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I m trying to construct a portfolio in R and choose the stocks from SP500 or FTSE100 componets that have the highest PE ratios. I am looking for historical data of PE ratios for the last 5 years of the individual stocks of all companies listed in the index to do backtesting . Is there a dataset that provides this?
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Is Value Line still available? Best, David Booth
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List the three categories of information that you think are the most important in fundamental analysis for the valuation of capital companies, issuers of securities and for investing in securities listed on the stock exchange?
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Warren Buffett summarises three categories of information in his latest annual report and accounts:
"Our long-held acquisition strategy is to acquire businesses that have consistent earning power, good returns on equity and able and honest management."
Berkshire Hathaway, 31 Dec 2018 annual report, Note 2, page K-77
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What is a model in financial analysis.
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A model is a simplified representation of reality - it can be a physical miniature/replica, or depiction of a phenomenon through some relational variables. By the very notion, it is based on a few assumptions. In financial analysis, an example is the dividend growth model that aims to value a firm basis quantum of future dividends.
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The process of credit risk management improvement is implemented mainly at the level of a specific commercial bank.
Central and supervisory institutions, which include mainly central banking and banking supervision institutions, may affect some aspects of this process, correct possible excessive levels of systemic credit risk, especially when a specific bank reliably implements prudential procedures in the scope of lending or in an aggravating situation the quality of the loan portfolio caused by the downturn in the domestic and possibly global economy.
Before the emergence of the global financial crisis in autumn 2008, there was an unwritten rule in some financial circles that a large banking entity could not fail.
The declaration of bankruptcy by jeen from the largest investment banks Lehman Brothers, from which the bankruptcy will begin the global financial crisis, questioned this type of opinion referring to entities of the financial system.
Since 2008, in the period of the past decade, another spectacular major mergers and acquisitions took place in the sector of commercial financial institutions, including some of the largest banks globally.
If the supervisory and central bodies of financial systems consent to this type of transaction, is it possible to assume that central banking and banking supervision institutions of particular countries are of the opinion that this is irrelevant to the potential increase in systemic credit risk and thus the risk of emergence in the future, the next and perhaps even more negative effects of the global financial crisis?
What if one of the largest banking entities on the global scale in the future would announce a permanent loss of liquidity?
Do the central banks that are accepting this state already have prepared prudential and rescue instruments, including, for example, counted in many billion USD or Euro rescue stabilization funds in the event of the emergence of the next global financial crisis?
These financial stabilization funds are reportedly already prepared, but can a potentially larger global financial crisis than the previous one in 2008 be effectively controlled thanks in principle only to these stabilization funds?
In addition, if central banking suggests to commercial banks, including investment banks operating on capital markets, that in the event of a financial crisis will help to eliminate the potential risk of bankruptcy of many financial system entities, how these statements translate into an approach to improving the credit risk management process and to comply with banking procedures regarding lending and securities operations and compliance with good business practices?
In my opinion, such unwritten statements can increase the moral risk and reduce the pressure and need to improve credit risk management processes.
On the other hand, the merger of one of the largest commercial finance sector entities and the emergence through mergers and acquisitions of larger banks may generate an increase in systemic credit risk, the negative consequences of which in the event of another financial crisis will be more difficult to control by central banking rescue tools, if the financial reserves shaping the issue of the security of the financial system in the economy maintained by certain central banks will not grow at such a rapid pace as the increase in the balance sheet total of merging and emerging growing banking entities.
In view of the above, after the past decade from the global financial crisis of 2008, the question still remains: Will further mergers and acquisitions in the investment banking sector increase the credit systemic risk in the economies?
Please, answer, comments. I invite you to the discussion.
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Nice infornation sharing by Dr @ Dariusz Prokopowicz
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I believe that the risk continues to grow in financial systems. This means that another global crisis can not be ruled out in the next few years. The financial system has not been repaired, and necessary investment programs for prudential systems have not been forced on investment banks. Large banks are becoming even larger. in autumn 2008 one of Lehman Brothers investment banks collapsed but several other similar ones earned in this crisis, in addition, there are many indications that they have contributed significantly to generating such a high systemic risk, they used the crisis to their business goals. The investment banks were not restricted from taking such high credit risk, which contributed to the outbreak of the global financial crisis in 2008. The system still remains vulnerable, the procedures are still not honestly observed. The fact that another global financial crisis will generate investment banks is almost certain. The only question is when will it happen?
Please, answer, comments. I invite you to the discussion.
Dear Friends and Colleagues of RG
The issues of risk management in the context of determinants of the global financial crisis, globalization processes, technological progress and other factors I described in the publications:
I invite you to discussion and cooperation.
Best wishes
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Generally, the stock price indices are classified into two different categories namely global indices and national indices, the national indices, which are more commonly quoted, represent the performance of the stock market of given country such as Brazil's BOVESPA, India's NSE or BSE, China's Hang Seng or the Shanghai SE Composite Index...etc, these type of indices are provided by the local financial authorities. The global equity indices, on the other hand, are calculated and provided by world agencies such as Thomson DataStream, Standard and Poor, Morgan Stanley...etc. In addition, these agencies also offer stock price indices at country level, the methodology used to calculate the stock price index may differ from agency to another, which may affect the return and volatility. For instance, the datastream market indices offer stock prices indices for 53 countries all over the world, each index covers at least 75-80% of market cap of the publicly listed companies in the country. The Standard and Poor agency has its own indices known as the Broad Market Index (BMI) and covers most of the developed and emerging countries, the method used by Standard and Poor to calculate the stock price index is called the adjusted float or free float methodology, which according to "Investopedia" is the best measurement of stock price movements. The same methodology is used by other agencies such as Morgan Stanley (MSCI), Financial Times and Stock Exchange (FTSE). The investors frequently use these indices as benchmarks for their equity portfolios.
As previously mentioned, these global agencies maintain a record of stock price index for many countries, even sometimes for period longer than the periods covered by national indices.
So, are these global indices suitable for academic researches and papers? Is it used in academic researches, especially in researches concerned with stock prices volatility? or it can only be used as benchmarks for the investors' portfolios?
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Dear Aboubakr
The choice of national stock indices versus global stock indices depends on the portfolio performance you are measuring. That is, if your portfolio is comprised of stocks from around the world then the better fitting benchmark is a global stock index. If instead the investor