Financial Analysis - Science topic

Hello fellow researchers,

I am actively seeking a research partner to collaborate on a project focused on accounting and accounting information systems. The purpose of this collaboration is to apply for a research grant at HES-SO (University of Applied Sciences and Arts Western Switzerland).

About Me: I am Sulaiman Weshah, an associate professor at Al-Balqa Applied University and a researcher with expertise in accounting and accounting information systems specifically and the business field in general.

My research interests revolve around [new technology such as clouding accounting, big data, blockchain, and its role in accounting, financial accounting and financial analysis, auditing, and business administration, and accounting education].

Desired Qualifications: I am looking for a research partner with a strong background in accounting and accounting information systems and business administration.

Collaborative Expectations: The ideal research partner would actively contribute to the project, bringing their expertise and insights to the table. We anticipate collaborating on various aspects, including data collection, analysis, methodology development, or publication. The goal is to jointly produce high-quality research outcomes and publications.

Contact Information: If you are interested in collaborating on this research project and applying for the HES-SO grant together, please reach out to me at my e-mail: sulaiman.weshah@bau.edu.jo or my mobile (WhatsApp): +962777052222

Thank you for considering this opportunity, and I look forward to potential collaborations with passionate researchers.

Best regards,

Dr. Sulaiman Weshah

In my opinion, it makes sense to create a new generation of something similar to ChatGPT, which will use databases built solely on the basis of continuously updated data, information, objectively verified knowledge resources, a kind of online business advisor, using defined business websites and portals, financial and economic information portals, which will answer the questions of entrepreneurs, businessmen, managers in charge of companies and enterprises, who will ask questions about the future development of their business, their company, enterprise, corporation. Such intelligent systems drawing on large data and information resources, processing large sets of economic and financial information and data in real time on Big Data Analytics platforms, providing current analytical data to business intelligence systems supporting business management processes, can prove very useful as tools to facilitate organizational management processes, forecasting various scenarios of abnormal events and scenarios of developments in the business environment, diagnosing escalation of risks, supporting early warning systems, diagnosing and forecasting opportunities and threats to the development of the company or enterprise, providing warning signals for contingency and risk management systems.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

There is a growing body of data suggesting that innovative startups may be created using the next generation of ChatGPT-like smart tools and/or whose business activities would be helped by such smart tools and/or certain new business concepts would be based on such smart tools. On the one hand, there are already emerging Internet startups based on artificial intelligence systems specialized in specific areas of creating textual, graphic, video, etc. elaborations that are variants of something similar to ChatGPT. On the other hand, arguably, some of these kinds of solutions may in the future turn into a kind of online business advisors generating advice for entrepreneurs developing new innovative startups.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

Where is the Jade due to the throwing out of a brick and a paving stone?

A brand new conception of preferable probability and its evaluation were created, the book was entitled "Probability - based multi - objective optimization for material selection", and published by Springer, which opens a new way for multi-objective orthogonal experimental design, uniform experimental design, respose surface design, and robust design, discretization treatment and sequential optimization, etc.

It aims to provide a rational approch without personal or other subjective coefficients, which is available at https://link.springer.com/book/9789811933509,

DOI: 10.1007/978-981-19-3351-6.

Best regards.

Yours

M. Zheng

I want to measure firm-level sustainable financing or financial sustainability. Do you have any suggestions for recommendations?

The fundamental analysis used to value the intrinsic value of securities issued by joint stock companies is often enriched by the simultaneous calculation of stock market indices. Stock market ratios, i.e. the ratio of price per share to recently generated earnings per share. However, the figure resulting from the calculation of this ratio for many listed companies is in the double digits for many years. The double-digit value of this ratio can be interpreted as the estimated return period over several decades of the financial capital invested by the investor in the purchase of specific securities, i.e. usually shares or corporate bonds. The long-term interpretation of this type of stock market indicator is primarily of interest to institutional shareholders holding larger shares of stock in a specific listed company. On the other hand, minority investors owning or planning to buy a relatively small shareholding in the context of the overall shareholding usually apply a current, short-term and relative interpretation of this type of stock market indicator, which is usually determined by the shorter time horizon of the planned investment in securities. For institutional investors, on the other hand, the decades-long period of investment in securities, the long-term management of the development of an economic entity, is particularly important in the context of their investment strategies. In view of the above, considerations inspired by questions such as: should the impact of the ongoing process of global warming on the future functioning of the economic entity under consideration already be taken into account?

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this subject?

Please respond,

I invite you all to discuss,

Thank you very much,

Warm regards,

Dariusz Prokopowicz

Some stock market investors, citizens and business entities, investment fund managers, investment banks operating in the capital markets use both technical analysis and fundamental analysis in their analysis and investment activities. The use of both of these analyses is usually based on the assumption that these two significantly different analyses can complement each other. Fundamental analysis consists of, among other things, several analytical segments on specific spheres of the economy, impact factors and risks acting on the operation of certain business entities, internal and external impact factors. In the environment of the company and the enterprise, the closer environment is analyzed, e.g. the competitive environment, relations with key competitors, with business counterparties, customers, with recipients of product and service offerings, with suppliers of raw materials, prefabricated components, subassemblies and other production factors necessary for business operations, with cooperators, with financial counterparties, lenders, etc. Strategic analysis, including, for example, SWOT analysis, marketing analysis, technical-economic analysis, organization analysis, financial analysis, including ratio analysis based on financial indicators based on quantitative data contained in financial statements, also plays an important role in fundamental analysis.

Technical analysis, on the other hand, involves analyzing changes in the rates and trading volumes of securities, currencies or commodities. This analysis is concerned with studying and interpreting the shapes of charts to forecast future prices (rates) based on an analysis of past price formation. Unlike fundamental analysis of a company, which takes into account both information about the global, macroeconomic, regional and industry environment in which it operates, as well as reports announced by the company itself, in the case of technical analysis these are not taken into account in the investment decision-making process. All the information needed for technical analysis is read directly from charts showing the historical price changes of the security, currency or raw material under analysis. Technical analysis assumes that stock market phenomena precede economic phenomena in time, and that the market is a mechanism for discounting the future. Technical analysts prefer to analyze the trend of the market instead of statistical data. Technical analysis is based on three basic rules: 1. Changes in supply and demand on the stock market are reflected in stock prices, 2. Changes in stock prices are subject to trends that persist over a long period of time, 3. Processes occurring on the stock market are repeated.

In view of the above, combining both analyses, i.e. fundamental and technical analysis, can give a kind of analytical added value. Accordingly, some stock market investors use both fundamental and technical analysis.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Warm regards,

Dariusz Prokopowicz

Could any expert try to examine the new interesting methodology for multi-objective optimization?

A brand new conception of preferable probability and its evaluation were created, the book was entitled "Probability - based multi - objective optimization for material selection", and published by Springer, which opens a new way for multi-objective orthogonal experimental design, uniform experimental design, respose surface design, and robust design, etc.

It is a rational approch without personal or other subjective coefficients, and available at https://link.springer.com/book/9789811933509,

DOI: 10.1007/978-981-19-3351-6.

Best regards.

Yours

M. Zheng

Since the commodity crisis of the 1970s, financial markets have been deregulated in many respects. The Bretton Woods international monetary system based on USD dollar parity collapsed (gold parity for the USD dollar was abolished). In the 1990s, many issues of the operation of deposit-credit commercial banks and investment banks were deregulated again.

It was made possible for the two types of banking to merge. This had its effects in generating the global financial crisis of 2007-2009. Due to the deregulation of financial markets, systemic credit risk increased significantly. The importance of improving the credit risk management process implemented in financial institutions, including commercial and investment banks, also increased. In many countries, the practice of money printing without coverage of manufactured products was practised, leading to increased inflation and, in some countries, to the occurrence of hyperinflation. Too low interest rates and government guarantees and other elements of a soft monetary policy led to too cheap money, too high a level of credit for economic activity and too high a level of credit risk, a decline in the repayment of bank loans and, as a consequence, to financial, economic and debt crises, etc. Derivatives specifically generated for this purpose, including credit derivatives such as subprime bonds, CDOs, etc., sold by investment banks to successive investors to generate additional money for unreliably (with practically no credit checks) granted mortgages, led to the major global financial crisis of 2008 in 2007-2009. I have been researching this issue. I have included the conclusions of my research in articles which, when published, I posted on my profile of this Research Gate portal. I invite research collaboration. I would like to hear your views on this issue.

In view of the above, the following question is topical:

What do you think about this topic?

Please reply,

I invite you all to discuss,

Thank you very much,

Greetings,

Dariusz Prokopowicz

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

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

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

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:

Please reply

I invite you to the discussion

Thank you very much

Best wishes

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,

I invite you to discussion and cooperation.

Best wishes

Any source of getting financial data (Balance sheet) of listed companies on bursa Malaysia?

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?

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.

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

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?

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

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

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,

I invite you to discussion and cooperation.

Best wishes

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.

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

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

Best wishes

Is it possible to analyze the financial performance of banks using a questionnaire form without using the recognized financial performance indicators?

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 !

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

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

Mechanism of financial analysis in government units?

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

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!!!

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

I invite you to discussion and cooperation.

Best wishes

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:

Please reply

I invite you to the discussion

Thank you very much

Dear Colleagues and Friends from RG

I invite you to discussion and cooperation.

Thank you very much

Best wishes

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

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

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

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:

Please reply

I invite you to the discussion

Thank you very much

Best wishes

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

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

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

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,

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

The Data is for Academic Research

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.

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.

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,

I invite you to discussion and cooperation.

Best wishes

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

I invite you to discussion and cooperation.

Best wishes

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.

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.

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?

What could be the consequences in the 2019 Financial Statements of the application of the new IFRS 16?

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?

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:

Please reply

I invite you to the discussion

Thank you very much

Dear Colleagues and Friends from RG

I invite you to discussion and cooperation.

Best wishes

The question is about how to carry out financial analysis of agronomic treatments

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?

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