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Hello, I am looking for bank-specific FinTech data. Can anyone suggest data sources for commonly used proxies of firm-level FinTech activities in commercial banks, such as 'Investment in FinTech,' 'Adoption of FinTech Technologies,' and 'Bank-Specific FinTech Indices'?
Regards
Dr. Azizur
Does the applied creative accounting in the design and implementation of the central, financial state budget, government-run public finances of the state, the formation of the level of tax revenues to the state budget and expenditures, the generation of a certain level of debt of the system of public finances of the state generate the occurrence of a financial crisis in the future in terms of the system of public finances of the state?
In the country where I operate according to the content of Article 219 of the Constitution of the Republic of Poland, the state budget should be implemented in accordance with the Budget Law and the Budget Law also in accordance with the Constitution. However, in Poland, a kind of second, additional, alternative “state budget” based on additional expenditures realized with printed money has been in operation for several years. This additional “state budget” functioning in addition to the official state budget is in fact not a budget at all, but is made up of financial special purpose funds specially created for this purpose in the Bank Gospodarstwa Krajowego and the Polish Development Fund, which are fed with printed money. The mechanism of the aforementioned money printing, i.e. the national currency PLN, was used in Poland on a historically exceptional scale for the first time during the Covid-19 pandemic. the government in Poland at the time took advantage of the confusion that arose during the Covid-19 pandemic in the financial markets, including the capital markets, to introduce, on the one hand, lockdowns deepening the recession of the economy and financial support programs for the economy based on the large amount of printed money introduced into the economy. The mechanism of the aforementioned money printing, i.e. the national PLN currency, was borrowed from other countries that used this solution during previous deep economic and/or financial crises. For example, during the global financial crisis of 2008, this mechanism was used on a large scale in some countries, but then it was a matter of financial support of the banking system with money coming from the state's public finance system in order to maintain the liquidity of commercial and investment banks, i.e. institutions that were largely responsible for causing the said financial crisis. In Poland, on the other hand, during the pandemic economic crisis of 2020, the procedure of introducing a large amount of printed money into the economy was not aimed at supporting the banking system, which was in a good situation and in the following years 2021-2024 recorded record profits, nor was it aimed at financially supporting the implementation of pro-development investment projects, in which new technologies, etc. would be implemented. The printed, anti-crisis money was given to a large number of companies and enterprises operating in various sectors of the economy in the form of subsidies to pay fixed costs and subsidies to employees' salaries on the condition that business activity was maintained despite the lockdowns and periods of national quarantine that had been introduced, and on the condition that the state of employment was maintained despite the real significant reduction in the scale of business activity. The idea was that the official level of employment shown by the Central Statistical Office would not fall and the level of unemployment would not rise in the business sector. The result of this unconstitutional procedure was that the government generated one of the highest inflation rates that occurred in Poland compared to Europe in the years 2021-2023. The mechanism of the aforementioned money printing, i.e. the national currency PLN, consisted in Poland in that the central bank, i.e. the National Bank of Poland, indirectly bought certain issues of rolled-up treasury bonds, and in this way more than 300 billion PLN of additional money was introduced into the economy without coverage in manufactured products and services. These additional series of Treasury bonds were transferred to the special purpose funds of the Bank Gospodarstwa Krajowego and the Polish Development Fund. The central bank then redeemed them, and in this way the printed money was introduced into the aforementioned special purpose funds. The earmarked funds of the Bank Gospodarstwa Krajowego and the Polish Development Fund were excluded from the official state budget, and in this way the government implemented a kind of creative accounting for the state's public finance system.
The key issues of the impact of the Covid-19 pandemic on the economy and financial markets are described in my article below:
IMPACT OF THE CORONAVIRUS PANDEMIC (COVID-19) ON FINANCIAL MARKETS AND THE ECONOMY
I have described some of the issues of the above in the following articles:
IMPACT OF THE SARS-COV-2 CORONAVIRUS PANDEMIC (COVID-19) ON GLOBALIZATION PROCESSES
POLAND'S 2022 ENERGY CRISIS AS A RESULT OF THE WAR IN UKRAINE AND YEARS OF NEGLECT TO CARRY OUT A GREEN TRANSFORMATION OF THE ENERGY SECTOR
I described the key issues of anti-crisis state interventionism in my article below:
Anti-crisis state intervention and created in media images of global financial crisis
Analysis of the effects of post-2008 anti-crisis mild monetary policy of the Federal Reserve Bank and the European Central Bank
I invite you to familiarize yourself with the issues described in the above-mentioned publications, as well as to scientific cooperation in these issues.
In view of the above, I address the following question to the esteemed community of scholars and researchers:
Does the applied creative accounting in the design and implementation of the central financial state budget, the government-run public finances of the state, the formation of the level of tax revenues to the state budget and expenditures, the generation of a certain level of debt of the system of public finances of the state generate the occurrence of a financial crisis in the future in the system of public finances of the state?
Does the applied creative accounting in the field of public finances of the state generate the occurrence of a financial crisis in the future?
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
The above text is entirely my own work written by me on the basis of my research.
In writing this text, I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
In the static version, the fixed effects followed by the random effects is quite clear. When, however, the dinamic version is proved to be the model choice?
Does the application of Big Data Analytics and artificial intelligence technologies in the credit scoring processes of potential borrowers increase the profitability of commercial banks' lending activities?
Does the application of Big Data Analytics and artificial intelligence technologies in the processes of screening the creditworthiness of potential borrowers in order to improve, among other things, credit scoring analytics and credit risk management increase the profitability of commercial banks' lending activities?
In recent years, the scale of application of ICT and Industry 4.0/5.0, including Big Data Analytics and Artificial Intelligence technologies in financial institutions, including commercial banks, has been increasing. The banking sector is among those sectors of the economy where the implementation of new information technologies used to build banking information systems is progressing rapidly. This process in highly developed countries has been taking place since the 1960s. Subsequently, the development of computer science, personal computer technology in the 1970s and 1980s, the development of the Internet and business applications of Internet technology since the 1990s and then the development of technologies typical of Industry 4.0/5.0 set the trends of technological progress, the effects of which in the form of new technological solutions quickly found applications in financial institutions. Commercial banks operating in the model of classic deposit-credit banking usually generate the largest part of their revenues from the sale of bank loans and credits. Large universal banks also develop selected elements of investment banking, in which they finance the construction of housing estates through their own development companies, make financial transactions with securities, financial transactions in foreign exchange markets and other capital markets. In all these areas of activity, the key categories of banking risk that banks manage include credit and interest rate risk and other financial risks, i.e. liquidity risk, debt risk. In addition, the key categories of risk that the bank manages in its banking operations include asset-liability mismatch risk in the balance sheet and various categories of operational risks related to the performance of certain activities at the bank, including personnel operational risk related to the staff employed, technical operational risk related to the technical equipment used, system operational risk related to the IT systems used, etc. On the other hand, risks operating in the bank's environment and affecting the bank's operations and indirectly also the bank's financial performance include market risk of changes in the prices of specific assortments relating to specific markets in which banks operate; foreign exchange risk associated with transactions made using different currencies; investment risk within investment banking; systemic risk associated with the functioning of the financial system; political risk associated with the government's economic policy; risks of high volatility of macroeconomic development of the economy associated with changes in the economy's economic situation in the context of business cycles realized on a multi-year scale, etc. However, in a situation where lending activities are the main types of sources of income for a commercial bank then a particularly important category of banking risk that the bank manages is credit risk. On the other hand, due to the rapid development of electronic, Internet and mobile banking, cyber risk management is also growing in importance. New ICT information technologies and Industry 4.0/5.0, including Big Data Analytics and Artificial Intelligence technologies, can be increasingly helpful in managing each of the aforementioned risk categories. The aforementioned new technologies prove to be particularly helpful in the situation of their effective implementation into banking activities in order to improve the processes of managing, among other things, credit risk. An important element of individual credit risk management, i.e. with regard to individual credit transactions, are the methodologies, procedures, processes, etc. concerning the analysis of a potential borrower's creditworthiness and credit risk arising from a bank loan carried out in commercial banks. In view of the above, the implementation of new technologies to support the implementation of the processes of examining the creditworthiness of potential borrowers and improving, among other things, credit scoring analytics, are particularly important aspects of credit risk management, which may translate into increased profitability of commercial banks' bank lending activities.
I described selected issues of improving credit risk management processes, including the issue of screening the creditworthiness of potential borrowers and credit scoring analytics, in an article of my co-authorship:
Determinants of credit risk management in the context of the development of the derivatives market and the cyclical conjuncture economic processes
IMPROVING MANAGING THE CREDIT RISK IN CONDITIONS SLOWING ECONOMIC GROWTH
THE IMPLEMENTATION OF AN INTEGRATED CREDIT RISK MANAGEMENT IN OPERATING IN POLAND COMMERCIAL BANKS
Importance and implementation of improvement process of prudential instruments in commercial banks on the background of anti-crisis socio-economic policy in Poland
GLOBALIZATIONAL AND NORMATIVE DETERMINANTS OF THE IMPROVEMENT OF THE BANKING CREDIT RISK MANAGEMENT IN POLAND
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Does the application of Big Data Analytics and artificial intelligence technologies in the processes of screening the creditworthiness of potential borrowers in order to improve, among other things, credit scoring analytics and credit risk management, result in an increase in the profitability of commercial banks' bank lending activities?
Does the application of Big Data Analytics and artificial intelligence technologies in the credit scoring processes of potential borrowers result in increased profitability of commercial banks' lending business?
Can Big Data Analytics and artificial intelligence help improve credit scoring and increase the profitability of commercial banks' lending activities?
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 regards,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text, I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
Does the application of generative artificial intelligence technology and Big Data Analytics enable the improvement of computerized Business Intelligence business management support systems?
The growing volume of data that is processed in companies and enterprises determines the need to involve specialized software and information systems, thanks to which both the analysis of data will be carried out effectively and the results of the analytics carried out will enable the use of the resulting knowledge to support the management processes of the business entity. The issue of the scope of large amounts of data acquired from various sources, their storage and processing is related to Big Data Analytics technology. However, in order to significantly increase the efficiency of processing large sets of data and information with the use of this type of analytics to support the management process of the business entity, computerized, multi-module business intelligence applications are particularly helpful in this regard. The combination of database technologies and analytical platforms of Big Data Analytics and Business Intelligence type applications makes it possible, on the basis of large data sets containing not fully structured and organized data, to generate useful information for a specific entity, as well as concretized and sublimated substantive knowledge used to support the management process of an organization, institution, business entity, etc. In terms of the key objectives of the application of knowledge generated in this way, it is distinguished to improve the quality of business decisions, reduce the risk of making errors during the processes of managing the organization, improve risk management systems, increase the effectiveness of early warning systems of new threats and development opportunities, etc. Analytics conducted on large data sets and implemented using Big Data Analytics and Business Intelligence applications can help in the processes of carrying out restructuring, developing a new strategy, investment project, marketing plan, business remodeling, etc. Analytics based on Business Intelligence applications can be helpful in the processes of supporting the management of various spheres of business activity of companies and enterprises and thus supporting the operation of various departments, including procurement, production, distribution, sales, marketing communication with customers, relations with business contractors, financial or public institutions. Multi-module business intelligence information systems can operate as integrated information systems or can be one of the key elements of such information systems digitally integrating many different aspects of companies, enterprises or other types of entities. Besides, multi-module complex Business Intelligence information systems can be dedicated to handle and support the implementation of specific business processes at different levels of an organization's organizational structure, i.e. they can consist of modules dedicated to handling for operational employees, departmental managers, managers, but also the board of directors and the company's president. Besides, in connection with the development of deep learning technologies carried out using artificial neural networks and generative artificial intelligence technologies, there are opportunities to increase the scale of automation of analytical processes through the use of the aforementioned technologies. The application of artificial intelligence technologies to analytics carried out using Big Data Analytics and artificial intelligence can significantly increase the efficiency of analytical processes and in terms of supporting organizational management processes, can speed up decision-making processes and reduce the risk of errors. A particularly important attribute of such solutions is the ability to perform predictive analysis and forecasting, so that an entrepreneur can spot certain business and economic patterns in good time and forecast future financial performance and development trends more accurately. Thanks to the use of generative artificial intelligence technology, the functionality and usefulness of analytics based on Big Data Analytics and Business Intelligence class systems is significantly increasing.
In view of the rapid development of applications of generative artificial intelligence technology and its implementation into applications and information systems supporting business management processes, I addressed the Research Gate community of Researchers, Scientists, Friends with the above question.
I described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
I described the applications of Big Data technologies in sentiment analysis, business analytics and risk management in my co-authored article:
APPLICATION OF DATA BASE SYSTEMS BIG DATA AND BUSINESS INTELLIGENCE SOFTWARE IN INTEGRATED RISK MANAGEMENT IN ORGANIZATION
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Does the application of generative artificial intelligence and Big Data Analytics technologies enable the improvement of computerized Business Intelligence support systems for enterprise management processes?
Does the application of artificial intelligence and Big Data Analytics enable the improvement of computerized Business Intelligence systems?
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
The above text is entirely my own work written by me on the basis of my research.
In writing this text, I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
AI-based research software has been in use recently, spanning a wide range of applications across various fields, including Drug Discovery and Development, Precision Medicine, Healthcare Diagnostics and Imaging, Environmental Monitoring and Conservation, Autonomous Vehicles and Robotics, Language Processing and Translation, Financial Analysis and Trading, Cybersecurity, Manufacturing and Supply Chain Optimization, Agricultural Optimization etc. The innovation has also been applied in the fields of Education and Learning, Content Creation and Entertainment.
Recently, I came across AnswerThis to facilitate my research work. What is your opinion regarding use of this software? Available at https://answerthis.io/signup
How can artificial intelligence help conduct economic and financial analysis, sectoral and macroeconomic analysis, fundamental and technical analysis ...?
How should one carry out the process of training generative artificial intelligence based on historical economic data so as to build a system that automatically carries out economic and financial analysis ...?
How should the process of training generative artificial intelligence be carried out based on historical economic data so as to build a system that automatically carries out sectoral and macroeconomic analyses, economic and financial analyses of business entities, fundamental and technical analyses for securities priced on stock exchanges?
Based on relevant historical economic data, can generative artificial intelligence be trained so as to build a system that automatically conducts sectoral and macroeconomic analyses, economic and financial analyses of business entities, fundamental and technical analyses for securities priced on stock exchanges?
The combination of various analytical techniques, ICT information technologies, Industry 4.0/5.0, including Big Data Analytics, cloud computing, multi-criteria simulation models, digital twins, Business Intelligence and machine learning, deep learning up to generative artificial intelligence, and quantum computers characterized by high computing power, opens up new, broader possibilities for carrying out complex analytical processes based on processing large sets of data and information. Adding generative artificial intelligence to the aforementioned technological mix also opens up new possibilities for carrying out predictive analyses based on complex, multi-factor models made up of various interrelated indicators, which can dynamically adapt to the changing environment of various factors and conditions. The aforementioned complex models can relate to economic processes, including macroeconomic processes, specific markets, the functioning of business entities in specific markets and in the dynamically changing sectoral and macroeconomic environment of the domestic and international global economy. Identified and described trends of specific economic and financial processes developed on the basis of historical data of the previous months, quarters and years are the basis for the development of forecasts of extrapolation of these trends for the following months, quarters and years, taking into account a number of alternative situation scenarios, which can dynamically change over time depending on changing conditions and market and sectoral determinants of the environment of specific analyzed companies and enterprises. In addition to this, the forecasting models developed in this way can apply to various types of sectoral and macroeconomic analyses, economic and financial analyses of business entities, fundamental and technical analyses carried out for securities priced in the market on stock exchanges. Market valuations of securities are juxtaposed with the results of the fundamental analyses carried out in order to diagnose the scale of undervaluation or overvaluation of the market valuation of specific stocks, bonds, derivatives or other types of financial instruments traded on stock exchanges. In view of the above, opportunities are now emerging in which, based on relevant historical economic data, generative artificial intelligence can be trained so as to build a system that automatically conducts sectoral and macroeconomic analyses, economic and financial analyses of business entities, fundamental and technical analyses for securities priced on stock exchanges.
I described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Based on relevant historical economic data, is it possible to train generative artificial intelligence so as to build a system that automatically conducts sectoral and macroeconomic analyses, economic and financial analyses of business entities, fundamental and technical analyses for securities priced on stock exchanges?
How should the process of training generative artificial intelligence based on historical economic data be carried out so as to build a system that automatically carries out sectoral and macroeconomic analyses, economic and financial analyses of business entities, fundamental and technical analyses for securities priced on stock exchanges?
How should one go about training generative artificial intelligence based on historical economic data so as to build a system that automatically conducts economic and financial analyses ...?
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 regards,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
we have measured three financial scale i.e., Basic financial literacy and financial awareness regarding financial products and financial inclusion. So, i wan to assess the composite impact of three variable of financial well being of respondents.
What is the current impact of Financial Technology (Fintech) backed by ICT information technology and Industry 4.0/5.0 on commercial banking?
The influence of Financial Technology (Fintech) backed by ICT information technologies and Industry 4.0/5.0 on commercial banking has been growing in recent years. Commercial banks, concerned about the development of Financial Technology (Fintech) in support of the sale of online information services, the development of financial intermediation, online payments developed as part of the offerings of Internet-based technology companies, are trying to implement similar solutions into the developed online and mobile banking. The implementation of ICT and Industry 4.0/5.0 information technologies, including recently Big Data Analytics, cloud computing and generative artificial intelligence, among others, can be helpful in the framework of creating Financial Technology (Fintech) solutions in commercial banks.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
What is the current impact of Financial Technology (Fintech) supported by ICT information technologies and Industry 4.0/5.0 on commercial banking?
What is the current impact of Financial Technology (Fintech) on commercial banking?
And what is your opinion on this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best regards,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research. In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
What are the possibilities of applying AI-based tools, including ChatGPT and other AI applications in the field of predictive analytics in the context of forecasting economic processes, trends, phenomena?
The ongoing technological advances in ICT and Industry 4.0/5.0, including Big Data Analytics, Data Science, cloud computing, generative artificial intelligence, Internet of Things, multi-criteria simulation models, digital twins, Blockchain, etc., make it possible to carry out advanced data processing on increasingly large volumes of data and information. The aforementioned technologies contribute to the improvement of analytical processes concerning the operation of business entities, including, among others, in the field of Business Intelligence, economic analysis as well as in the field of predictive analytics in the context of forecasting processes, trends, economic phenomena. In connection with the dynamic development of generative artificial intelligence technology over the past few quarters and the simultaneous successive increase in the computing power of constantly improved microprocessors, the possibilities of improving predictive analytics in the context of forecasting economic processes may also grow.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
What are the possibilities of applying AI-based tools, including ChatGPT and other AI applications for predictive analytics in the context of forecasting economic processes, trends, phenomena?
What are the possibilities of applying AI-based tools in the field of predictive analytics in the context of forecasting economic processes?
And what is your opinion on this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best regards,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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 your opinion, does it make 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?
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:
In your opinion, does it make 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?
In your opinion, does it make sense to create a new generation of something similar to ChatGPT, a kind of intelligent online business advisor?
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,
The key issues of opportunities and threats to the development of artificial intelligence technologies are described in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
Please write what you think in this issue? Do you see rather threats or opportunities associated with the development of artificial intelligence technology?
What is your opinion on this issue?
I invite you to familiarize yourself with the problems described in the article given above and to scientific cooperation on this issue.
Best wishes,
Dariusz Prokopowicz
Counting on your opinions, on getting to know your personal opinion, on a fair approach to the discussion of scientific issues, I deliberately used the phrase "in your opinion" in the question.
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
What kind of innovative startups do you think can be created using a new generation of smart tools similar to ChatGPT 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?
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 kind of innovative startups do you think could be developed using a new generation of smart tools similar to ChatGPT 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?
What kind of innovative startups can be created based on the next generation of ChatGPT-like smart tools?
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
Counting on your opinions, on getting to know your personal opinion, on a fair approach to the discussion of scientific issues, I deliberately used the phrase "in your opinion" in the question.
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Copyright by 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?
Should the projected impact of the global warming process on the future performance of the analysed business entity already be added to the fundamental analysis of listed companies' securities?
Should the impact of the progressive process of global warming on the future functioning of the economic entity under analysis already be included in the scope of the fundamental analysis used for the valuation of the intrinsic value of securities issued by joint stock companies?
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:
Within the scope of the fundamental analysis carried out and applied to the valuation of the intrinsic value of securities issued by joint stock companies, should the impact of the progressive process of global warming on the future functioning of the analysed economic entity already be taken into account?
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
How can an effective investment strategy involving a combination of fundamental analysis and technical analysis be built in the analysis of stock markets or other investment assets priced in the capital markets?
On what premises, model assumptions can an effective investment strategy involving a combination of fundamental analysis and technical analysis in the analysis of stock markets or other investment assets priced in the capital markets be designed?
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:
On what premises, model assumptions, can an effective investment strategy be designed to combine fundamental analysis and technical analysis in the analysis of stock markets or other investment assets priced in the capital markets?
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
Are today's financial markets over-regulated, optimally normatively regulated or overly deregulated and liberalised in their functioning?
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:
Are the current financial markets over-regulated, optimally normatively regulated or are they too deregulated and liberalised in their functioning?
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:
For what purpose do banks create their own cryptocurrencies?
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,
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
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,
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
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
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
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
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
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:
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
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