Author: Jianping Li
Publisher: Springer Nature
ISBN: 9811904081
Category : Business & Economics
Languages : en
Pages : 217
Book Description
This book proposes a bank risk aggregation framework based on financial statements. Specifically, bank risk aggregation is of great importance to maintain stable operation of banking industry and prevent financial crisis. A major obstacle to bank risk management is the problem of data shortage, which makes many quantitative risk aggregation approaches typically fail. Recently, to overcome the problem of inaccurate total risk results caused by the shortage of risk data, some researchers have proposed a series of financial statements-based bank risk aggregation approaches. However, the existing studies have drawbacks of low frequency and time lag of financial statements data and usually ignore off-balance sheet business risk in bank risk aggregation. Thus, by reviewing the research progress in bank risk aggregation based on financial statements and improving the drawbacks of existing methods, this book proposes a bank risk aggregation framework based on financial statements. It makes full use of information recorded in financial statements, including income statement, on- and off-balance sheet assets, and textual risk disclosures, which solves the problem of data shortage in bank risk aggregation to some extent and improves the reliability and rationality of bank risk aggregation results. This book not only improves the theoretical studies of bank risk aggregation, but also provides an important support for the capital allocation of the banking industry in practice. Thus, this book has theoretical and practical importance for bank managers and researchers of bank risk management.
Financial Statements-Based Bank Risk Aggregation
Author: Jianping Li
Publisher: Springer Nature
ISBN: 9811904081
Category : Business & Economics
Languages : en
Pages : 217
Book Description
This book proposes a bank risk aggregation framework based on financial statements. Specifically, bank risk aggregation is of great importance to maintain stable operation of banking industry and prevent financial crisis. A major obstacle to bank risk management is the problem of data shortage, which makes many quantitative risk aggregation approaches typically fail. Recently, to overcome the problem of inaccurate total risk results caused by the shortage of risk data, some researchers have proposed a series of financial statements-based bank risk aggregation approaches. However, the existing studies have drawbacks of low frequency and time lag of financial statements data and usually ignore off-balance sheet business risk in bank risk aggregation. Thus, by reviewing the research progress in bank risk aggregation based on financial statements and improving the drawbacks of existing methods, this book proposes a bank risk aggregation framework based on financial statements. It makes full use of information recorded in financial statements, including income statement, on- and off-balance sheet assets, and textual risk disclosures, which solves the problem of data shortage in bank risk aggregation to some extent and improves the reliability and rationality of bank risk aggregation results. This book not only improves the theoretical studies of bank risk aggregation, but also provides an important support for the capital allocation of the banking industry in practice. Thus, this book has theoretical and practical importance for bank managers and researchers of bank risk management.
Publisher: Springer Nature
ISBN: 9811904081
Category : Business & Economics
Languages : en
Pages : 217
Book Description
This book proposes a bank risk aggregation framework based on financial statements. Specifically, bank risk aggregation is of great importance to maintain stable operation of banking industry and prevent financial crisis. A major obstacle to bank risk management is the problem of data shortage, which makes many quantitative risk aggregation approaches typically fail. Recently, to overcome the problem of inaccurate total risk results caused by the shortage of risk data, some researchers have proposed a series of financial statements-based bank risk aggregation approaches. However, the existing studies have drawbacks of low frequency and time lag of financial statements data and usually ignore off-balance sheet business risk in bank risk aggregation. Thus, by reviewing the research progress in bank risk aggregation based on financial statements and improving the drawbacks of existing methods, this book proposes a bank risk aggregation framework based on financial statements. It makes full use of information recorded in financial statements, including income statement, on- and off-balance sheet assets, and textual risk disclosures, which solves the problem of data shortage in bank risk aggregation to some extent and improves the reliability and rationality of bank risk aggregation results. This book not only improves the theoretical studies of bank risk aggregation, but also provides an important support for the capital allocation of the banking industry in practice. Thus, this book has theoretical and practical importance for bank managers and researchers of bank risk management.
International Convergence of Capital Measurement and Capital Standards
Author:
Publisher: Lulu.com
ISBN: 9291316695
Category : Bank capital
Languages : en
Pages : 294
Book Description
Publisher: Lulu.com
ISBN: 9291316695
Category : Bank capital
Languages : en
Pages : 294
Book Description
Handbook Of Financial Econometrics, Mathematics, Statistics, And Machine Learning (In 4 Volumes)
Author: Cheng Few Lee
Publisher: World Scientific
ISBN: 9811202400
Category : Business & Economics
Languages : en
Pages : 5053
Book Description
This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and machine learning. Econometric methods have been applied in asset pricing, corporate finance, international finance, options and futures, risk management, and in stress testing for financial institutions. This handbook discusses a variety of econometric methods, including single equation multiple regression, simultaneous equation regression, and panel data analysis, among others. It also covers statistical distributions, such as the binomial and log normal distributions, in light of their applications to portfolio theory and asset management in addition to their use in research regarding options and futures contracts.In both theory and methodology, we need to rely upon mathematics, which includes linear algebra, geometry, differential equations, Stochastic differential equation (Ito calculus), optimization, constrained optimization, and others. These forms of mathematics have been used to derive capital market line, security market line (capital asset pricing model), option pricing model, portfolio analysis, and others.In recent times, an increased importance has been given to computer technology in financial research. Different computer languages and programming techniques are important tools for empirical research in finance. Hence, simulation, machine learning, big data, and financial payments are explored in this handbook.Led by Distinguished Professor Cheng Few Lee from Rutgers University, this multi-volume work integrates theoretical, methodological, and practical issues based on his years of academic and industry experience.
Publisher: World Scientific
ISBN: 9811202400
Category : Business & Economics
Languages : en
Pages : 5053
Book Description
This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and machine learning. Econometric methods have been applied in asset pricing, corporate finance, international finance, options and futures, risk management, and in stress testing for financial institutions. This handbook discusses a variety of econometric methods, including single equation multiple regression, simultaneous equation regression, and panel data analysis, among others. It also covers statistical distributions, such as the binomial and log normal distributions, in light of their applications to portfolio theory and asset management in addition to their use in research regarding options and futures contracts.In both theory and methodology, we need to rely upon mathematics, which includes linear algebra, geometry, differential equations, Stochastic differential equation (Ito calculus), optimization, constrained optimization, and others. These forms of mathematics have been used to derive capital market line, security market line (capital asset pricing model), option pricing model, portfolio analysis, and others.In recent times, an increased importance has been given to computer technology in financial research. Different computer languages and programming techniques are important tools for empirical research in finance. Hence, simulation, machine learning, big data, and financial payments are explored in this handbook.Led by Distinguished Professor Cheng Few Lee from Rutgers University, this multi-volume work integrates theoretical, methodological, and practical issues based on his years of academic and industry experience.
Financial Soundness Indicators
Author: International Monetary Fund
Publisher: International Monetary Fund
ISBN: 1589063856
Category : Business & Economics
Languages : en
Pages : 302
Book Description
Financial Soundness Indicators (FSIs) are measures that indicate the current financial health and soundness of a country's financial institutions, and their corporate and household counterparts. FSIs include both aggregated individual institution data and indicators that are representative of the markets in which the financial institutions operate. FSIs are calculated and disseminated for the purpose of supporting macroprudential analysis--the assessment and surveillance of the strengths and vulnerabilities of financial systems--with a view to strengthening financial stability and limiting the likelihood of financial crises. Financial Soundness Indicators: Compilation Guide is intended to give guidance on the concepts, sources, and compilation and dissemination techniques underlying FSIs; to encourage the use and cross-country comparison of these data; and, thereby, to support national and international surveillance of financial systems.
Publisher: International Monetary Fund
ISBN: 1589063856
Category : Business & Economics
Languages : en
Pages : 302
Book Description
Financial Soundness Indicators (FSIs) are measures that indicate the current financial health and soundness of a country's financial institutions, and their corporate and household counterparts. FSIs include both aggregated individual institution data and indicators that are representative of the markets in which the financial institutions operate. FSIs are calculated and disseminated for the purpose of supporting macroprudential analysis--the assessment and surveillance of the strengths and vulnerabilities of financial systems--with a view to strengthening financial stability and limiting the likelihood of financial crises. Financial Soundness Indicators: Compilation Guide is intended to give guidance on the concepts, sources, and compilation and dissemination techniques underlying FSIs; to encourage the use and cross-country comparison of these data; and, thereby, to support national and international surveillance of financial systems.
Risk Disclosure in the European Banking Industry
Author: Salvatore Polizzi
Publisher: Springer Nature
ISBN: 3030939677
Category : Business & Economics
Languages : en
Pages : 150
Book Description
This book analyses the use of qualitative and quantitative content analysis methodologies for risk disclosure practices in the European banking industry. While doing so, it assesses the level of transparency of financial and non-financial reports by focusing on the information disclosed to the public with reference to risk exposure and management. By drawing upon both qualitative and quantitative techniques, the book proposes two different methodological approaches to assess the information European financial institutions provide to the public with reference to the risk disclosure and derivative disclosure in their annual financial reports. These methodologies are subsequently employed to carry out empirical analyses on samples of European banks. By exploiting the points of strength of both qualitative and quantitative content analysis methodologies, this book offers insights into the advantages and disadvantages of these methodologies. The book is a must-read for academics and researchers that analyze disclosure practices of financial and non-financial firms, as well as financial analysts and other practitioners that are interested in assessing the level of transparency and evaluating the disclosures of financial and non-financial firms, especially, but not exclusively, with reference to risk disclosure and derivative disclosure.
Publisher: Springer Nature
ISBN: 3030939677
Category : Business & Economics
Languages : en
Pages : 150
Book Description
This book analyses the use of qualitative and quantitative content analysis methodologies for risk disclosure practices in the European banking industry. While doing so, it assesses the level of transparency of financial and non-financial reports by focusing on the information disclosed to the public with reference to risk exposure and management. By drawing upon both qualitative and quantitative techniques, the book proposes two different methodological approaches to assess the information European financial institutions provide to the public with reference to the risk disclosure and derivative disclosure in their annual financial reports. These methodologies are subsequently employed to carry out empirical analyses on samples of European banks. By exploiting the points of strength of both qualitative and quantitative content analysis methodologies, this book offers insights into the advantages and disadvantages of these methodologies. The book is a must-read for academics and researchers that analyze disclosure practices of financial and non-financial firms, as well as financial analysts and other practitioners that are interested in assessing the level of transparency and evaluating the disclosures of financial and non-financial firms, especially, but not exclusively, with reference to risk disclosure and derivative disclosure.
Advances in Investment Analysis and Portfolio Management (New Series) Vol.9
Author: Cheng F. Lee
Publisher: Center for PBBEFR & Ainosco Press
ISBN: 9864371746
Category : Business & Economics
Languages : en
Pages :
Book Description
Advances in Investment Analysis and Portfolio Management (New Series) is an annual publication designed to disseminate developments in the area of investment analysis and portfolio management. The publication is a forum for statistical and quantitative analyses of issues in security analysis, portfolio management, options, futures, and other related issues. The objective is to promote interaction between academic research in finance, economics, and accounting and applied research in the financial community.
Publisher: Center for PBBEFR & Ainosco Press
ISBN: 9864371746
Category : Business & Economics
Languages : en
Pages :
Book Description
Advances in Investment Analysis and Portfolio Management (New Series) is an annual publication designed to disseminate developments in the area of investment analysis and portfolio management. The publication is a forum for statistical and quantitative analyses of issues in security analysis, portfolio management, options, futures, and other related issues. The objective is to promote interaction between academic research in finance, economics, and accounting and applied research in the financial community.
Analyzing Financial Statements
Author: Thomas P. Carlin
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 368
Book Description
Aimed at commercial loan officers and officer trainees familiar with basic accounting principles and practices, this text details how to use advanced analytical techniques, including sensitivity analysis and operation leverage as well as providing the practice necessary to construct and analyze long-run, multiple year forecasts of income statements and balance sheets.
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 368
Book Description
Aimed at commercial loan officers and officer trainees familiar with basic accounting principles and practices, this text details how to use advanced analytical techniques, including sensitivity analysis and operation leverage as well as providing the practice necessary to construct and analyze long-run, multiple year forecasts of income statements and balance sheets.
Data Science
Author: Jing He
Publisher: Springer Nature
ISBN: 9811528101
Category : Computers
Languages : en
Pages : 720
Book Description
This book constitutes the refereed proceedings of the 6th International Conference on Data Science, ICDS 2019, held in Ningbo, China, during May 2019. The 64 revised full papers presented were carefully reviewed and selected from 210 submissions. The research papers cover the areas of Advancement of Data Science and Smart City Applications, Theory of Data Science, Data Science of People and Health, Web of Data, Data Science of Trust and Internet of Things.
Publisher: Springer Nature
ISBN: 9811528101
Category : Computers
Languages : en
Pages : 720
Book Description
This book constitutes the refereed proceedings of the 6th International Conference on Data Science, ICDS 2019, held in Ningbo, China, during May 2019. The 64 revised full papers presented were carefully reviewed and selected from 210 submissions. The research papers cover the areas of Advancement of Data Science and Smart City Applications, Theory of Data Science, Data Science of People and Health, Web of Data, Data Science of Trust and Internet of Things.
Risk Assessment and Financial Regulation in Emerging Markets' Banking
Author: Alexander M. Karminsky
Publisher: Springer Nature
ISBN: 3030697487
Category : Business & Economics
Languages : en
Pages : 395
Book Description
This book describes various approaches in modelling financial risks and compiling ratings. Focusing on emerging markets, it illustrates how risk assessment is performed and analyses the use of machine learning methods for financial risk assessment and measurement. It not only offers readers insights into the differences between emerging and developed markets, but also helps them understand the development of risk management approaches for banks. Highlighting current problems connected with the evaluation and modelling of financial risks in the banking sector of emerging markets, the book presents the methodologies applied to credit and market financial risks and integrated and payment risks, and discusses the outcomes. In addition it explores the systemic risks and innovations in banking and risk management by analyzing the features of risk measurement in emerging countries. Lastly, it demonstrates the aggregation of approaches to financial risk for emerging financial markets, comparing the experiences of various countries, including Russia, Belarus, China and Brazil.
Publisher: Springer Nature
ISBN: 3030697487
Category : Business & Economics
Languages : en
Pages : 395
Book Description
This book describes various approaches in modelling financial risks and compiling ratings. Focusing on emerging markets, it illustrates how risk assessment is performed and analyses the use of machine learning methods for financial risk assessment and measurement. It not only offers readers insights into the differences between emerging and developed markets, but also helps them understand the development of risk management approaches for banks. Highlighting current problems connected with the evaluation and modelling of financial risks in the banking sector of emerging markets, the book presents the methodologies applied to credit and market financial risks and integrated and payment risks, and discusses the outcomes. In addition it explores the systemic risks and innovations in banking and risk management by analyzing the features of risk measurement in emerging countries. Lastly, it demonstrates the aggregation of approaches to financial risk for emerging financial markets, comparing the experiences of various countries, including Russia, Belarus, China and Brazil.
Analyzing Banking Risk
Author: Hennie van Greuning
Publisher: World Bank Publications
ISBN: 0821378988
Category : Business & Economics
Languages : en
Pages : 442
Book Description
This book provides a comprehensive overview of topics focusing on assessment, analysis, and management of financial risks in banking. The publication emphasizes risk-management principles and stresses that key players in the corporate governance process are accountable for managing the different dimensions of financial risk. This third edition remains faithful to the objectives of the original publication. A significant new edition is the inclusion of chapters on the management of the treasury function. Advances made by the Basel Committee on Banking Supervision are reflected in the chapters on capital adequacy, transparency, and banking supervision. This publication should be of interest to a wide body of users of bank financial data. The target audience includes persons responsible for the analysis of banks and for the senior management or organizations directing their efforts.
Publisher: World Bank Publications
ISBN: 0821378988
Category : Business & Economics
Languages : en
Pages : 442
Book Description
This book provides a comprehensive overview of topics focusing on assessment, analysis, and management of financial risks in banking. The publication emphasizes risk-management principles and stresses that key players in the corporate governance process are accountable for managing the different dimensions of financial risk. This third edition remains faithful to the objectives of the original publication. A significant new edition is the inclusion of chapters on the management of the treasury function. Advances made by the Basel Committee on Banking Supervision are reflected in the chapters on capital adequacy, transparency, and banking supervision. This publication should be of interest to a wide body of users of bank financial data. The target audience includes persons responsible for the analysis of banks and for the senior management or organizations directing their efforts.