Basic Statistics for Risk Management in Banks and Financial Institutions
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ISBN:
9780192849014
Publication date:
28/02/2022
Hardback
320 pages
Price: 1595.00 INR
We sell our titles through other companies
Disclaimer :You will be redirected to a third party website.The sole responsibility of supplies, condition of the product, availability of stock, date of delivery, mode of payment will be as promised by the said third party only. Prices and specifications may vary from the OUP India site.
ISBN:
9780192849014
Publication date:
28/02/2022
Hardback
320 pages
Arindam Bandyopadhyay
This book demonstrates how banks and financial institutions can apply many simple but effective statistical techniques to analyze risks they face in business and safeguard themselves from potential vulnerability.
Rights: World Rights
Arindam Bandyopadhyay
Description
The book provides an engaging account of theoretical, empirical, and practical aspects of various statistical methods in measuring risks of financial institutions, especially banks. In this book, the author demonstrates how banks can apply many simple but effective statistical techniques to analyze risks they face in business and safeguard themselves from potential vulnerability. It covers three primary areas of banking; risks-credit, market, and operational risk and in a uniquely intuitive, step-by-step manner the author provides hands-on details on the primary statistical tools that can be applied for financial risk measurement and management.
The book lucidly introduces concepts of various well-known statistical methods such as correlations, regression, matrix approach, probability and distribution theorem, hypothesis testing, value at risk, and Monte Carlo simulation techniques and provides a hands-on estimation and interpretation of these tests in measuring risks of the financial institutions. The book strikes a fine balance between concepts and mathematics to tell a rich story of thoughtful use of statistical methods.
About the author: Arindam Bandyopadhyay is Acting Director, Dean Education, Associate Dean (Training & Consultancy), Associate Professor (Finance), National Institute of Bank Management, Pune. He is also the Editor of the journal PRAJNAN. He has a PhD and an M.Phil from Jawaharlal Nehru University.
Arindam Bandyopadhyay
Table of contents
Chapter 1 Introduction to Risk Management: Basics of StatisticsChapter 2 Descriptive Statistics for Measurement of RiskChapter 3 Probability and Distribution Theorems and Their Applications in Risk ManagementChapter 4 Hypotheses Testing in Banking Risk AnalysisChapter 5 Matrix Algebra and Their Application in Risk Prediction and Risk MonitoringChapter 6 Correlation Theorem and Portfolio Management TechniquesChapter 7 Multivariate Analysis to Understand Functional Relationship and Scenario BuildingChapter 8 Monte Carlo Simulation Techniques and Value a Risk (VaR)Chapter 9 Statistical Tools for Model Validation and Back-testingChapter 10 Time Series Forecasting Techniques for Banking Variables
- Appendix: Statistical Tables
Arindam Bandyopadhyay
Arindam Bandyopadhyay
Description
The book provides an engaging account of theoretical, empirical, and practical aspects of various statistical methods in measuring risks of financial institutions, especially banks. In this book, the author demonstrates how banks can apply many simple but effective statistical techniques to analyze risks they face in business and safeguard themselves from potential vulnerability. It covers three primary areas of banking; risks-credit, market, and operational risk and in a uniquely intuitive, step-by-step manner the author provides hands-on details on the primary statistical tools that can be applied for financial risk measurement and management.
The book lucidly introduces concepts of various well-known statistical methods such as correlations, regression, matrix approach, probability and distribution theorem, hypothesis testing, value at risk, and Monte Carlo simulation techniques and provides a hands-on estimation and interpretation of these tests in measuring risks of the financial institutions. The book strikes a fine balance between concepts and mathematics to tell a rich story of thoughtful use of statistical methods.
About the author: Arindam Bandyopadhyay is Acting Director, Dean Education, Associate Dean (Training & Consultancy), Associate Professor (Finance), National Institute of Bank Management, Pune. He is also the Editor of the journal PRAJNAN. He has a PhD and an M.Phil from Jawaharlal Nehru University.
Read MoreTable of contents
Chapter 1 Introduction to Risk Management: Basics of StatisticsChapter 2 Descriptive Statistics for Measurement of RiskChapter 3 Probability and Distribution Theorems and Their Applications in Risk ManagementChapter 4 Hypotheses Testing in Banking Risk AnalysisChapter 5 Matrix Algebra and Their Application in Risk Prediction and Risk MonitoringChapter 6 Correlation Theorem and Portfolio Management TechniquesChapter 7 Multivariate Analysis to Understand Functional Relationship and Scenario BuildingChapter 8 Monte Carlo Simulation Techniques and Value a Risk (VaR)Chapter 9 Statistical Tools for Model Validation and Back-testingChapter 10 Time Series Forecasting Techniques for Banking Variables
- Appendix: Statistical Tables
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