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Basic Statistics for Risk Management in Banks and Financial Institutions

Author : Arindam Bandyopadhyay

Publisher : Oxford University Press

Page : 321 pages

File Size : 48,17 MB

Release : 2022-05-31

Category : Business & Economics

ISBN : 0192849018

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Book 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.



Operational Risk Management

Author : Ron S. Kenett

Publisher : John Wiley & Sons

Page : 339 pages

File Size : 38,14 MB

Release : 2011-06-20

Category : Business & Economics

ISBN : 1119956722

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Book Description

Models and methods for operational risks assessment and mitigation are gaining importance in financial institutions, healthcare organizations, industry, businesses and organisations in general. This book introduces modern Operational Risk Management and describes how various data sources of different types, both numeric and semantic sources such as text can be integrated and analyzed. The book also demonstrates how Operational Risk Management is synergetic to other risk management activities such as Financial Risk Management and Safety Management. Operational Risk Management: a practical approach to intelligent data analysis provides practical and tested methodologies for combining structured and unstructured, semantic-based data, and numeric data, in Operational Risk Management (OpR) data analysis. Key Features: The book is presented in four parts: 1) Introduction to OpR Management, 2) Data for OpR Management, 3) OpR Analytics and 4) OpR Applications and its Integration with other Disciplines. Explores integration of semantic, unstructured textual data, in Operational Risk Management. Provides novel techniques for combining qualitative and quantitative information to assess risks and design mitigation strategies. Presents a comprehensive treatment of "near-misses" data and incidents in Operational Risk Management. Looks at case studies in the financial and industrial sector. Discusses application of ontology engineering to model knowledge used in Operational Risk Management. Many real life examples are presented, mostly based on the MUSING project co-funded by the EU FP6 Information Society Technology Programme. It provides a unique multidisciplinary perspective on the important and evolving topic of Operational Risk Management. The book will be useful to operational risk practitioners, risk managers in banks, hospitals and industry looking for modern approaches to risk management that combine an analysis of structured and unstructured data. The book will also benefit academics interested in research in this field, looking for techniques developed in response to real world problems.



FDIC Statistics on Banking

Author :

Publisher :

Page : 554 pages

File Size : 46,55 MB

Release : 1993

Category : Banks and banking

ISBN :

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Book Description

A statistical profile of the United States banking industry.





Mathematics and Statistics for Financial Risk Management

Author : Michael B. Miller

Publisher : John Wiley & Sons

Page : 341 pages

File Size : 14,98 MB

Release : 2013-12-31

Category : Business & Economics

ISBN : 1118750292

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Book Description

Mathematics and Statistics for Financial Risk Management is a practical guide to modern financial risk management for both practitioners and academics. Now in its second edition with more topics, more sample problems and more real world examples, this popular guide to financial risk management introduces readers to practical quantitative techniques for analyzing and managing financial risk. In a concise and easy-to-read style, each chapter introduces a different topic in mathematics or statistics. As different techniques are introduced, sample problems and application sections demonstrate how these techniques can be applied to actual risk management problems. Exercises at the end of each chapter and the accompanying solutions at the end of the book allow readers to practice the techniques they are learning and monitor their progress. A companion Web site includes interactive Excel spreadsheet examples and templates. Mathematics and Statistics for Financial Risk Management is an indispensable reference for today’s financial risk professional.





Credit Risk Analytics

Author : Bart Baesens

Publisher : John Wiley & Sons

Page : 517 pages

File Size : 17,88 MB

Release : 2016-10-03

Category : Business & Economics

ISBN : 1119143985

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Book Description

The long-awaited, comprehensive guide to practical credit risk modeling Credit Risk Analytics provides a targeted training guide for risk managers looking to efficiently build or validate in-house models for credit risk management. Combining theory with practice, this book walks you through the fundamentals of credit risk management and shows you how to implement these concepts using the SAS credit risk management program, with helpful code provided. Coverage includes data analysis and preprocessing, credit scoring; PD and LGD estimation and forecasting, low default portfolios, correlation modeling and estimation, validation, implementation of prudential regulation, stress testing of existing modeling concepts, and more, to provide a one-stop tutorial and reference for credit risk analytics. The companion website offers examples of both real and simulated credit portfolio data to help you more easily implement the concepts discussed, and the expert author team provides practical insight on this real-world intersection of finance, statistics, and analytics. SAS is the preferred software for credit risk modeling due to its functionality and ability to process large amounts of data. This book shows you how to exploit the capabilities of this high-powered package to create clean, accurate credit risk management models. Understand the general concepts of credit risk management Validate and stress-test existing models Access working examples based on both real and simulated data Learn useful code for implementing and validating models in SAS Despite the high demand for in-house models, there is little comprehensive training available; practitioners are left to comb through piece-meal resources, executive training courses, and consultancies to cobble together the information they need. This book ends the search by providing a comprehensive, focused resource backed by expert guidance. Credit Risk Analytics is the reference every risk manager needs to streamline the modeling process.



Analyzing Banking Risk

Author : Hennie van Greuning

Publisher : World Bank Publications

Page : 442 pages

File Size : 33,71 MB

Release : 2009-03-31

Category : Business & Economics

ISBN : 0821378988

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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.



The Bank Credit Analysis Handbook

Author : Jonathan Golin

Publisher : John Wiley & Sons

Page : 748 pages

File Size : 21,37 MB

Release : 2013-03-18

Category : Business & Economics

ISBN : 0470829443

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Book Description

A hands-on guide to the theory and practice of bank credit analysis and ratings In this revised edition, Jonathan Golin and Philippe Delhaise expand on the role of bank credit analysts and the methodology of their practice. Offering investors and practitioners an insider's perspective on how rating agencies assign all-important credit ratings to banks, the book is updated to reflect today's environment of increased oversight and demands for greater transparency. It includes international case studies of bank credit analysis, suggestions and insights for understanding and complying with the Basel Accords, techniques for reviewing asset quality on both quantitative and qualitative bases, explores the restructuring of distressed banks, and much more. Features charts, graphs, and spreadsheet illustrations to further explain topics discussed in the text Includes international case studies from North America, Asia, and Europe that offer readers a global perspective Offers coverage of the Basel Accords on Capital Adequacy and Liquidity and shares the authors' view that a bank could be compliant under those and other regulations without being creditworthy A uniquely practical guide to bank credit analysis as it is currently practiced around the world, The Bank Credit Analysis Handbook, Second Edition is a must-have resource for equity analysts, credit analysts, and bankers, as well as wealth managers and investors.



The Risks of Financial Institutions

Author : Mark Carey

Publisher : University of Chicago Press

Page : 669 pages

File Size : 12,62 MB

Release : 2007-11-01

Category : Business & Economics

ISBN : 0226092984

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Book Description

Until about twenty years ago, the consensus view on the cause of financial-system distress was fairly simple: a run on one bank could easily turn to a panic involving runs on all banks, destroying some and disrupting the financial system. Since then, however, a series of events—such as emerging-market debt crises, bond-market meltdowns, and the Long-Term Capital Management episode—has forced a rethinking of the risks facing financial institutions and the tools available to measure and manage these risks. The Risks of Financial Institutions examines the various risks affecting financial institutions and explores a variety of methods to help institutions and regulators more accurately measure and forecast risk. The contributors--from academic institutions, regulatory organizations, and banking--bring a wide range of perspectives and experience to the issue. The result is a volume that points a way forward to greater financial stability and better risk management of financial institutions.