Elements of Financial Risk Management Book

Elements of Financial Risk Management


  • Author : Peter Christoffersen
  • Publisher : Academic Press
  • Release Date : 2011-11-22
  • Genre: Business & Economics
  • Pages : 346
  • ISBN 10 : 9780123744487

DOWNLOAD BOOK
Elements of Financial Risk Management Excerpt :

The Second Edition of this best-selling book expands its advanced approach to financial risk models by covering market, credit, and integrated risk. With new data that cover the recent financial crisis, it combines Excel-based empirical exercises at the end of each chapter with online exercises so readers can use their own data. Its unified GARCH modeling approach, empirically sophisticated and relevant yet easy to implement, sets this book apart from others. Five new chapters and updated end-of-chapter questions and exercises, as well as Excel-solutions manual, support its step-by-step approach to choosing tools and solving problems. Examines market risk, credit risk, and operational risk Provides exceptional coverage of GARCH models Features online Excel-based empirical exercises

Elements of Financial Risk Management Book

Elements of Financial Risk Management


  • Author : Peter Christoffersen
  • Publisher : Academic Press
  • Release Date : 2011-11-10
  • Genre: Business & Economics
  • Pages : 344
  • ISBN 10 : 9780080922430

DOWNLOAD BOOK
Elements of Financial Risk Management Excerpt :

The Second Edition of this best-selling book expands its advanced approach to financial risk models by covering market, credit, and integrated risk. With new data that cover the recent financial crisis, it combines Excel-based empirical exercises at the end of each chapter with online exercises so readers can use their own data. Its unified GARCH modeling approach, empirically sophisticated and relevant yet easy to implement, sets this book apart from others. Five new chapters and updated end-of-chapter questions and exercises, as well as Excel-solutions manual, support its step-by-step approach to choosing tools and solving problems. Examines market risk, credit risk, and operational risk Provides exceptional coverage of GARCH models Features online Excel-based empirical exercises

Elements of Financial Risk Management Book

Elements of Financial Risk Management


  • Author : Peter Christoffersen
  • Publisher : Academic Press
  • Release Date : 2019-04-15
  • Genre: Business & Economics
  • Pages : 400
  • ISBN 10 : 0128150068

DOWNLOAD BOOK
Elements of Financial Risk Management Excerpt :

Elements of Financial Risk Management: A Buyside Perspective Using Excel and MATLAB, Third Edition focuses on the implementation of techniques that help students and practitioners bridge the gap between standard textbooks on risk and real-life risk management systems. Without a highly sophisticated quant background, readers can understand its detailed and comprehensive coverage of most market-risk related topics. More a financial econometrics book than a financial risk management book, it shows how to apply tools developed in financial econometrics to risk management. It differs from typical risk management books by digging more deeply in the assumptions and models behind risk calculations. Covers both new research streams (e.g., asymmetrical t distributions) and new areas of interest for practitioners, such as external stress testing Includes 4 new chapters, updates every existing chapter, and expands its pedagogical elements to include MATLAB exercises Enables students and practitioners to grasp most concepts and techniques with limited knowledge of basic statistics and financial mathematics

Handbook of Financial Risk Management Book

Handbook of Financial Risk Management


  • Author : Thierry Roncalli
  • Publisher : CRC Press
  • Release Date : 2020-04-23
  • Genre: Business & Economics
  • Pages : 987
  • ISBN 10 : 9781351385220

DOWNLOAD BOOK
Handbook of Financial Risk Management Excerpt :

Developed over 20 years of teaching academic courses, the Handbook of Financial Risk Management can be divided into two main parts: risk management in the financial sector; and a discussion of the mathematical and statistical tools used in risk management. This comprehensive text offers readers the chance to develop a sound understanding of financial products and the mathematical models that drive them, exploring in detail where the risks are and how to manage them. Key Features: Written by an author with both theoretical and applied experience Ideal resource for students pursuing a master’s degree in finance who want to learn risk management Comprehensive coverage of the key topics in financial risk management Contains 114 exercises, with solutions provided online at www.crcpress.com/9781138501874

Volatility and Correlation Book
Score: 4
From 1 Ratings

Volatility and Correlation


  • Author : Riccardo Rebonato
  • Publisher : John Wiley & Sons
  • Release Date : 2005-07-08
  • Genre: Business & Economics
  • Pages : 864
  • ISBN 10 : 9780470091401

DOWNLOAD BOOK
Volatility and Correlation Excerpt :

In Volatility and Correlation 2nd edition: The Perfect Hedger and the Fox, Rebonato looks at derivatives pricing from the angle of volatility and correlation. With both practical and theoretical applications, this is a thorough update of the highly successful Volatility & Correlation – with over 80% new or fully reworked material and is a must have both for practitioners and for students. The new and updated material includes a critical examination of the ‘perfect-replication’ approach to derivatives pricing, with special attention given to exotic options; a thorough analysis of the role of quadratic variation in derivatives pricing and hedging; a discussion of the informational efficiency of markets in commonly-used calibration and hedging practices. Treatment of new models including Variance Gamma, displaced diffusion, stochastic volatility for interest-rate smiles and equity/FX options. The book is split into four parts. Part I deals with a Black world without smiles, sets out the author’s ‘philosophical’ approach and covers deterministic volatility. Part II looks at smiles in equity and FX worlds. It begins with a review of relevant empirical information about smiles, and provides coverage of local-stochastic-volatility, general-stochastic-volatility, jump-diffusion and Variance-Gamma processes. Part II concludes with an important chapter that discusses if and to what extent one can dispense with an explicit specification of a model, and can directly prescribe the dynamics of the smile surface. Part III focusses on interest rates when the volatility is deterministic. Part IV extends this setting in order to account for smiles in a financially motivated and computationally tractable manner. In this final part the author deals with CEV processes, with diffusive stochastic volatility and with Markov-chain processes. Praise for the First Edition: “In this book, Dr Rebonato brings his penetrating eye to bear on option pricing and hedging.... The book is

Model Risk in Financial Markets Book

Model Risk in Financial Markets


  • Author : Radu Tunaru
  • Publisher : World Scientific
  • Release Date : 2015-06-08
  • Genre: Business & Economics
  • Pages : 384
  • ISBN 10 : 9789814663427

DOWNLOAD BOOK
Model Risk in Financial Markets Excerpt :

The financial systems in most developed countries today build up a large amount of model risk on a daily basis. However, this is not particularly visible as the financial risk management agenda is still dominated by the subprime-liquidity crisis, the sovereign crises, and other major political events. Losses caused by model risk are hard to identify and even when they are internally identified, as such, they are most likely to be classified as normal losses due to market evolution. Model Risk in Financial Markets: From Financial Engineering to Risk Management seeks to change the current perspective on model innovation, implementation and validation. This book presents a wide perspective on model risk related to financial markets, running the gamut from financial engineering to risk management, from financial mathematics to financial statistics. It combines theory and practice, both the classical and modern concepts being introduced for financial modelling. Quantitative finance is a relatively new area of research and much has been written on various directions of research and industry applications. In this book the reader gradually learns to develop a critical view on the fundamental theories and new models being proposed. Contents:IntroductionFundamental RelationshipsModel Risk in Interest Rate ModellingArbitrage TheoryDerivatives Pricing Under UncertaintyPortfolio Selection Under UncertaintyProbability Pitfalls of Financial CalculusModel Risk in Risk Measures CalculationsParameter Estimation RiskComputational ProblemsPortfolio Selection Using Sharpe RatioBayesian Calibration for Low Frequency DataMCMC Estimation of Credit Risk MeasuresLast But Not Least. Can We Avoid the Next Big Systemic Financial Crisis?Notations for the Study of MLE for CIR Process Readership: Graduate students, researchers, practitioners, senior managers in financial institutions and hedge-funds, regulators and risk managers, who are keen to understand the pitfalls of financial modelling, and

The Known  the Unknown  and the Unknowable in Financial Risk Management Book

The Known the Unknown and the Unknowable in Financial Risk Management


  • Author : Francis X. Diebold
  • Publisher : Princeton University Press
  • Release Date : 2010-05-09
  • Genre: Business & Economics
  • Pages : 392
  • ISBN 10 : 9780691128832

DOWNLOAD BOOK
The Known the Unknown and the Unknowable in Financial Risk Management Excerpt :

A clear understanding of what we know, don't know, and can't know should guide any reasonable approach to managing financial risk, yet the most widely used measure in finance today--Value at Risk, or VaR--reduces these risks to a single number, creating a false sense of security among risk managers, executives, and regulators. This book introduces a more realistic and holistic framework called KuU --the K nown, the u nknown, and the U nknowable--that enables one to conceptualize the different kinds of financial risks and design effective strategies for managing them. Bringing together contributions by leaders in finance and economics, this book pushes toward robustifying policies, portfolios, contracts, and organizations to a wide variety of KuU risks. Along the way, the strengths and limitations of "quantitative" risk management are revealed. In addition to the editors, the contributors are Ashok Bardhan, Dan Borge, Charles N. Bralver, Riccardo Colacito, Robert H. Edelstein, Robert F. Engle, Charles A. E. Goodhart, Clive W. J. Granger, Paul R. Kleindorfer, Donald L. Kohn, Howard Kunreuther, Andrew Kuritzkes, Robert H. Litzenberger, Benoit B. Mandelbrot, David M. Modest, Alex Muermann, Mark V. Pauly, Til Schuermann, Kenneth E. Scott, Nassim Nicholas Taleb, and Richard J. Zeckhauser. Introduces a new risk-management paradigm Features contributions by leaders in finance and economics Demonstrates how "killer risks" are often more economic than statistical, and crucially linked to incentives Shows how to invest and design policies amid financial uncertainty

Extreme Events in Finance Book
Score: 5
From 1 Ratings

Extreme Events in Finance


  • Author : Francois Longin
  • Publisher : John Wiley & Sons
  • Release Date : 2016-09-30
  • Genre: Business & Economics
  • Pages : 640
  • ISBN 10 : 9781118650202

DOWNLOAD BOOK
Extreme Events in Finance Excerpt :

A guide to the growing importance of extreme value risk theory, methods, and applications in the financial sector Presenting a uniquely accessible guide, Extreme Events in Finance: A Handbook of Extreme Value Theory and Its Applications features a combination of the theory, methods, and applications of extreme value theory (EVT) in finance and a practical understanding of market behavior including both ordinary and extraordinary conditions. Beginning with a fascinating history of EVTs and financial modeling, the handbook introduces the historical implications that resulted in the applications and then clearly examines the fundamental results of EVT in finance. After dealing with these theoretical results, the handbook focuses on the EVT methods critical for data analysis. Finally, the handbook features the practical applications and techniques and how these can be implemented in financial markets. Extreme Events in Finance: A Handbook of Extreme Value Theory and Its Applications includes: Over 40 contributions from international experts in the areas of finance, statistics, economics, business, insurance, and risk management Topical discussions on univariate and multivariate case extremes as well as regulation in financial markets Extensive references in order to provide readers with resources for further study Discussions on using R packages to compute the value of risk and related quantities The book is a valuable reference for practitioners in financial markets such as financial institutions, investment funds, and corporate treasuries, financial engineers, quantitative analysts, regulators, risk managers, large-scale consultancy groups, and insurers. Extreme Events in Finance: A Handbook of Extreme Value Theory and Its Applications is also a useful textbook for postgraduate courses on the methodology of EVTs in finance.

Handbook of the Economics of Finance Book

Handbook of the Economics of Finance


  • Author : George M. Constantinides
  • Publisher : Newnes
  • Release Date : 2013-02-08
  • Genre: Business & Economics
  • Pages : 872
  • ISBN 10 : 9780444594730

DOWNLOAD BOOK
Handbook of the Economics of Finance Excerpt :

The 12 articles in this second of two parts condense recent advances on investment vehicles, performance measurement and evaluation, and risk management into a coherent springboard for future research. Written by world leaders in asset pricing research, they present scholarship about the 2008 financial crisis in contexts that highlight both continuity and divergence in research. For those who seek authoritative perspectives and important details, this volume shows how the boundaries of asset pricing have expanded and at the same time have grown sharper and more inclusive. Offers analyses by top scholars of recent asset pricing scholarship Explains how the 2008 financial crises affected theoretical and empirical research Covers core and newly developing fields

Handbook of Financial Time Series Book

Handbook of Financial Time Series


  • Author : Torben Gustav Andersen
  • Publisher : Springer Science & Business Media
  • Release Date : 2009-04-21
  • Genre: Business & Economics
  • Pages : 1050
  • ISBN 10 : 9783540712978

DOWNLOAD BOOK
Handbook of Financial Time Series Excerpt :

The Handbook of Financial Time Series gives an up-to-date overview of the field and covers all relevant topics both from a statistical and an econometrical point of view. There are many fine contributions, and a preamble by Nobel Prize winner Robert F. Engle.

Validation of Risk Management Models for Financial Institutions Book

Validation of Risk Management Models for Financial Institutions


  • Author : David Lynch
  • Publisher : Cambridge University Press
  • Release Date : 2023-01-31
  • Genre: Business & Economics
  • Pages : 489
  • ISBN 10 : 9781108497350

DOWNLOAD BOOK
Validation of Risk Management Models for Financial Institutions Excerpt :

A comprehensive book on validation with coverage of all the risk management models.

Financial Risk Management in Banking Book

Financial Risk Management in Banking


  • Author : Shahsuzan Zakaria
  • Publisher : Routledge
  • Release Date : 2019-08-08
  • Genre: Business & Economics
  • Pages : 276
  • ISBN 10 : 9780429758652

DOWNLOAD BOOK
Financial Risk Management in Banking Excerpt :

As risk-taking is an essential part of the banking industry, banks must practise efficient risk management to ensure survival in uncertain financial climates. Banking operations are specifically affected by fluctuations in interest rates which cause financial imbalance; thus banks are now required to put in place an effective management structure that incorporates risk management efficiency measures that help mitigate the wide range of risks they face. In this book, the authors have developed a new modelling approach to determine banks’ financial risk management by offering detailed insights into the integrated approach of dollar-offset ratio and Data Envelopment Analysis (DEA), based on derivatives usage. It further analyses the efficiency measurement under stochastic DEA approaches, namely (i) Bootstrap DEA (BDEA), (ii) Sensitivity Analysis and (iii) Chance-Constrained DEA (CCDEA). As demonstrated in the modelling exercise, this integrated approach can be applied to other cases that require risk management efficiency measurement strategies. Additionally, this is the first book to comprehensively review the derivative markets of both the developed and developing countries in the Asia-Pacific region, by examining the differences of risk management efficiency of the banking institutions in these countries. Based on this measurement approach, strategies are provided for banks to improve their strategic risk management practices, as well as to reduce the impacts from external risks, such as changes in interest rates and exchange rates. Furthermore, this book will help banks to keep abreast of recent developments in the field of efficiency studies in management accounting, specifically in relation to hedge accounting, used by banks in the Asia-Pacific region.

The Known  the Unknown  and the Unknowable in Financial Risk Management Book

The Known the Unknown and the Unknowable in Financial Risk Management


  • Author : Francis X. Diebold
  • Publisher : Princeton University Press
  • Release Date : 2010-04-19
  • Genre: Business & Economics
  • Pages : 392
  • ISBN 10 : 9781400835287

DOWNLOAD BOOK
The Known the Unknown and the Unknowable in Financial Risk Management Excerpt :

A clear understanding of what we know, don't know, and can't know should guide any reasonable approach to managing financial risk, yet the most widely used measure in finance today--Value at Risk, or VaR--reduces these risks to a single number, creating a false sense of security among risk managers, executives, and regulators. This book introduces a more realistic and holistic framework called KuU --the K nown, the u nknown, and the U nknowable--that enables one to conceptualize the different kinds of financial risks and design effective strategies for managing them. Bringing together contributions by leaders in finance and economics, this book pushes toward robustifying policies, portfolios, contracts, and organizations to a wide variety of KuU risks. Along the way, the strengths and limitations of "quantitative" risk management are revealed. In addition to the editors, the contributors are Ashok Bardhan, Dan Borge, Charles N. Bralver, Riccardo Colacito, Robert H. Edelstein, Robert F. Engle, Charles A. E. Goodhart, Clive W. J. Granger, Paul R. Kleindorfer, Donald L. Kohn, Howard Kunreuther, Andrew Kuritzkes, Robert H. Litzenberger, Benoit B. Mandelbrot, David M. Modest, Alex Muermann, Mark V. Pauly, Til Schuermann, Kenneth E. Scott, Nassim Nicholas Taleb, and Richard J. Zeckhauser. Introduces a new risk-management paradigm Features contributions by leaders in finance and economics Demonstrates how "killer risks" are often more economic than statistical, and crucially linked to incentives Shows how to invest and design policies amid financial uncertainty

Financial Risk Management Book

Financial Risk Management


  • Author : Allan M. Malz
  • Publisher : John Wiley & Sons
  • Release Date : 2011-09-13
  • Genre: Business & Economics
  • Pages : 752
  • ISBN 10 : 9781118022917

DOWNLOAD BOOK
Financial Risk Management Excerpt :

Financial risk has become a focus of financial and nonfinancial firms, individuals, and policy makers. But the study of risk remains a relatively new discipline in finance and continues to be refined. The financial market crisis that began in 2007 has highlighted the challenges of managing financial risk. Now, in Financial Risk Management, author Allan Malz addresses the essential issues surrounding this discipline, sharing his extensive career experiences as a risk researcher, risk manager, and central banker. The book includes standard risk measurement models as well as alternative models that address options, structured credit risks, and the real-world complexities or risk modeling, and provides the institutional and historical background on financial innovation, liquidity, leverage, and financial crises that is crucial to practitioners and students of finance for understanding the world today. Financial Risk Management is equally suitable for firm risk managers, economists, and policy makers seeking grounding in the subject. This timely guide skillfully surveys the landscape of financial risk and the financial developments of recent decades that culminated in the crisis. The book provides a comprehensive overview of the different types of financial risk we face, as well as the techniques used to measure and manage them. Topics covered include: Market risk, from Value-at-Risk (VaR) to risk models for options Credit risk, from portfolio credit risk to structured credit products Model risk and validation Risk capital and stress testing Liquidity risk, leverage, systemic risk, and the forms they take Financial crises, historical and current, their causes and characteristics Financial regulation and its evolution in the wake of the global crisis And much more Combining the more model-oriented approach of risk management-as it has evolved over the past two decades-with an economist's approach to the same issues, Financial Risk Management is the essential guide to the

Financial Risk Forecasting Book

Financial Risk Forecasting


  • Author : Jon Danielsson
  • Publisher : John Wiley & Sons
  • Release Date : 2011-04-20
  • Genre: Business & Economics
  • Pages : 296
  • ISBN 10 : 9781119977117

DOWNLOAD BOOK
Financial Risk Forecasting Excerpt :

Financial Risk Forecasting is a complete introduction to practical quantitative risk management, with a focus on market risk. Derived from the authors teaching notes and years spent training practitioners in risk management techniques, it brings together the three key disciplines of finance, statistics and modeling (programming), to provide a thorough grounding in risk management techniques. Written by renowned risk expert Jon Danielsson, the book begins with an introduction to financial markets and market prices, volatility clusters, fat tails and nonlinear dependence. It then goes on to present volatility forecasting with both univatiate and multivatiate methods, discussing the various methods used by industry, with a special focus on the GARCH family of models. The evaluation of the quality of forecasts is discussed in detail. Next, the main concepts in risk and models to forecast risk are discussed, especially volatility, value-at-risk and expected shortfall. The focus is both on risk in basic assets such as stocks and foreign exchange, but also calculations of risk in bonds and options, with analytical methods such as delta-normal VaR and duration-normal VaR and Monte Carlo simulation. The book then moves on to the evaluation of risk models with methods like backtesting, followed by a discussion on stress testing. The book concludes by focussing on the forecasting of risk in very large and uncommon events with extreme value theory and considering the underlying assumptions behind almost every risk model in practical use – that risk is exogenous – and what happens when those assumptions are violated. Every method presented brings together theoretical discussion and derivation of key equations and a discussion of issues in practical implementation. Each method is implemented in both MATLAB and R, two of the most commonly used mathematical programming languages for risk forecasting with which the reader can implement the models illustrated in the book. The boo