Danielsson Jon (London School Of Business)
Danielsson Jon (London School Of Business) - Financial Risk Forecasting The Theory And Practice Of Forecasting Market Risk With Implementation In R And Matlab - Hardcover
Danielsson Jon (London School Of Business) - Financial Risk Forecasting The Theory And Practice Of Forecasting Market Risk With Implementation In R And Matlab - Hardcover
Books
Regular price
$82.32 USD
Regular price
Sale price
$82.32 USD
Unit price
per
Shipping calculated at checkout.
Couldn't load pickup availability
Binding: Hardcover
Description: 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 Va R and duration - normal Va R 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 book includes four appendices. The first introduces basic concepts in statistics and financial time series referred to throughout the book. The second and third introduce R and Matlab providing a discussion of the basic implementation of the software packages. And the final looks at the concept of maximum likelihood especially issues in implementation and testing. The book is accompanied by a website - www. financialriskforecasting. com which features downloadable code as used in the book.
Title: Financial Risk Forecasting The Theory And Practice Of Forecasting Market Risk With Implementation In R And Matlab
Author(s): Danielsson Jon (London School Of Business)
Publisher: John Wiley & Sons Inc
Barcode: 9780470669433
Pages: 304 Pages
Publication Date: 4/25/2011
Series: The Wiley Finance Series
Category: Finance
Description: 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 Va R and duration - normal Va R 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 book includes four appendices. The first introduces basic concepts in statistics and financial time series referred to throughout the book. The second and third introduce R and Matlab providing a discussion of the basic implementation of the software packages. And the final looks at the concept of maximum likelihood especially issues in implementation and testing. The book is accompanied by a website - www. financialriskforecasting. com which features downloadable code as used in the book.
Title: Financial Risk Forecasting The Theory And Practice Of Forecasting Market Risk With Implementation In R And Matlab
Author(s): Danielsson Jon (London School Of Business)
Publisher: John Wiley & Sons Inc
Barcode: 9780470669433
Pages: 304 Pages
Publication Date: 4/25/2011
Series: The Wiley Finance Series
Category: Finance
