Bubble Value-at-Risk Revised

Max C y Wong

ISBN 10: 111855034X / ISBN 13: 9781118550342

Editore: Wiley Apr 2013, 2013

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Neuware - Introduces a powerful new approach to financial risk modeling with proven strategies for its real-world applicationsThe 2008 credit crisis did much to debunk the much touted powers of Value at Risk (VaR) as a risk metric. Unlike most authors on VaR who focus on what it can do, in this book the author looks at what it cannot. In clear, accessible prose, finance practitioners, Max Wong, describes the VaR measure and what it was meant to do, then explores its various failures in the real world of crisis risk management. More importantly, he lays out a revolutionary new method of measuring risks, Bubble Value at Risk, that is countercyclical and offers a well-tested buffer against market crashes.\* Describes Bubble VaR, a more macro-prudential risk measure proven to avoid the limitations of VaR and by providing a more accurate risk exposure estimation over market cycles\* Makes a strong case that analysts and risk managers need to unlearn our existing 'science' of risk measurement and discover more robust approaches to calculating risk capital\* Illustrates every key concept or formula with an abundance of practical, numerical examples, most of them provided in interactive Excel spreadsheets\* Features numerous real-world applications, throughout, based on the author's firsthand experience as a veteran financial risk analyst.

Codice articolo 9781118550342

Dati bibliografici

• Titolo: Bubble Value-at-Risk Revised
• Editore: Wiley Apr 2013
• Data di pubblicazione: 2013
• Lingua: Inglese
• ISBN 10: 111855034X
• ISBN 13: 9781118550342
• Rilegatura: Buch
• Condizione: Neu
• Dimensioni: 235 L x 157 A x 24 P (millimetri) 235 millimetri di larghezza per 157 millimetri di altezza per 24 millimetri di profondità
• Peso: 688 grammi

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Riassunto

Introduces a powerful new approach to financial risk modeling with proven strategies for its real-world applications

The 2008 credit crisis did much to debunk the much touted powers of Value at Risk (VaR) as a risk metric. Unlike most authors on VaR who focus on what it can do, in this book the author looks at what it cannot. In clear, accessible prose, finance practitioners, Max Wong, describes the VaR measure and what it was meant to do, then explores its various failures in the real world of crisis risk management. More importantly, he lays out a revolutionary new method of measuring risks, Bubble Value at Risk, that is countercyclical and offers a well-tested buffer against market crashes.

• Describes Bubble VaR, a more macro-prudential risk measure proven to avoid the limitations of VaR and by providing a more accurate risk exposure estimation over market cycles
• Makes a strong case that analysts and risk managers need to unlearn our existing "science" of risk measurement and discover more robust approaches to calculating risk capital
• Illustrates every key concept or formula with an abundance of practical, numerical examples, most of them provided in interactive Excel spreadsheets
• Features numerous real-world applications, throughout, based on the author’s firsthand experience as a veteran financial risk analyst

Informazioni sull?autore

Max C.Y. Wong is a specialist in the area of risk modeling and Basel III. He started his career as a derivatives consultant at Credit Suisse First Boston in 1996. During the Asian crisis in 1998 he traded index futures at the open-outcry floor of SIMEX (now SGX). From 2003 to 2011, he worked for Standard Chartered Bank as a risk manager and senior quant. He is currently head of VaR model testing at the Royal Bank of Scotland. He has published papers on VaR models and Basel capital, recently looking at innovative ways to model risk more effectively during crises and to deal with the issues of procyclicality and Black Swan event in our financial system. He has spoken on the subject at various conferences and seminars. He holds a B.Sc. Physics from University of Malaya (1994) and a M.Sc. financial engineering from National University of Singapore (2004). He is an adjunct at Singapore Management University, a member of the editorial board of the Journal of Risk Management in Financial Institutions, and a member of the steering committee of PRMIA Singapore chapter.