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The subprime crisis has shown that the sophisticated risk management models used by banks and insurance companies had serious flaws. Some people even suggest that these models are completely useless. Others claim that the crisis was just an unpredictable accident that was largely amplified by the lack of expertise and even naivety of many investors. This book takes the middle view. It shows that these models have been designed for "tranquil times", when financial markets behave smoothly and efficiently. However, we are living in more and more "turbulent times": large risks materialize much more often than predicted by "normal" models, financial models periodically go through bubbles and crashes. Moreover, financial risks result from the decisions of economic actors who can have incentives to take excessive risks, especially when their remunerations are ill designed. The book provides a clear account of the fundamental hypotheses underlying the most popular models of risk management and show that these hypotheses are flawed. However it shows that simple models can still be useful, provided they are well understood and used with caution.
This book investigates the failure of conventional financial risk management models during periods of market volatility and proposes a framework for their cautious application. Gilles Beneplanc and Jean-Charles Rochet, both experts in financial economics and risk analysis, examine why sophisticated models failed during the subprime crisis. They argue that while these models are built on assumptions of market efficiency and stability, they remain useful tools if practitioners acknowledge their limitations and the behavioral incentives that drive excessive risk-taking.
What You Will Find
Experts and financial professionals view this text as a balanced critique of modern quantitative finance. Readers frequently note the clarity with which the authors bridge the gap between complex theoretical models and the practical realities of market instability.
Page Count:
213
Publication Date:
2011-01-01
Publisher:
Oxford University Press
ISBN-10:
0199339929
ISBN-13:
9780199339921
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