Springer, 2015. — 438 p.Quantitative models are omnipresent – but often controversially discussed – in todays risk management practice. New regulations, innovative ﬁnancial products, and advances in valuation techniques provide a continuous ﬂow of challenging problems for ﬁnancial engineers and risk managers alike. Designing a sound stochastic model requires ﬁnding a careful balance between parsimonious model assumptions, mathematical viability, and interpretability of the output. Moreover, data requirements and the end-user training are to be considered as well.The KPMG Center of Excellence in Risk Management conference Risk Management Reloaded and this proceedings volume contribute to bridging the gap between academia –providing methodological advances– and practice –having a ﬁrm understanding of the economic conditions in which a given model is used. Discussed ﬁelds of application range from asset management, credit risk, and energy to risk management issues in insurance. Methodologically, dependence modeling, multiple-curve interest rate-models, and model risk are addressed. Finally, regulatory developments and possible limits of mathematical modeling are discussed.
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Prmia Publications – 2005, 1301 pages
ISBN: 0976609703, 9780976609704
As its title implies, this book is the Handbook for the Professional Risk Manager. It is for those professionals who seek to demonstrate their skills in the field of financial risk management and for those looking simply for an excellent reference source. With contributions from nearly 40 leading authors,...
John Wiley & Sons, 2008. — 494 p. — (Market Risk Analysis, Vol. IV).
Value at Risk and Other Risk Metrics.
An Overview of Market Risk Assessment.
Risk Measurement in Banks.
Risk Measurement in Portfolio Management.
Risk Measurement in Large Corporations.
Downside and Quantile Risk Metrics.
Semi-Standard Deviation and Second Order Lower.
Wiley, 2012. — 220 p. — 2nd ed. — ISBN 9781119966975
Foundations of Risk Analysis presents the issues core to risk analysis – understanding what risk means, expressing risk, building risk models, addressing uncertainty, and applying probability models to real problems. The author provides the readers with the knowledge and basic thinking they require to successfully manage risk...
Springеr, 2010. — 1715 p.
Quantitative finance is a combination of economics, accounting, statistics, econometrics, mathematics, stochastic process, and computer science and technology. Increasingly, the tools of financial analysis are being applied to assess, monitor, and mitigate risk, especially in the context of globalization, market volatility, and economic crisis. This...
2nd edition. — Hoboken: Wiley, 2006. — 912 p.
More and more each year, the modern corporation must decide what risks to keep and what risks to shed to remain competitive and to maximize its value for the capital employed. Culp explains the theory and practice of risk transfer through either balance sheet mechanism such as structured finance, derivative transactions, or...
Wiley, 2009. — 360 p. — ISBN 978-0-470-41346-3.
"The recent global economic crisis has brought home the need for realistic operational risk management as an important element of an organization's survival strategy in turbulent times. In Risk Management in Finance Dr. Tarantino and his coauthors provide an operational risk framework for the twenty-first-century organization by...