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Financial Risk Management: Models, History, and Institutions

Financial Risk Management: Models, History, and Institutions

Name: Financial Risk Management: Models, History, and Institutions
Brand: John Wiley & Sons
SKU: 9780470481806
Price: 950.00 HKD
Availability: OutOfStock
Author: Allan M. Malz
ISBN: 9780470481806

By Allan M. Malz

John Wiley & Sons June 2011

Specifications

ISBN-13: 9780470481806
Publisher: John Wiley & Sons
Publication: June 2011
Format: Hardback , 754 pages
Jurisdiction: International or US ? Countri(es) for reference only

Details

An in-depth look at the tools and techniques professionals use to address financial risks

Risk and uncertainty, as Allan Malz explains in his ground-breaking new book, are two completely different concepts. Risk is a quantifiable uncertainty that can be modeled, while uncertainty defines non-quantifiable outcomes that are not always known. Part art and part science, the study of risk remains a relatively new discipline in finance and economics that continues to be refined. Financial crisis, rather than destroying the need for risk management, has given even great nuance and meaning to what risks exist and can be managed and controlled, and a taxonomy of new risks that need to be explored in ever more meaningful ways. This definitive guide on financial risk

Explores all the tools and techniques needed to cope with risk
Addresses state of the art approaches to modeling and managing risks
Investigates stress tests in periods of heightened uncertainty, and the impact that variables such as liquidity and correlations can have on risk mitigation
Provides practicing risk professionals with useful rules of thumb, intuitions, and insights gleaned from Malz's entire career as risk researcher, chief risk officer, and financial market regulator outside his classroom at Columbia University

Informative and engaging, this book will help you understand why risk has become its own essential discipline on Wall Street and beyond.

Preface.

1 Financial risk in a crisis-prone world.

1.1 Some history: why is risk a separate discipline today?

1.2 The scope of financial risk.

2 Market risk basics.

2.1 Arithmetic, geometric, and logarithmic security returns.

2.2 Risk and securities prices: the standard asset pricing model.

2.3 The standard asset distribution model.

2.4 Portfolio risk in the standard model.

2.5 Benchmark interest rates.

3 Value-at-Risk.

3.1 Definition of value-at-risk.

3.2 Volatility estimation.

3.3 Modes of computation.

3.4 Short positions.

3.5 Expected shortfall.

4 Nonlinear risks and the treatment of bonds and options.

4.1 Nonlinear risk measurement and options.

4.2 Yield curve risk.

4.3 Fixed-income VaR using duration and convexity.

5 Portfolio VaR for market risk.

5.1 The covariance and correlation matrices.

5.2 Mapping and treatment of bonds and options.

5.3 Delta-normal VaR.

5.4 Portfolio VaR viaMonte Carlo simulation.

5.5 Option vega risk.

6 Credit and counterparty risk.

6.1 Defining credit risk.

6.2 Credit risky securities.

6.3 Transaction cost problems in credit contracts.

6.4 Default and recovery: analytic concepts.

6.5 Assessing creditworthiness.

6.6 Counterparty risk.

6.7 TheMerton model.

6.8 Credit factor models.

6.9 Credit risk measures.

7 Spread risk and default intensity models.

7.1 Credit spreads.

7.2 Default curve analytics.

7.3 Risk-neutral estimates of default probabilities.

7.4 Spread risk.

8 Portfolio credit risk.

8.1 Default correlation.

8.2 Credit portfolio risk measurement.

8.3 Credit VaR with the single-factor model.

8.4 Using simulation and copulas to estimate portfolio credit risk.

9 Structured credit risk.

9.1 Structured credit basics.

9.2 Credit scenario analysis of a securitization.

9.3 Measuring structured credit risk via simulation.

9.4 Standard tranches and implied correlation.

9.5 Issuer and investor motivations for structured credit.

10 Alternatives to the standard market risk model.

10.1 Real-world asset price behavior.

10.2 Alternative modeling approaches.

10.3 The evidence on non-normality in derivatives prices.

11 Assessing the quality of risk measures.

11.1 Model risk.

11.2 Backtesting of VaR.

11.3 Coherence of VaR estimates.

12 Liquidity and leverage.

12.1 Funding liquidity risk.

12.2 Markets for collateral.

12.3 Leverage and forms of credit in contemporary finance.

12.4 Transactions liquidity risk.

12.5 Liquidity risk measurement.

12.6 Liquidity and systemic risk.

13 Risk control and mitigation.

13.1 Defining risk capital.

13.2 Risk contributions.

13.3 Stress testing.

13.4 Sizing positions.

13.5 Risk reporting.

13.6 Hedging and basis risk.

14 Financial crises.

14.1 Panics, runs, and crashes.

14.2 Self-reinforcing mechanisms.

14.3 Behavior of asset prices during crises.

14.4 Causes of financial crises.

14.5 Anticipating financial crises.

15 Financial regulation.

15.1 Scope and structure of regulation.

15.2 Methods of regulation.

15.3 Public policy toward financial crises.

15.4 Pitfalls in regulation.

A Technical notes.

A.1 Binomial distribution.

A.2 Quantiles and quantile transformations.

A.3 Normal and lognormal distributions.

A.4 Hypothesis testing.

A.5 Monte Carlo simulation.

A.6 Homogeneous functions.

B Notation.

C Abbreviations.

D References.

About the Author

ALLAN M. MALZ is a Senior Analytical Advisor in the Markets Group at the Federal Reserve Bank of New York, where he has also worked on implementation of the Fed's emergency liquidity programs to address the financial crisis. Before rejoining the Fed, he was chief risk officer at several multi-strategy hedge fund management firms. Previously, Malz was head of research at RiskMetrics Group, which he joined on its spinoff from J.P. Morgan. Malz spent his earlier career at the New York Fed as a researcher and foreign exchange trader. His research, which includes forecasting financial crises, risk measurement for options, and estimation of risk-neutral probability distributions, has been published in a number of industry and academic journals. Malz holds a PhD in economics from Columbia University, where he also teaches a graduate course in financial risk management.

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