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UID:

almafu_9959328566002883

Format: 1 online resource (xxiii, 722 pages) : , illustrations

ISBN: 9781119198475 , 111919847X , 9781118022894 , 1118022890 , 9781118022917 , 1118022912 , 128327292X , 9781283272926

Series Statement: Wiley finance series

Content: "An in-depth look at the tools and techniques professionals use to address financial risksRisk 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"--

Note: Financial RiskManagement; Contents; List of Figures; Preface; CHAPTER 1 Financial Risk in a Crisis-Prone World; 1.1 Some History: Why Is Risk a Separate Discipline Today?; 1.1.1 The Financial Industry Since the 1960s; 1.1.2 The "Shadow Banking System"; 1.1.3 Changes in Public Policy Toward the Financial System; 1.1.4 The Rise of Large Capital Pools; 1.1.5 Macroeconomic Developments Since the 1960s: From the Unraveling of Bretton Woods to the Great Moderation; 1.2 The Scope of Financial Risk; 1.2.1 Risk Management in Other Fields; Further Reading; CHAPTER 2 Market Risk Basics. , 2.1 Arithmetic, Geometric, and Logarithmic Security Returns2.2 Risk and Securities Prices: The Standard Asset Pricing Model; 2.2.1 Defining Risk: States, Security Payoffs, and Preferences; 2.2.2 Optimal Portfolio Selection; 2.2.3 Equilibrium Asset Prices and Returns; 2.2.4 Risk-Neutral Probabilities; 2.3 The Standard Asset Distribution Model; 2.3.1 Random Walks and Wiener Processes; 2.3.2 Geometric Brownian Motion; 2.3.3 Asset Return Volatility; 2.4 Portfolio Risk in the Standard Model; 2.4.1 Beta and Market Risk; 2.4.2 Diversification; 2.4.3 Efficiency; 2.5 Benchmark Interest Rates. , Further ReadingCHAPTER 3 Value-at-Risk; 3.1 Definition of Value-at-Risk; 3.1.1 The User-Defined Parameters; 3.1.2 Steps in Computing VaR; 3.2 Volatility Estimation; 3.2.1 Short-Term Conditional Volatility Estimation; 3.2.2 The EWMA Model; 3.2.3 The GARCH Model; 3.3 Modes of Computation; 3.3.1 Parametric; 3.3.2 Monte Carlo Simulation; 3.3.3 Historical Simulation; 3.4 Short Positions; 3.5 Expected Shortfall; Further Reading; CHAPTER 4 Nonlinear Risks and the Treatment of Bonds and Options; 4.1 Nonlinear Risk Measurement and Options; 4.1.1 Nonlinearity and VaR. , 4.1.2 Simulation for Nonlinear Exposures4.1.3 Delta-Gamma for Options; 4.1.4 The Delta-Gamma Approach for General Exposures; 4.2 Yield Curve Risk; 4.2.1 The Term Structure of Interest Rates; 4.2.2 Estimating Yield Curves; 4.2.3 Coupon Bonds; 4.3 VaR for Default-Free Fixed Income Securities Using The Duration and Convexity Mapping; 4.3.1 Duration; 4.3.2 Interest-Rate Volatility and Bond Price Volatility; 4.3.3 Duration-Only VaR; 4.3.4 Convexity; 4.3.5 VaR Using Duration and Convexity; Further Reading; CHAPTER 5 Portfolio VaR for Market Risk; 5.1 The Covariance and Correlation Matrices. , 5.2 Mapping and Treatment of Bonds and Options5.3 Delta-Normal VaR; 5.3.1 The Delta-Normal Approach for a Single Position Exposed to a Single Risk Factor; 5.3.2 The Delta-Normal Approach for a Single Position Exposed to Several Risk Factors; 5.3.3 The Delta-Normal Approach for a Portfolio of Securities; 5.4 Portfolio VAR via Monte Carlo simulation; 5.5 Option Vega Risk; 5.5.1 Vega Risk and the Black-Scholes Anomalies; 5.5.2 The Option Implied Volatility Surface; 5.5.3 Measuring Vega Risk; Further Reading; CHAPTER 6 Credit and Counterparty Risk; 6.1 Defining Credit Risk.

Language: English

Keywords: Electronic books. ; Electronic books. ; Electronic books. ; Electronic books. ; Electronic books. ; Electronic books.

URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9781119198475

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