
Handbook of Financial Risk Management : Simulations and Case Studies.
Title:
Handbook of Financial Risk Management : Simulations and Case Studies.
Author:
Chan, Ngai Hang.
ISBN:
9781118573501
Personal Author:
Edition:
1st ed.
Physical Description:
1 online resource (432 pages)
Series:
Wiley Handbooks in Financial Engineering and Econometrics ; v.10
Wiley Handbooks in Financial Engineering and Econometrics
Contents:
Handbook of Financial Risk Management -- Contents -- Preface -- 1 An Introduction to Excel VBA -- 1.1 How to Start Excel VBA -- 1.1.1 Introduction -- 1.1.2 Visual Basic Editor -- 1.1.3 The Macro Recorder -- 1.1.4 Insert a Command Button -- 1.2 VBA Programming Fundamentals -- 1.2.1 Declaration of Variables -- 1.2.2 Types of Variables -- 1.2.3 Multivariable Declaration -- 1.2.4 Declaration of Constants -- 1.2.5 Operators -- 1.2.6 User-Defined Data Types -- 1.2.7 Arrays and Matrices -- 1.2.8 Data Input and Output -- 1.2.9 Conditional Statements -- 1.2.10 Loops -- 1.3 Linking VBA to C++ -- 1.4 Sub Procedures and Function Procedures -- 1.4.1 VBA Built-In Functions -- 1.4.2 Multiple Linear Regression -- 1.5 Random Number Generation -- 1.5.1 Inverse Transform -- 1.5.2 Acceptance-Rejection Method -- 1.6 List of Functions Defined in the Book -- 1.6.1 Constants -- 1.6.2 Types -- 1.6.3 General Functions -- 1.6.4 Asset Path Simulation Functions -- 1.6.5 Other Functions -- 1.6.6 Remarks -- 2 Background -- 2.1 A Brief Review of Martingales and Itöo's Calculus -- 2.1.1 Martingales -- 2.1.2 Brownian Motion -- 2.1.3 Itöo's Process and Itöo's Lemma -- 2.1.4 Discretization Methods -- 2.1.5 The Black-Scholes Equation and Risk-Neutral Valuation -- 2.1.6 Change of Measures -- 2.2 Volatility -- 2.3 Mark to Market and Calibration -- 2.3.1 Marking to Market -- 2.3.2 Calculation of MTM Values -- 2.3.3 Calibration -- 2.4 Variance Reduction Techniques -- 2.4.1 A Brief Review of Variance Reduction Techniques -- 2.4.2 Pricing a Call Option -- 3 Structured Products -- 3.1 When Is Simulation Unnecessary? -- 3.1.1 Portfolio Replication Pricing -- 3.1.2 Equity-Linked Notes -- 3.2 Simulation of Black-Scholes Model and European Options -- 3.3 American Options -- 3.3.1 Empirical Martingale Correction -- 3.4 Range Accrual Notes -- 3.4.1 Possible Design and Sample Term Sheet.
3.4.2 Closed-Form Solution for European RAN Under Black-Scholes Model -- 3.4.3 Callable and American Features -- 3.5 FX Accumulator: The Case of Citic Pacific LTD -- 3.5.1 Event Playback -- 3.5.2 Structure of an Accumulator -- 3.5.3 Accumulator Valuation -- 3.5.4 Sensitivity Analysis -- 3.6 Life Insurance Contracts -- 3.6.1 Introduction -- 3.6.2 Typical Contract Structures -- 3.6.3 Simulation Algorithms -- 3.7 Multi-Asset Instruments -- 3.7.1 Multi-Asset Range Accrual Equity-Linked Notes -- 3.7.2 Currency-Translated Products -- 4 Volatility Modeling -- 4.1 Local Volatility Models: Simulation and Binomial Tree -- 4.1.1 Calibration of Local Volatility Function and Dupire Equation -- 4.1.2 Implied Binomial Tree -- 4.2 The Heston Stochastic Volatility Model -- 4.2.1 The Heston Model and Option Pricing -- 4.2.2 Model Calibration and Implementation -- 4.2.3 Calibration to European Options: Differential Evolution -- 4.3 Simulation of Exotic Option Prices under Heston Model -- 4.3.1 Heston Stochastic Volatility Model Simulation Methods: Quadratic-Exponential Discretization Scheme -- 4.3.2 QE Discretization Scheme for V(t) -- 4.3.3 QE Discretization Scheme for S(t) -- 4.3.4 Performance Analysis of the QE Scheme -- 4.3.5 CITIC Case Study Revisited -- 4.4 The GARCH Option Pricing Model -- 4.4.1 Estimation of Model Parameters -- 4.4.2 Identification of the Risk-Neutral Process -- 4.4.3 Pricing Exotics -- 4.5 Jump-Diffusion Model -- 4.5.1 Simulation of Asset Price Paths and Product Valuation -- 4.5.2 Estimation of Jump-Diffusion -- 5 Fixed-Income Derivatives I: Short-Rate Models -- 5.1 Yield Curve Building -- 5.1.1 Building the Forward Rate Curve -- 5.2 The Hull-White Model -- 5.2.1 Calibration of the Hull-White Model -- 5.3 Pricing Interest Rate Products Using the Direction Simulation Approach -- 5.3.1 Target Redemption Notes.
5.3.2 Interest Rate Range Accrual Notes -- 5.4 Pricing Interest Rate Products Using the Trinomial Tree Approach -- 5.4.1 Bond Price -- 5.4.2 Generalized Hull-White Model: The Tree Approach -- 5.4.3 Simulation Using the Trinomial Tree -- 5.4.4 Pricing Target Redemption Notes -- 5.4.5 Pricing Interest Rate Range Accrual Notes -- 6 Fixed-Income Derivatives II: LIBOR Market Models -- 6.1 LIBOR Market Models -- 6.1.1 Pricing Formula for Caplets/Caps -- 6.1.2 Swaption Formula -- 6.2 Calibration to Caps and Swaptions -- 6.3 Simulation Across Different Forward Measures -- 6.4 Bermudan Swaptions in a Three-Factor Model -- 6.5 Epilogue -- 7 Credit Derivatives and Counterparty Credit Risk -- 7.1 Structural Models of Credit Risk -- 7.1.1 The Merton Model -- 7.1.2 First Passage Time Model -- 7.2 The Vasicek Single-Factor Model -- 7.2.1 Credit Portfolio Management -- 7.2.2 Pricing Collateralized Debt Obligations -- 7.3 Copula Approach to Credit Derivative Pricing -- 7.3.1 Basic Concepts of Copulas -- 7.3.2 The Gaussian Copula and t-Copula -- 7.3.3 Modeling Joint Default Times with Copulas -- 7.3.4 Pricing Basket Default Swaps -- 7.4 Counterparty Credit Risk -- 7.4.1 Exposure in Trading Derivatives with a Counterparty -- 7.4.2 Counterparty-Level Exposure -- 7.4.3 Collateral Modeling for Margined Portfolios -- 7.4.4 Credit Value Adjustment -- 7.4.5 Independence of Probability of Default and Exposure -- 7.4.6 Modeling Right-Way and Wrong-Way Risks -- 8 Value-at-Risk and Related Risk Measures -- 8.1 Value-at-Risk -- 8.2 Parametric VaR -- 8.2.1 Two-Asset Case -- 8.2.2 Heavy-Tailed Distribution -- 8.2.3 Holding Period Adjustment -- 8.2.4 Portfolio VaR -- 8.3 Delta-Normal Approximation -- 8.3.1 Option VaR -- 8.3.2 Fixed-Income VaR -- 8.4 Delta-Gamma Approximation -- 8.4.1 Option VaR -- 8.4.2 Fixed-Income VaR -- 8.5 VaR Simulation Methods -- 8.5.1 Historical Simulation.
8.5.2 Advantages and Disadvantages -- 8.5.3 Monte Carlo Simulation -- 8.5.4 Gibbs Sampling and Multivariate Normal Distribution -- 8.5.5 Advantages and Disadvantages -- 8.6 VaR-Related Risk Measures -- 8.6.1 Conditional Value-at-Risk -- 8.6.2 CVaR Distribution -- 8.6.3 Marginal, Incremental, and Component VaRs -- 8.6.4 VaR and CVaR in Local Volatility Models -- 8.7 VaR Back-Testing -- 8.7.1 Back-Testing of VaR Models -- 9 The Greeks -- 9.1 Black-Scholes Greeks -- 9.2 Greeks in a Binomial Tree -- 9.3 Finite Difference Approximation -- 9.4 Likelihood Ratio Method -- 9.5 Pathwise Derivative Estimates -- 9.5.1 Application to European Options -- 9.5.2 Application to Multi-Asset Derivatives -- 9.5.3 Application to Interest Rate Derivatives in LIBOR Market Model -- 9.5.4 Problem with the Adjoint Method -- 9.6 Greek Calculation with Discontinuous Payoffs -- 9.6.1 Functional Approximation for Digital Options -- 9.6.2 Vibrato Method for Digital Options -- 9.6.3 Multivariate Generalization -- Appendix -- References -- Author Index -- Subject Index -- Wiley Handbooks in FINANCIAL ENGINEERING AND ECONOMETRICS.
Abstract:
An authoritative handbook on risk management techniques and simulations as applied to financial engineering topics, theories, and statistical methodologies The Handbook of Financial Risk Management: Simulations and Case Studies illustrates the practical implementation of simulation techniques in the banking and financial industries through the use of real-world applications. Striking a balance between theory and practice, the Handbook of Financial Risk Management: Simulations and Case Studies demonstrates how simulation algorithms can be used to solve practical problems and showcases how accuracy and efficiency in implementing various simulation methods are indispensable tools in risk management. The book provides the reader with an intuitive understanding of financial risk management and deepens insight into those financial products that cannot be priced traditionally. The Handbook of Financial Risk Management also features: Examples in each chapter derived from consulting projects, current research, and course instruction Topics such as volatility, fixed-income derivatives, LIBOR Market Models, and risk measures Over twenty-four recognized simulation models Commentary, data sets, and computer subroutines available on a chapter-by-chapter basis As a complete reference for practitioners, the book is useful in the fields of finance, business, applied statistics, econometrics, and engineering. The Handbook of Financial Risk Management is also an excellent text or supplement for graduate and MBA-level students in courses on financial risk management and simulation..
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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