1 / 34

Handbook of Quantitative Finance and Risk Management

Handbook of Quantitative Finance and Risk Management. Edited by Cheng-Few Lee Rutgers University Alice C. Lee San Francisco State University. This handbook expects to be published by Springer by January 2009. Please send all comments and suggestions to C.F. Lee at lee@rbsmail.rutgers.edu.

hedwig
Download Presentation

Handbook of Quantitative Finance and Risk Management

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Handbook of Quantitative Finance and Risk Management Edited by Cheng-Few Lee Rutgers University Alice C. Lee San Francisco State University This handbook expects to be published by Springer by January 2009. Please send all comments and suggestions to C.F. Lee at lee@rbsmail.rutgers.edu

  2. Table of Contents for Handbook of Quantitative Finance and Risk Management PREFACE List of Contributors Part I – Introduction Part II – Essays Chapter 1 Theoretical Framework of Finance 1) Classical Theory 2) New classical theory 3) CAPM and APT 4) Options and Futures Theory

  3. Table of Contents for Handbook of Quantitative Finance and Risk Management Part II – Essays Chapter 2 Policy Framework of Finance 1) Investment Policy 2) Financial Policy 3) Dividend Policy 4) Production Policy Chapter 3 Research Methods of Quantitative Finance and Risk Management 1) Statistics 2) Econometrics 3) Mathematics 4) Operation research 5) Stochastic process 6) Computer science and technology 7) Entropy 8) Fuzzy set Theory 9) Other Methods Chapter 4 Overview of Quantitative Finance and Risk Management Research

  4. Table of Contents for Handbook of Quantitative Finance and Risk Management Part III –Portfolio Analysis Chapter 1 Basic Concepts of Portfolio Analysis Chapter 2 Markowitz Portfolio-Selection Model Chapter 3 Capital Asset Pricing Model and Beta Forecasting Chapter 4 Index Model for Portfolio Selection Chapter 5 Performance-Measure Approaches for Selecting Optimum Portfolios Part IV – Options and Futures A. Basic Concepts and Strategies Chapter 1 Introduction Chapter 2 Options and Option Strategy 2.1 The Option Market and Related Definition 2.1 .1 What Is an Option? 2.1 .2 Types of Options and Their Characteristics 2.1 .3 Relationships Between the Option Price and the Underlying Asset Price 2.1 .4 Additional Definitions and Distinguishing Features 2.1 .5 Types of Underlying Asset 2.1 .6 Institutional Characteristics 2.2 Index and Futures Options

  5. Table of Contents for Handbook of Quantitative Finance and Risk Management 2.3 Put-Call Parity 2.3.1 European Options 2.3.2 American Options 2.3.3 Futures Options 2.3.4 Market Applications 2.4 Risk-Return Characteristics of Options 2.4.1 Long Call 2.4.2 Short Call 2.4.3 Long Put 2.4.4 Short Put 2.4.5 Long Straddle 2.4.6 Short Straddle 2.4.7 Long Vertical (Butt) Spread 2.4.8 Short Vertical (Butt) Spread 2.4.9 Calender (time) Spreads 2.5 Summary

  6. Table of Contents for Handbook of Quantitative Finance and Risk Management B. Statistical Analysis Approaches Chapter 3 Binomial Option Pricing Models 3.1 Introduction 3.2 Some Properties of the Binomial Distribution 3.3 Some Properties of the Normal Distribution 3.4 The Binomial Option Pricing of Cox, Ross and Rubinstein 3.4.1 Derivation of the Option Pricing Model 3.4.2 The Black and Scholes Model as a Limiting Case 3.5 The Binomial Option Pricing of Rendleman and Barter 3.5.1 Derivation of the Option Pricing Model 3.5.2 The Black and Scholes Model as a Limiting Case Chapter 4 Multinomial Option Pricing Model 4.1 Introduction 4.2 Multinomial Option Pricing Model 4.2.1 Derivation of the Option Pricing Model 4.2.2 The Black and Scholes Model as a Limiting Case 4.3 A Lattice Framework for Option Pricing 4.3.1 Modification of the Two State Approach for a Single State Variable 4.3.2 A Lattice Model for Valuation of Options on Two Underlying Assets

  7. Table of Contents for Handbook of Quantitative Finance and Risk Management Chapter 5 The Lognormal Option Pricing Model 5.1 Introduction 5.2 The Lognormal Distribution 5.2.1 Some Properties of the Lognormal Distribution 5.2.2 The Lognormal Distribution and Its Relationship to the Normal Distribution 5.2.3 Derivation of the Black and Scholes Option Pricing Model 5.3 Limitations of The Lognormal Option Pricing Model Chapter 6 Bivariate Normal Option Pricing Models 6.1 Introduction 6.2 European Options versus American Options 6.3 The Bivariate Normal Option Pricing Models 6.4 Examples

  8. Table of Contents for Handbook of Quantitative Finance and Risk Management C. Stochastic Calculus Approaches Chapter 7 Ito Calculus and The Black and Scholes Option Pricing Model 7.1 Introduction 7.2 Review of Stochastic Processes 7.3 Review of Ito Calculus 7.4 Ito Calculus Approach to The Black and Scholes Options Pricing Model 7.4.1 Derivation of the Black and Scholes Option Pricing Model 7.4.2 Limitations of the Black and Scholes Option Pricing Model Chapter 8 Constant Elasticity of Variance (CEV) Option Pricing Model 8.1 Introduction 8.2 Review of Noncentral x2 Distribution 8.3 Noncentral x2 Approach to Option Pricing Models 8.3.1 Derivation of the Probability Density Function under CEV 8.3.2 The Option Pricing Model under CEV

  9. Table of Contents for Handbook of Quantitative Finance and Risk Management Chapter 9 Stochastic Volatility Option Pricing Model 9.1 Introduction 9.2 Review of Characteristic Function 9.3 Nonclosed-Form type of Option Pricing Model 9.4 Closed-Form type of Option Pricing Model Chapter 10 A General Option Pricing Model 10.1 Introduction 10.2 The Jump Diffusion Model 10.3 Option Pricing Model with Random Variance and Interest Rate 10.4 Stochastic Volatility, Interest Rates, and Jumps Option Pricing Model

  10. Table of Contents for Handbook of Quantitative Finance and Risk Management D. Applications Chapter 11 Option Valuation and Hedging 11.1 Introduction 11.2 The Hedge Ratio 11.3 The Sensitivities of the Black-Scholes OPM to the Inputs 11.4 Option Elasticity and Beta 11.5 Estimating the Inputs 11.6 Extensions of the Black-Scholes OPM 11.7 Pricing Other Financial Securities Using Option Pricing Theory 11.8 Evaluating the Black-Scholes Option-Pricing Model 11.9 Estimating the Implied Standard Deviation with OLS Chapter 12 Foreign Exchange Option Pricing Models 12.1 Introduction 12.2 Derivation of Foreign Exchange Option Pricing Models 12.2.1 Option on Foreign Exchange 12.2.2 Options on Foreign Exchange Futures 12.3 Applications of Foreign Exchange Option Pricing Models

  11. Table of Contents for Handbook of Quantitative Finance and Risk Management Chapter 13 Index Option Pricing Models 13.1 Introduction 13.2 Derivation of Index Option Pricing Models 13.2.1 Option on Index 13.2.2 Option on Index Futures 13.3 Applications of Index Option Pricing Models Chapter 14 Real Options 14.1 Introduction 14.2 Traditional Approaches of Capital Budgeting Under Uncertainty 14.2.1 Statistical Distribution Approach 14.2.2 Decision Tree Approach 14.2.3 Certainty Equivalence Approach 14.3 Real Option Approach to Capital Budgeting Decisions 14.3.1 Venture Capital Investment Decision 14.3.2 New Product Investment Decision 14.4 Real Option Pricing Models 14.4.1 Univariate Normal Model 14.4.2 Bivariate Normal Model 14.4.3 Multivariate Normal Model Chapter 15 Option Pricing Model and Risk Management Chapter 16 Summary and Concluding Remarks

  12. Table of Contents for Handbook of Quantitative Finance and Risk Management Part V – Contributed Papers Chapter 1: The Creation and Control of Speculative Bubbles in a Laboratory Setting James S. Ang, Florida State University, USA Dean Diavatopoulous, Florida State University, USA Thomas V. Schwarz, Grand Valley State University, USA Chapter 2: Business Models: Applications to Capital Budgeting, Equity Value and Return Attribution Thomas S. Y. Ho Sang Bin Lee, Hanyang University, Korea Chapter 3: Risk and Valuation Under an Intertemporal Capital Asset Pricing Models Michael J. Brennan, Anderson School, USA Yihong Xia, Pennsylvania University, USA Chapter 4: Portfolio Optimization Models and Mean-Variance Spanning Tests Wei-Peng Chen, Shih Hsin University, Taiwan Huimin Chung, National Chiao Tung University, Taiwan Keng-Yu Ho, National Central University, Taiwan Tsui-Ling Hseu, National Chiao Tung University, Taiwan Chapter 5: A Further Analysis of Convergence Rate and Pattern of the Binomial Models San-Lin Chung, National Taiwan University, Taiwan Pai-Ta Shih, National Dong Hwa University, Taiwan

  13. Table of Contents for Handbook of Quantitative Finance and Risk Management Chapter 6: Combining Fundamental Measures for Stock Selection: Some Thoughts Kenton K. Yee, Columbia Business School, USA Chapter 7: Dividends vs. Reinvestments in Continuous Time: A More General Model Ren-Raw Chen, Rutgers University, USA Ben Logan Oded Palmon, Rutgers University, USA Larry Shepp, Rutgers University, USA Chapter 8: Time Series Modeling of Asset Returns Volatilities Tze Leung Lai, Stanford University, USA Haipeng Xing, Columbia University, USA Chapter 9: On Estimation Risk and Power Utility Portfolio Selection Robert R. Grauer, Simon Fraser University, USA Frederick C. Shen Chapter 10: Segmenting financial services market: An Empirical Study of Statistical and Non-parametric Methods Kenneth Lawrence, New Jersey Institute of Technology, USA Dinesh Pai, Rutgers University, USA Ronald Klimberg, St. Joseph’s University, USA Stephen Kudbya, New Jersey Institute of Technology, USA Sheila Lawrence, Rutgers University, USA

  14. Table of Contents for Handbook of Quantitative Finance and Risk Management Chapter 11: Recovering Probabilistic Information From Options Prices and the Underlying Bruce Mizrach, Rutgers University, USA Chapter 12: Combinatorial Methods for Reverse-Engineering and Construction of Credit Risk Ratings Alexander Kogan, Rutgers University, USA Miguel A. Lejeune, Carnegie Mellon University, USA Chapter 13: Displaced Log Normal and Lognormal American Option Pricing: A Comparison Ren-Raw Chen, Rutgers University, USA Cheng-Few Lee, Rutgers University, USA Chapter 14: Are Tails Fast Enough to Explain Smile Ren-Raw Chen, Rutgers University, USA Oded Palmon, Rutgers University, USA John Wald, Pennsylvania State University, USA Chapter 15: Two Alternative Approaches to Derive Black-Schools Option Pricing Model: Comparison and Analysis Cheng-Few Lee, Rutgers University, USA Carle Shu Ming Lin, Rutgers University, USA

  15. Table of Contents for Handbook of Quantitative Finance and Risk Management Chapter 16: Spurious Regression and Data Mining in Conditional Asset Pricing Models Wayne Ferson, University of Southern California, USA Sergei Sarkissian, McGill University, USA Timothy Simin, Pennsylvania State University, USA Chapter 17: Structural Approach for Credit Risk Modeling Jingzhi Huang, Pennsylvania State University, USA Chapter 18: An Empirical Investigation of the Rationales for Integrated Risk-Management Behavior Michael S. Pagano, Villanova University, USA Chapter 19: Implementing Risk Management Systems with a Benchmark: a Web-Based DSS Approach Larry Eisenberg, University of Southern Mississippi, USA Chang-tseh Hsieh, University of Southern Mississippi, USA Chapter 20: The Le Chatelier Principle in the Markowitz Quadratic Programming Investment Model: A Case of World Equity Fund Market Chin W. Yang, Clarion University of Pennsylvania, USA Ken Hung, National Dong Hwa University, Taiwan Jing Chui, Clarion University of Pennsylvania, USA

  16. Table of Contents for Handbook of Quantitative Finance and Risk Management Chapter 21: Copula, Correlated Defaults and Credit VaR Jow-Ran Chang, National Tsing Hua University, Taiwan An-Chi Chen, KGI Securities Co. Ltd., Taiwan Chapter 22: An Errors-in-variables Problem in Asset Pricing Tests Dongcheol Kim, Rutgers University, USA Chapter 23: Pricing and Hedging Interest Rate Derivatives In the Presence of Unspanned Stochastic Volatilities Feng Zhao, Rutgers University, USA Chapter 24: Liquidity Risk and Arbitrage Pricing Theory Umut Cetin, Technische University Wein, USA Robert A. Jarrow, Cornell University, USA Philip Protter, Cornell University, USA Chapter 25: Stock Returns, Extreme Values, and Conditional Skewed Distribution Thomas C. Chiang, Drexel University, USA Jiandong Li, Drexel University, USA

  17. Table of Contents for Handbook of Quantitative Finance and Risk Management Chapter 26: MCMC Estimation of Multiscale Stochastic Volatility Models German Molina, Vega Capital Services Ltd., UK Chuan-Hsiang Han, National Tsing Hua University, Taiwan Jean-Pierre Fouque, University of California, USA Chapter 27: Security Market Microstructure: The Analysis of a Non-Frictionless Market Robert Schwartz, Zicklin School of Business, USA Reto Francioni, Martin Reck Chapter 28: Robust prediction of default risk? Chung-Hua Shen, National Taiwan University, Taiwan Yi-Kai Chen,National University of Kaohsiung, Taiwan Bor-Yi Huang, Shih Chien University, Taiwan Chapter 29: Risk Management for Catastrophe Loss Jin-Ping Lee, Feng Chia University, Taiwan Min-Teh Yu, Providence University, Taiwan Chapter 30: Regime Shifts and the Term Structure of Interest Rates Chien-Chung Nieh, Tamkang University, Taiwan Shu Wu, The University of Kansas, USA Yong Zeng, The University of Missouri at Kansas City, USA

  18. Table of Contents for Handbook of Quantitative Finance and Risk Management Chapter 31: ARM Processes and Their Modeling and Forecasting Methodology Benjamin Melamed, Rutgers Business School, USA Chapter 32: Alternative Econometric Methods for Information-based Equity-selling Mechanisms Cheng Few Lee, Rutgers University, USA Yi Lin Wu, National Tsing Hua University, Taiwan Chapter 33: Implementation Problems and Solutions in Stochastic Volatility Models of the Heston Type Jia-Hau Guo, Soochow University, Taiwan Mao-Wei Hung, National Taiwan University, Taiwan Chapter 34: Univariate and Bivariate GARCH Analyses for the Volume versus GARCH effects Zhuo Qiao, National University of Singapore, Singapore Wing-Keung Wong, National University of Singapore, Singapore Chapter 35: Application of Fuzzy Set Theory to Finance Research: Method and Application Shin-Yun Wang, National Dong Hwa University, Taiwan Cheng-Few Lee, Rutgers University, USA

  19. Table of Contents for Handbook of Quantitative Finance and Risk Management Chapter 36: Hedonic Regression Analysis: A Primer Ben J. Sopranzetti, Rutgers University, USA Chapter 37: Risk-Adverse Portfolio Optimization via Stochastic Dominance Contraints Darinka Dentcheva, Stevens Institute of Technology, USA Andrzej Ruszczynski, Rutgers University, USA Chapter 38: A Real Option Approach to the Comprehensive Analysis of Bank Consolidation Values Chuang-Chang Chang, National Central University, Taiwan Pei-Fang Hsieh, National Central University, Taiwan Hung-Neng Lai, National Central University, Taiwan Chapter 39: Numerical Methods of PDE in Computational Finance Gang Nathan Dong, Rutgers University, USA Chapter 40: Capital Structure in Asia and CEO Entrenchment Kin Wai Lee, Nanyang Technological University, Singapore Gillian Hian Heng Yeo, Nanyang Technological University, Singapore

  20. Table of Contents for Handbook of Quantitative Finance and Risk Management Chapter 41: Estimating Future Hedge Ratio: A General Hyperbolic Distribution Approach Cheng-Few Lee, National Chiao Tung University, Taiwan Jang-Yi Lee, Tunghai University, Taiwan Kehluh Wang, National Chiao Tung University, Taiwan Yuan-Chung Sheu, National Chiao Tung University, Taiwan Chapter 42: The Sensitivity of Corporate Bond Volatility to Macroeconomic Announcements Nikolay Kosturov, University of Oklahoma, USA Duane Stock, University of Oklahoma, USA Chapter 43: Option Pricing and Hedging Performance under Stochastic Volatility and Stochastic Interest Rates Gurdip Bakshi, University of Maryland, USA Charles Cao, Penn State University, USA Zhiwu Chen, Yale University, USA Chapter 44: Itô’s Calculus and the Derivation of the Black-Scholes Option-Pricing Model George Chalamandaris, Athens University of Economics and Business, Greece A.G. Malliaris, Loyola University Chicago, USA Chapter 45: Portfolio Analysis Jack Clark Francis, Baruch College, USA

  21. Table of Contents for Handbook of Quantitative Finance and Risk Management Chapter 46: Equity Market Microstructure: The Analysis of a Non-Frictionless Market Reto Francioni, Deutsche Bank, USA Sonali Hazarika, Baruch College, USA Martin Reck, Deutsche Bank, USA Robert A. Schwartz, Baruch College, USA Chapter 47: Raw Material Convenience Yields and Business Cycle Chang-Wen Duan, Tamkang University, Taiwan William T. Lin,Tamkang University, Taiwan Chapter 48: Default and Prepayment Study in US Subprime Markets C.H. Ted Hong, Beyondbond, USA Chapter 49: The Valuation of Uncertain Income Streams and the Pricing of Options Mark Rubinstein, University of California Berkley, USA Chapter 50: A Primer on the Implicit Financing Assumptions of Traditional Capital Budgeting Approaches Ivan Brick, Rutgers University, USA Daniel Weaver, Rutgers University, USA

  22. Table of Contents for Handbook of Quantitative Finance and Risk Management Chapter 51: Portfolio Theory, CAPM, and Performance Measures Luis Ferruz, University of Zaragoza, Spain Chapter 52: The Effect of Default Risk on Equity Liquidity: Evidence Based on the Panel Threshold Model Huimin Chung, National Chiao Tung University , Taiwan Wei-Peng Chen, Shih-Hsin University , Taiwan Yu-Dan Chen, National Chiao Tung University , Taiwan Chapter 53: Derivation and application of Greek letters Cheng-Few Lee, Rutgers University, USA David Chen, Rutgers University, USA Weikang Shih, Rutgers University, USA Chapter 54: Put option approach to determine bank risk premium Dar-Yeh Huang, National Taiwan University, Taiwan Fu-Shuen Shie, National Taiwan University, Taiwan Wei-Hsiung Wu, National Taiwan University, Taiwan Chapter 55: Alternative Methods to Determine Optimal Capital Structure: Theory and Application Sheng-Syan Chen, National Taiwan University, Taiwan Cheng-Few Lee, National Chiao Tung University, Taiwan Han-Hsing Lee, National Chiao Tung University, Taiwan

  23. Table of Contents for Handbook of Quantitative Finance and Risk Management Chapter 56: Characteristic function and Finance Research Ying-Lin Hsu, National Chung Hsing University, Taiwan Cheng-Few Lee, Rutgers University, USA Chapter 57: Entropy and Its Application in Finance Research Hyley Huang, National Chiao Tung University and Wintek Corporation, Taiwan Cheng-Few Lee, Rutgers University, USA Chapter 58: Structure Equation Model in Finance and Accounting Research Chingfu Chang, National Chengchi University, Taiwan Cheng-Few Lee, Rutgers University, USA Chapter 59: Genetic Programming for Options Pricing Nemmara Chidambaran, Rutgers University, USA Chapter 60: Predicting Prices with Defense Forecasting Glenn Schafer, Rutgers University, USA Sam Ring, Rutgers University, USA

  24. Table of Contents for Handbook of Quantitative Finance and Risk Management Chapter 61: Hedging Theories and Applications Keshab Shrestha, Nanyang Technological University, Singapore Chapter 62: Intertemporal Equilibrium Models, Portfolio Theory and the Capital Asset Pricing Model Stephen J. Brown, New York University, USA Chapter 63: Issue of Corporate Finance Research Kose John, New York University, USA Chapter 64: Asian Options Itzhak Venezia, Hebrew University, USA Chapter 65: Keiretsu Style Main Bank Relationships, R&D Investment, Leverage, and Firm Value: Evidence from Japanese Listed Companies Hai-Chin Yu, Chung Yuan University, Taiwan Chih-Sean Chen, Chung Yuan University, Taiwan Der-Tzon Hsieh, National Taiwan University, Taiwan

  25. Table of Contents for Handbook of Quantitative Finance and Risk Management Chapter 66: Alternative Models for Estimating the Cost of Equity Capital for Property/Casualty Insurers Alice Lee, San Francisco State University, USA J.D. Cumming, Temple University, USA Chapter 67: An ODE Approach for the Expected Discounted Penalty at Ruin Cheng Few Lee, Rutgers University, USA Yu-Ting Chen, National Chao Tung University, Taiwan Yuan-Chung Sheu, National Chao Tung University, Taiwan Chapter 68: Functional Forms, Market Segmentation and Pricing of Closed-end Country Funds Cheng-Few Lee, Rutgers University, USA Dilip K. Patro, Federal Deposit Insurance Company, USA Bo Liu, Rutgers University, USA Alice C. Lee, San Francisco State University, USA Chapter 69: Actuarial mathematics and its applications in quantitative finance Cho-Jieh Chen, University of Alberta, Canada Chapter 70: Examining the Impact of US IT Stock Market on Other IT Stock Markets Zhuo Qiao, National University of Singapore, Singapore Venus Khim-Sen Liew, Universiti Malaysia Sabah, Malaysia Wing-Keung Wong, Hong Kong Baptist University, Hong Kong

  26. Table of Contents for Handbook of Quantitative Finance and Risk Management Chapter 71: Time-Series Econometrics and Dynamic Financial Models Robert H. Patrick, Rutgers University, USA Chaptere72 Framework of Structure Finance Francis Eng, Rutgers University, USA Chapter73 Persistence, Predictability and Portfolio Planning Michael J. Brennan, University of California at Los Angeles, USA Yihong Xia Wharton School, USA Chapter 74 Application of Alternative ODE in Finance and Economics Research Cheng Few Lee, Rutgers University, USA Junmin Shi, Rutgers University, USA Chapter 75 Term Structure and Risk Management ChunChi Wu, University of Missouri, USA Chapter 76 Issues in Operational Risk Modeling Mo Chaudhury, State Street Corporation, USA Satya Mohit, State Street Corporation, USA Chapter 77 Application of Simultaneous Equation in Finance Research Carl R. Chen, University of Dayton, USA Cheng Few Lee, Rutgers University, USA

  27. Table of Contents for Handbook of Quantitative Finance and Risk Management Chapter 78: Alternative Method for Credit Risk Management: Theory and Method Cheng Few Lee, Rutgers University, USA Bi-Huei Tsai, National Chiao Tung University, Taiwan Kehluh Wang, National Chiao Tung University, Taiwan Jessica Shin-Ying Mai, Rutgers University, USA Chapter 79 : Future Hedge Ratios: A Review Sheng-Syan Cheng, National Taiwan University, Taiwan Keshab Shrestha, Nanyang Technological University, Singapore Cheng Few Lee, Rutgers University, USA Chapter 80 : International Portfolio Management: Theory and Method Wan-Jiun Paul Chiou, Shippensburg University, USA Cheng Few Lee, Rutgers University, USA

  28. Table of Contents for Handbook of Quantitative Finance and Risk Management Part VI –Summary and Concluding Remarks A. Theory B. Methods C. Application a. New Products b. Trading Strategy c. Hedging Strategy d. Wealth Management e. Risk Management f. CDO and Subprime Markets g. Others

  29. Table of Contents for Handbook of Quantitative Finance and Risk Management Part VII – Appendixes A. Derivation of Dividend Discount Model B. Derivation of DOL, DFL, and DCL C. Derivation of M & M Propositions D. Derivation of CAPM E. Derivation of OPM Part VIII– References Part IX– Index Subject Index Author Index

  30. Table of Contents for Handbook of Quantitative Finance and Risk Management I. Introduction Quantitative finance is a combination of economics, accounting, statistics, econometrics, mathematics, stochastic process, and computer science and technology. This handbook will be the most comprehensive handbook in quantitative finance, which integrates theory, methodology, and application. Because of the importance of quantitative finance in the finance industry, it has become one of the most popular subjects in business school. In addition, the finance industry has many job opportunities for people with good training in quantitative finance. Thus, a handbook should have a broad audience and be of interest to academics, educators, students, and practitioners. Based upon our years of experience in teaching, research, textbook writing, and journal editing on the subject of quantitative finance, this handbook will review, discuss, and integrate theoretical, methodological and practical issues of quantitative finance. This handbook will be structured as follows:

  31. Table of Contents for Handbook of Quantitative Finance and Risk Management Part I. Introduction Part II. Essay Part III. Portfolio Analysis Part IV. Options and Futures Part V. Contributed Papers A. Theories B. Methodologies C. Applications Part VI –Summary and Concluding Remarks A. Theory B. Methods C. Application Part VII. Appendix Part VIII. References Part IX. Index A. Subject Index B. Author Index

  32. Table of Contents for Handbook of Quantitative Finance and Risk Management Part II of this handbook will cover in detail the essential financial theories, financial policies, and empirical methodologies used in quantitative finance. Finance theories can be classified into (1) classical theory, (2) new classical theory, (3) CAPM and APT, and (4) theory of option and futures. Financial policies can be classified into (1) investment policy, (2) financing policy, (3) dividend policy, and (4) production policy. The empirical methodologies that will be covered in part II are statistics, econometrics, mathematics, operation research, stochastic process, and computer science, and technology. Therefore, part II of this handbook will be structured as follows:

  33. Table of Contents for Handbook of Quantitative Finance and Risk Management • Theory • Classical theory • New classical theory • CAPM and APT • Theory of option and futures • Policy • Investment policy • Financing policy • Dividend policy • Production policy • Methodology • Statistics • Econometrics • Mathematics • Operation research • Stochastic process • Computer science and technology

  34. Table of Contents for Handbook of Quantitative Finance and Risk Management Most of part II will be written by Cheng Few Lee and Alice Lee. Some portion of part II will be written by other well-known scholars. Detailed derivation of theory and development of methodology will be presented in the appendix of this handbook. The Appendix of this handbook will give detailed derivation of different finance theory and model such as stock variation model M&M theory, portfolio theory, CAPM, APT, OPM, and future valuation model. Part III of this handbook covers portfolio analysis and Part IV of this handbook includes options and futures. Part V of this handbook includes contributed papers which will be written by well-know quantitative finance scholars and practitioners. The theoretical portion of these contributed papers will cover important finance theory, such as stock valuation theory, M&M theories, portfolio theories, CAPM, OPM, options, futures and other relevant theories in quantitative finance. The methodology portion of the contributed papers will cover methodologies of statistics, econometrics, mathematics, operation research, simulation and computer programming in quantitative finance research. The applications portion of the contributed papers will cover applications of options and futures theories in different financial instruments and products. Portfolio analysis and mutual fund evaluation will also be presented in this portion. In addition, market risk, credit risk and operation risk will be discussed in this portion in detail. Part VII will present Appendix. Part VIII will include important references in quantitative finance. Finally, both subject and author index will be presented in Part IX.

More Related