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Series: Springer Texts in Statistics
Lai, Tze Leung, Xing, Haipeng
2008, XX, 354 p. 74 illus., 4 in color.,
Hardcover ISBN: 978-0-387-77826-6
- Statistical methods and models are of importance to quantitative finance
- Exhibits links between finance theory, market practice and statistical modeling and decision making
- Uses concrete examples and data from financial markets to illustrate the statistical methods
The book has been developed as a textbook for courses on statistical modeling in quantitative finance in master's level financial mathematics (or engineering) and computational (or mathematical) finance programs. It is also designed for self-study by quantitative analysts in the financial industry who want to learn more about the background and details of the statistical methods used by the industry. It can also be used as a reference for graduate statistics and econometrics courses on regression, multivariate analysis, likelihood and Bayesian inference, nonparametrics, and time series, providing concrete examples and data from financial markets to illustrate the statistical methods.
Tze Leung Lai is Professor of Statistics and Director of Financial Mathematics at Stanford University. He received the Ph.D. degree in 1971 from Columbia University, where he remained on the faculty until moving to Stanford University in 1987. He received the Committee of Presidents of Statistical Societies Award in 1983 and is an elected member of Academia Sinica and the International Statistical Institute. His research interests include quantitative finance and risk management, sequential statistical methodology, stochastic optimization and adaptive control, probability theory and stochastic processes, econometrics, and biostatistics.
Haipeng Xing is Assistant Professor of Statistics at Columbia University. He received the Ph.D. degree in 2005 from Stanford University. His research interests include financial econometrics and engineering, time series modeling and adaptive control, fault detection, and change-point problems.
Written for » Research
Targeted Courses » Mathematical Finance
Keywords » investment theory - multivariate analysis - risk management - statistical finance - time series - trading strategies
Related subjects » Business, Economics & Finance - Quantitative Finance
Table of contentsLinear regression models.- Multivariate analysis and likelihood inference.- Basic investment models and their statistical analysis.- Parametric models and bayesian methods.- Time series modeling forecasting.- Dynamic models of asset return and their volatilities.- Nonparametric regression and substantive-empirical modeling.- Option pricing and market data.- Advanced multivariate and time series methods in financial econometrics.- Interest rate markets.- Statistical trading strategies.- Statistical methods in risk management.- Appendix A.- Appendix B.- Appendix C.- References.- Index.
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