%{search_type} search results

1 catalog result

RSS feed for this result
xx, 354 p. : ill. ; 25 cm.
  • Linear 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.
  • (source: Nielsen Book Data)9780387778266 20160528
This book presents statistical methods and models of importance to quantitative finance and links finance theory to market practice via statistical modelling and decision making. Part I provides basic background in statistics, which includes linear regression and extensions to generalized linear models and nonlinear regression, multivariate analysis, likelihood inference and Bayesian methods, and time series analysis. It also describes applications of these methods to portfolio theory and dynamic models of asset returns and their volatilities.Part II presents advanced topics in quantitative finance and introduces a substantive-empirical modelling approach to address the discrepancy between finance theory and market data. It describes applications to option pricing, interest rate markets, statistical trading strategies, and risk management. Nonparametric regression, advanced multivariate and time series methods in financial econometrics, and statistical models for high-frequency transactions data are also introduced in this connection.The book has been developed as a textbook for courses on statistical modelling 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.
(source: Nielsen Book Data)9780387778266 20160528
dx.doi.org SpringerLink
Science Library (Li and Ma)