Statistical Models and Methods for Financial Markets

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文件名称：Statistical Models and Methods for Financial Markets
文件大小：14.85MB
文件格式：PDF
更新时间：2017-09-04 05:06:20
金融、统计 This book presents statistical methods and models of importance to quantitative finance and links finance theory to market practice via statistical modeling 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 modeling 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 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 ">This book presents statistical methods and models of importance to quantitative finance and links finance theory to market practice via statistical modeling and decision making Part I provides basic background in statistics which includes linear regression and extensions to generalized linear mode [更多]