Tsay (econometrics and statistics, U. of Chicago) offers students an introduction to analyzing financial data using methods that are simpler than those he describes in Analysis of Financial
Time Series. All the analysis is in the R programming language, he says, because it is free and widely available, and easy to adapt once the fundamentals are known. He covers financial data and
their properties, linear models for financial time series, case studies of linear time series, asset volatility and volatility models, applications of volatility models, high frequency
financial data, and value at risk. Annotation ©2012 Book News, Inc., Portland, OR (booknews.com)