P1: IrP Trim: 6.875in × 9.75in Top: 0.5in Gutter: 0.75in
CUUS812-FM cuus812/Frees 978 0 521 76011 9 October 12, 2009 10:0
Regression Modeling with Actuarial
and Financial Applications
Statistical techniques can be used to address new situations. This is important in
a rapidly evolving risk management and financial world. Analysts with a strong
statistical background understand that a large data set can represent a treasure trove
of information to be mined and can yield a strong competitive advantage.
This book provides budding actuaries and financial analysts with a foundation
in multiple regression and time series. Readers will learn about these statistical
techniques using data on the demand for insurance, lottery sales, foreign exchange
rates, and other applications. Although no specific knowledge of risk management
or finance is presumed, the approach introduces applications in which statistical
techniques can be used to analyze real data of interest. In addition to the fundamentals,
this book describes several advanced statistical topics that are particularly relevant
to actuarial and financial practice, including the analysis of longitudinal, two-part
(frequency/severity), and fat-tailed data.
Datasets with detailed descriptions, sample statistical software scripts in R and
SAS, and tips on writing a statistical report, including sample projects, can be found
on the book’s Web site: http://research.bus.wisc.edu/RegActuaries.
