Regression Modeling with Actuarial and Financial Applications (International Series on Actuarial Science)

Frees, Edward W.

ISBN 10: 0521760119 / ISBN 13: 9780521760119

Published by Cambridge University Press, 2010

About this Item

This book teaches multiple regression and time series and how to use these to analyze real data in risk management and finance. Series: International Series on Actuarial Science. Num Pages: 584 pages, 139 b/w illus. 142 tables 89 exercises. BIC Classification: KFFN; PBT. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 256 x 182 x 40. Weight in Grams: 1118. . 2010. Illustrated. hardcover. . . . .

Seller Inventory # V9780521760119

Bibliographic Details

• Title: Regression Modeling with Actuarial and Financial Applications (International Series on Actuarial Science)
• Publisher: Cambridge University Press
• Publication Date: 2010
• Language: English
• ISBN 10: 0521760119
• ISBN 13: 9780521760119
• Binding: Hardcover
• Condition: New

About this title

Synopsis

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.

About the Author

Edward W. (Jed) Frees is a Professor of Business at the University of Wisconsin, Madison and is holder of the Assurant Health Insurance Professorship of Actuarial Science. He is a Fellow of both the Society of Actuaries (SoA) and the American Statistical Association (ASA). Professor Frees is the author of Longitudinal and Panel Data (2004) and has published more than fifty articles in leading refereed academic journals.