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Introduction

In: The Econometrics of Individual Risk: Credit, Insurance, and Marketing

Author

Listed:
  • Christian Gourieroux

    (Laboratory for Finance and Insurance at the Center for Research in Economics and Statistics, Paris
    University of Toronto)

  • Joann Jasiak

    (York University, Toronto)

Abstract

The individual risks faced by banks, insurers, and marketers are less well understood than aggregate risks such as market-price changes. But the risks incurred or carried by individual people, companies, insurance policies, or credit agreements can be just as devastating as macroevents such as share-price fluctuations. A comprehensive introduction, The Econometrics of Individual Risk is the first book to provide a complete econometric methodology for quantifying and managing this underappreciated but important variety of risk. The book presents a course in the econometric theory of individual risk illustrated by empirical examples. And, unlike other texts, it is focused entirely on solving the actual individual risk problems businesses confront today. Christian Gourieroux and Joann Jasiak emphasize the microeconometric aspect of risk analysis by extensively discussing practical problems such as retail credit scoring, credit card transaction dynamics, and profit maximization in promotional mailing. They address regulatory issues in sections on computing the minimum capital reserve for coverage of potential losses, and on the credit-risk measure CreditVar. The book will interest graduate students in economics, business, finance, and actuarial studies, as well as actuaries and financial analysts.

Suggested Citation

  • Christian Gourieroux & Joann Jasiak, 2015. "Introduction," Introductory Chapters, in: The Econometrics of Individual Risk: Credit, Insurance, and Marketing, Princeton University Press.
    • Handle: RePEc:pup:chapts:8433-2
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    References listed on IDEAS

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    1. Paul F. Smith, 1964. "Measuring Risk on Consumer Instalment Credit," Management Science, INFORMS, vol. 11(2), pages 327-340, November.
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