By Christian Gourieroux
The person hazards confronted through banks, insurers, and dealers are much less good understood than mixture dangers similar to market-price adjustments. however the dangers incurred or carried by means of person humans, businesses, policies, or credits agreements could be simply as devastating as macroevents resembling share-price fluctuations. A finished creation, The Econometrics of person chance is the 1st publication to supply an entire econometric technique for quantifying and coping with this underappreciated yet very important number of possibility. The booklet offers a direction within the econometric concept of person threat illustrated by means of empirical examples. And, not like different texts, it truly is concentrated solely on fixing the particular person possibility difficulties companies confront today.
Christian Gourieroux and Joann Jasiak emphasize the microeconometric point of threat research by means of generally discussing functional difficulties equivalent to retail credits scoring, bank card transaction dynamics, and revenue maximization in promotional mailing. They tackle regulatory concerns in sections on computing the minimal capital reserve for assurance of strength losses, and at the credit-risk degree CreditVar.
The ebook will curiosity graduate scholars in economics, company, finance, and actuarial experiences, in addition to actuaries and monetary analysts.
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Extra resources for The Econometrics of Individual Risk: Credit, Insurance, and Marketing
1976. Distributions of financial accounting ratios: some empirical evidence. Accounting Review January:90–96. , R. Holthausen, and R. Leftwich. 1987. Predicting audit qualifications with financial and market variables. Accounting Review 62:431–54. Ederington, L. 1985. Classification models and bond ratings. Financial Review 20:237–62. Eisenbeis, R. 1977. Pitfalls in the application of discriminant analysis in business, finance and economics. Journal of Finance 32:875–900. , T. Cronan, and L. Perry.
Journal of Financial Quantitative Analysis 15:757–70. 3 Estimation There are a variety of statistical data-based methods for computation and analysis of scores. In this chapter, we assume that a set of data on risk and individual covariates is available, and that we also have access to statistical software for numerical implementations. , that is, to contain observations which are independently and identically distributed. This assumption is satisfied when the sample of observed individuals is random, that is, when each observation is drawn independently with identical probability from the same population.
Neural networks and related methods for classification. Journal of the Royal Statistical Society B 56:409–56. , and A. Gleit. 1994. Quantitative methods in credit management: a survey. Operations Research 42:589–613. , and D. Duncan. 1967. Estimation of the probability of an event as a function of several independent variables. Biometrika 1:167–79. Wiginton, J. C. 1980. A note on the comparison of the logit and discriminant models of consumer credit behaviour. Journal of Financial Quantitative Analysis 15:757–70.