Hostname: page-component-78c5997874-8bhkd Total loading time: 0 Render date: 2024-11-12T21:26:30.578Z Has data issue: false hasContentIssue false
  • English
  • Français

Optimal Credit Policy Selection: A Dynamic Approach

Published online by Cambridge University Press:  19 October 2009

Dileep Mehta
Get access Rights & Permissions [Opens in a new window]

Extract

In an earlier paper [2], the sequential decision process was applied to two major facets of credit management: (a) deriving unambiguous decision rules for handling individual credit requests; and (b) devising relevant credit indices for effective management control and evaluation of the system. Usefulness of the model was constrained by its static nature and by exogenous determination of other significant variables, notably, collection efforts and costs.

Type
Research Article
Information
Journal of Financial and Quantitative Analysis , Volume 5 , Issue 4-5 , December 1970 , pp. 421 - 444
Copyright
Copyright © School of Business Administration, University of Washington 1970

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

[1]Cyert, R., Davidson, H., and Thompson, S. L., “Estimation of the Allowance for Doubtful Accounts by Markov Chains,” Management Science (April 1962), pp. 287–303.CrossRefGoogle Scholar
[2]Mehta, D., “The Formulation of Credit Policy Models,” Management Science (October 1968), pp. 30–50.Google Scholar
[3] “Markow Process and Estimates for Credit Policy Formulation,” Working Paper (October 1969).Google Scholar