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Banking Strategy, Credit Appraisal, and Lending DecisionsA Risk–Return Framework$
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Hrishikes Bhattacharya

Print publication date: 2011

Print ISBN-13: 9780198074106

Published to Oxford Scholarship Online: September 2012

DOI: 10.1093/acprof:oso/9780198074106.001.0001

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Business Forecasting and Credit Decisions

Business Forecasting and Credit Decisions

Chapter:
(p.323) 13 Business Forecasting and Credit Decisions
Source:
Banking Strategy, Credit Appraisal, and Lending Decisions
Author(s):

Hrishikes Bhattacharya

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780198074106.003.0013

This chapter discusses one of the most reliable and commonly used techniques of business forecasting, and develops an appraisal methodology by applying this technique. Of the various statistical techniques used for forecasting, the least square regression analysis has stood the test of time. The standard error of estimate aided by the ‘t’ distribution table enables a decision maker to take a position within a range depending upon the risk profile of the customer, and that of the lending organization.

Keywords:   statistical techniques, least square regression, standard error of estimate, t-distribution, forecasting

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