Using regression and data envelopment analysis (DEA) to forecast bank performance over time
Document Type
Article
Publication Date
12-1-2009
Abstract
Forecasting is an important tool used to plan and evaluate business operations. Regression analysis is one of the most commonly used forecasting techniques for this purpose. Often forecasts are produced based on a set of comparable units such as individuals, groups, departments, or companies that perform similar activities. We apply a methodology that includes a new independent variable, the comparable unit's data envelopment analysis (DEA) relative efficiency, into the regression analysis. In this chapter, we apply this methodology to compare the performance of commercial banks over a 10-year time period. Copyright © 2009 by Emerald Group Publishing Limited.
Identifier
84884263168 (Scopus)
ISBN
[9781848558786]
Publication Title
Applications of Management Science
External Full Text Location
https://doi.org/10.1108/S0276-8976(2009)0000013010
ISSN
02768976
First Page
133
Last Page
142
Issue
FINANCIAL MODELIN
Volume
13
Recommended Citation
Klimberg, Ronald K.; Lawrence, Kenneth D.; Yermish, Ira; Lai, Tanya; and Mrazik, Daniel, "Using regression and data envelopment analysis (DEA) to forecast bank performance over time" (2009). Faculty Publications. 11740.
https://digitalcommons.njit.edu/fac_pubs/11740
