Cost of Capital and Regulator’s Preferences: Investigation into a new method of estimating regulatory bias
AbstractWhen computing regulated prices, the standard method is the capital asset pricing model (CAPM) which involves the estimation of a single parameter: the beta of the company. Yet, these computational methods fail to take into account any preference the regulator might have to increase or decrease the beta to favour or punish investors or customers. We propose such a methodology based on what we call a Linex linear optimal method.
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Bibliographic InfoPaper provided by Faculty of Economics, University of Cambridge in its series Cambridge Working Papers in Economics with number 0441.
Date of creation: Jul 2004
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Web page: http://www.econ.cam.ac.uk/index.htm
cost of capital; CAPM; linear predictor; linex;
Find related papers by JEL classification:
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- L50 - Industrial Organization - - Regulation and Industrial Policy - - - General
This paper has been announced in the following NEP Reports:
- NEP-ACC-2004-07-26 (Accounting & Auditing)
- NEP-ALL-2004-07-26 (All new papers)
- NEP-REG-2004-07-26 (Regulation)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Elliott, Graham & Timmermann, Allan, 2004.
"Optimal forecast combinations under general loss functions and forecast error distributions,"
Journal of Econometrics,
Elsevier, vol. 122(1), pages 47-79, September.
- Elliott, Graham & Timmermann, Allan, 2002. "Optimal Forecast Combination Under General Loss Functions and Forecast Error Distributions," University of California at San Diego, Economics Working Paper Series qt15r9t2q2, Department of Economics, UC San Diego.
- Blume, Marshall E, 1975. "Betas and Their Regression Tendencies," Journal of Finance, American Finance Association, vol. 30(3), pages 785-95, June.
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