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https://hdl.handle.net/20.500.14279/3404
Τίτλος: | Robust estimation with flexible parametric distributions: estimation of utility stock betas | Συγγραφείς: | McDonald, James B. Michelfelder, Richard Theodossiou, Panayiotis |
Major Field of Science: | Social Sciences | Field Category: | Economics and Business | Λέξεις-κλειδιά: | Beta;Flexible distributions;Kurtosis;Robust estimation;Skewness | Ημερομηνία Έκδοσης: | 14-Ιου-2010 | Πηγή: | Quantitative finance, 2010, vol. 10, no. 4, pp. 375-387 | Volume: | 10 | Issue: | 4 | Start page: | 375 | End page: | 387 | Περιοδικό: | Quantitative Finance | Περίληψη: | The distributions of stock returns and capital asset pricing model (CAPM) regression residuals are typically characterized by skewness and kurtosis. We apply four flexible probability density functions (pdfs) to model possible skewness and kurtosis in estimating the parameters of the CAPM and compare the corresponding estimates with ordinary least squares (OLS) and other symmetric distribution estimates. Estimation using the flexible pdfs provides more efficient results than OLS when the errors are non-normal and similar results when the errors are normal. Large estimation differences correspond to clear departures from normality. Our results show that OLS is not the best estimator of betas using this type of data. Our results suggest that the use of OLS CAPM betas may lead to erroneous estimates of the cost of capital for public utility stocks | URI: | https://hdl.handle.net/20.500.14279/3404 | ISSN: | 14697696 | DOI: | 10.1080/14697680902814241 | Rights: | © Taylor & Francis | Type: | Article | Affiliation: | Cyprus University of Technology Rutgers University Brigham Young University |
Publication Type: | Peer Reviewed |
Εμφανίζεται στις συλλογές: | Άρθρα/Articles |
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