A Panel Data Approach to Testing Anomaly Effects in Factor Pricing Models
AbstractThere has been a large anomaly literature where firm specific characteristics such as earnings-to-price ratio and book-to-market ratio as well as size help explain cross sectional returns. These anomalies that have been attributed to market inefficiency could be the result of a misspecification of the underlying factor pricing model. The most popular approach to detecting these anomaly effects has been the two pass (TP) cross-sectional regression models, advanced by Black, Jensen and Scholes (1972) and Fama and MacBeth (1973). However, it is well-established that the TP method suffers from the errors in variables problem, because estimated betas are used in the second stage cross sectional regression. In this paper we address the issue of testing for factor price misspecification via the panel data approach. Perhaps one of the main reasons for the neglect of benefits of using panel data technique is that in factor pricing models, all betas are heterogeneous in the first pass time series regression. However, if our interest lies solely in testing the significance of the firm's characteristics in factor pricing models, we can show how to construct a theoretically coherent example to which panel data techniques dealing with both homogeneous and heterogeneous parameters can be applied. Panel-based anomaly tests have one clear advantage over TP-based tests; they are based on full information maximum likelihood estimates so that they do not su®er from the errors in variable problem and have all the usual asymptotic properties associated with likelihood tests. The empirical illustration shows the importance of Book-to-Market equity and market value in helping explain asset returns even in the three factor models.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Edinburgh School of Economics, University of Edinburgh in its series ESE Discussion Papers with number 88.
Date of creation: Mar 2004
Date of revision:
Excess returns; market efficiency; anomaly effects; pooled ML estimation.;
Other versions of this item:
- Serlenga, Laura & Yongcheol Shin & Andy Snell, 2002. "A Panel Data Approach to testing Anomaly Effects in Factor Pricing Models," Royal Economic Society Annual Conference 2002 165, Royal Economic Society.
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing
This paper has been announced in the following NEP Reports:
- NEP-ALL-2004-03-14 (All new papers)
- NEP-CFN-2004-03-14 (Corporate Finance)
- NEP-ECM-2004-03-14 (Econometrics)
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.:
- Eckbo, B. Espen & Masulis, Ronald W., 1992. "Adverse selection and the rights offer paradox," Journal of Financial Economics, Elsevier, vol. 32(3), pages 293-332, December.
- Hertzel, Michael G & Smith, Richard L, 1993. " Market Discounts and Shareholder Gains for Placing Equity Privately," Journal of Finance, American Finance Association, vol. 48(2), pages 459-85, June.
- Marco Bigelli, 1998. "The Quasi-split Effect, Active Insiders and the Italian Market Reaction to Equity Rights Issues," European Financial Management, European Financial Management Association, vol. 4(2), pages 185-206.
- Hansen, Robert S & Torregrosa, Paul, 1992. " Underwriter Compensation and Corporate Monitoring," Journal of Finance, American Finance Association, vol. 47(4), pages 1537-55, September.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Gina Reddie).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.