Evaluating Portfolio Performance with Stochastic Discount Factors
AbstractThis paper provides evidence on the use of stochastic discount factors in the evaluation of portfolio performance. First, we discuss evaluation in this setting, and relate it to traditional mean-variance analysis. We then use Monte Carlo experiments to examine the small sample properties of generalized method of moment (GMM) estimators. Both size and power properties are characterized for various GMM approaches. Finally, we apply the methodology to Swedish-based mutual funds. We offer an evaluation allowing for passive as well as dynamic strategies. The conditional evaluation indicates that funds may have had superior performance over the sample period.
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.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoPaper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number 1663.
Date of creation: Jun 1997
Date of revision:
Contact details of provider:
Postal: Centre for Economic Policy Research, 77 Bastwick Street, London EC1V 3PZ.
Phone: 44 - 20 - 7183 8801
Fax: 44 - 20 - 7183 8820
Other versions of this item:
- Dahlquist, Magnus & Soderlind, Paul, 1999. "Evaluating Portfolio Performance with Stochastic Discount Factors," The Journal of Business, University of Chicago Press, vol. 72(3), pages 347-83, July.
- Dahlquist, Magnus & Söderlind, Paul, 1997. "Evaluating Portfolio Performance with Stochastic Discount Factors," Working Paper Series in Economics and Finance 175, Stockholm School of Economics, revised 01 Sep 1998.
- G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
- G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- DeRoon, Frans A. & Nijman, Theo E., 2001.
"Testing for mean-variance spanning: a survey,"
Journal of Empirical Finance,
Elsevier, vol. 8(2), pages 111-155, May.
- Roon, F.A. de & Nijman, T.E., 1998. "Testing for mean-variance spanning: A survey," Discussion Paper 1998-132, Tilburg University, Center for Economic Research.
- Nijman, T.E. & Roon, F.A. de, 2001. "Testing for mean-variance spanning: A survey," Open Access publications from Tilburg University urn:nbn:nl:ui:12-87531, Tilburg University.
- Dahlquist, Magnus & Engström, Stefan & Söderlind, Paul, 1999. "Performance and Characteristics of Swedish Mutual Funds 1993-97," CEPR Discussion Papers 2166, C.E.P.R. Discussion Papers.
- Min, Byoung-Kyu & Kim, Tong Suk, 2012. "Are good-news firms riskier than bad-news firms?," Journal of Banking & Finance, Elsevier, vol. 36(5), pages 1528-1535.
- Fletcher, Jonathan & Kihanda, Joseph, 2005. "An examination of alternative CAPM-based models in UK stock returns," Journal of Banking & Finance, Elsevier, vol. 29(12), pages 2995-3014, December.
- Abel, Ernest & Fletcher, Jonathan, 2004. "An empirical examination of UK emerging market unit trust performance," Emerging Markets Review, Elsevier, vol. 5(4), pages 389-408, December.
- Bekaert, Geert & Liu, Jun, 2001. "Conditioning Information and Variance on Pricing Kernals," University of California at Los Angeles, Anderson Graduate School of Management qt9m7392rq, Anderson Graduate School of Management, UCLA.
- Engström, Stefan, 2000.
"Costly Information, Diversification, and International Mutual Fund Performance,"
Working Paper Series in Economics and Finance
385, Stockholm School of Economics, revised 10 Nov 2001.
- Engstrom, Stefan, 2003. "Costly information, diversification and international mutual fund performance," Pacific-Basin Finance Journal, Elsevier, vol. 11(4), pages 463-482, September.
- Ayadi, Mohamed A. & Kryzanowski, Lawrence, 2005. "Portfolio performance measurement using APM-free kernel models," Journal of Banking & Finance, Elsevier, vol. 29(3), pages 623-659, March.
- Gutierrez, Roberto Jr. & Prinsky, Christo A., 2007. "Momentum, reversal, and the trading behaviors of institutions," Journal of Financial Markets, Elsevier, vol. 10(1), pages 48-75, February.
- Potì, Valerio & Wang, DengLi, 2010. "The coskewness puzzle," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1827-1838, August.
- Heber Farnsworth & Wayne E. Ferson & David Jackson & Steven Todd, 2002. "Performance Evaluation with Stochastic Discount Factors," NBER Working Papers 8791, National Bureau of Economic Research, Inc.
- Antonio Diez de los Rios & René Garcia, 2011. "The option CAPM and the performance of hedge funds," Review of Derivatives Research, Springer, vol. 14(2), pages 137-167, July.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ().
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.