Exploiting price misalignements
Signi�cant cumulative above the market returns can be made by diversifying wealth between equity and bond assets over time. The main premise of the trading rule model is to identify when should assets be held in the bond and equity markets in real time. The model involves comparing the net present value of the equity index with the actual price. Recursive and Rolling forecasts of dividends from three regression schemes are used to proxy expected dividends. The returns are sensitive to the forecasting model and the discount factor adopted in the net present value relation.
|Date of creation:||09 Sep 2009|
|Contact details of provider:|| Postal: Ludwigstraße 33, D-80539 Munich, Germany|
Web page: https://mpra.ub.uni-muenchen.de
More information through EDIRC
References listed on IDEAS
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.:
- Bulkley, George & Tonks, Ian, 1989. "Are U.K. Stock Prices Excessively Volatile? Trading Rules and Variance Bounds Tests," Economic Journal, Royal Economic Society, vol. 99(398), pages 1083-1098, December.
- Shiller, Robert J. & Beltratti, Andrea E., 1992.
"Stock prices and bond yields : Can their comovements be explained in terms of present value models?,"
Journal of Monetary Economics,
Elsevier, vol. 30(1), pages 25-46, October.
- Robert J. Shiller & Andrea E. Beltratti, 1990. "Stock Prices and Bond Yields: Can Their Comovements Be Explained in Terms of Present Value Models?," NBER Working Papers 3464, National Bureau of Economic Research, Inc.
- Robert J. Shiller & Andrea E. Beltratti, 1990. "Stock Prices and Bond Yields: Can Their Co-Movements Be Explained in Terms of Present Value Models?," Cowles Foundation Discussion Papers 953, Cowles Foundation for Research in Economics, Yale University.
- Allan G. Timmermann, 1993. "How Learning in Financial Markets Generates Excess Volatility and Predictability in Stock Prices," The Quarterly Journal of Economics, Oxford University Press, vol. 108(4), pages 1135-1145.
- Timmermann, Allan & Granger, Clive W. J., 2004. "Efficient market hypothesis and forecasting," International Journal of Forecasting, Elsevier, vol. 20(1), pages 15-27.
- Granger, Clive & Timmermann, Allan G, 2002. "Efficient Market Hypothesis and Forecasting," CEPR Discussion Papers 3593, C.E.P.R. Discussion Papers.
- Avramov, Doron, 2002. "Stock return predictability and model uncertainty," Journal of Financial Economics, Elsevier, vol. 64(3), pages 423-458, June.
- Poterba, James M. & Summers, Lawrence H., 1988. "Mean reversion in stock prices : Evidence and Implications," Journal of Financial Economics, Elsevier, vol. 22(1), pages 27-59, October.
- James M. Poterba & Lawrence H. Summers, 1987. "Mean Reversion in Stock Prices: Evidence and Implications," NBER Working Papers 2343, National Bureau of Economic Research, Inc.
- Sweeney, Richard J, 1986. " Beating the Foreign Exchange Market," Journal of Finance, American Finance Association, vol. 41(1), pages 163-182, March.
- Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
- Diebold, Francis X & Mariano, Roberto S, 1995. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 253-263, July.
- Francis X. Diebold & Robert S. Mariano, 1994. "Comparing Predictive Accuracy," NBER Technical Working Papers 0169, National Bureau of Economic Research, Inc.
- David Rey, 2005. "Market Timing And Model Uncertainty: An Exploratory Study For The Swiss Stock Market," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 19(3), pages 239-260, October.
- JULES H. van BINSBERGEN & RALPH S. J. KOIJEN, 2010. "Predictive Regressions: A Present-Value Approach," Journal of Finance, American Finance Association, vol. 65(4), pages 1439-1471, 08.
- Jules H. van Binsbergen & Ralph S.J. Koijen, 2010. "Predictive Regressions: A Present-value Approach," NBER Working Papers 16263, National Bureau of Economic Research, Inc.
- Bulkley, George & Tonks, Ian, 1992. "Trading Rules and Excess Volatility," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 27(03), pages 365-382, September.
- Doron Avramov, 2004. "Stock Return Predictability and Asset Pricing Models," Review of Financial Studies, Society for Financial Studies, vol. 17(3), pages 699-738.
- Timmermann, Allan, 2008. "Elusive return predictability," International Journal of Forecasting, Elsevier, vol. 24(1), pages 1-18.
- Bulkley, George & Taylor, Nick, 1996. "A cross-section test of the present value model," Journal of Empirical Finance, Elsevier, vol. 2(4), pages 295-306, February. Full references (including those not matched with items on IDEAS)
When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:27147. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter)
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.