Stock Market Mean Reversion and the Optimal Equity Allocation of a Long-Lived Investor
AbstractThis paper solves numerically the intertemporal consumption and portfolio choice problem of an infinitely-lived investor who faces a time-varying equity premium. The solutions we obtain are very similar to the approximate analytical solutions of Campbell and Viceira (1999), except at the upper extreme of the state space where both the numerical consumption and portfolio rules flatten out. We also consider a constrained version of the problem in which the investor faces borrowing and short-sales restrictions. These constraints bind when the equity premium moves away from its mean in either direction, and are particularly severe for risk-tolerant investors. The constraints have substantial effects on optimal consumption, but much more modest effects on optimal portfolio choice in the region of the state space where they are not binding.
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 Harvard University Department of Economics in its series Scholarly Articles with number 3353758.
Date of creation: 2001
Date of revision:
Publication status: Published in European Finance Review
Other versions of this item:
- John Y. Campbell & Joao Cocco & Francisco Gomes & Pascal Maenhout & Luis M. Viceira, 1999. "Stock Market Mean Reversion and the Optimal Equity Allocation of a Long-Lived Investor," Computing in Economics and Finance 1999 1344, Society for Computational Economics.
- John Y. Campbell & Joao Cocco & Francisco Gomes & Pascal Maenhout & Luis Viceira, 2000. "Stock Market Mean Reversion and the Optimal Equity Allocation of a Long-Lived Investor," Harvard Institute of Economic Research Working Papers 1899, Harvard - Institute of Economic Research.
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
This item has more than 25 citations. To prevent cluttering this page, these citations are listed on a separate page. reading list or among the top items on IDEAS.Access and download statisticsgeneral 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: (Ben Steinberg).
If references are entirely missing, you can add them using this form.