Optimal Age-Based Portfolios with Stochastic Investment Opportunity Sets
In an environment with stocks and short-term debt, random changes in the risk- reward frontier produce hedging demands for equities, implying that portfolio policies supporting optimal life-cycle consumption are rarely mean-variance e¢ cient. Pursuing optimal life-cycle portfolio policies is technologically feasible but it represents a sig- ni?cant burden for individuals and ?nancial ?rms acting as ?duciaries. As a result, investors often rely on relatively simple investment heuristics, most often age-based portfolio policies that rebalance the investor?s portfolio as a function of age alone. We ?nd that (i) the welfare losses associated with these policies are often negligible, so that the trade-o¤ between ?rst-best policies and simpler optimal age-based policies likely favors the approximate policy, and that (ii) not only do initial age-based portfolios display the same overall pattern as ?rst-best portfolios but they are also always within the same order of magnitude.
To our knowledge, this item is not available for
download. To find whether it is available, there are three
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
|Date of creation:||Jul 2006|
|Date of revision:|
|Contact details of provider:|| Postal: |
Web page: http://www.bu.edu/econ/
More information through EDIRC
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.:
- Jér�me B. Detemple & René Garcia & Marcel Rindisbacher, 2003.
"A Monte Carlo Method for Optimal Portfolios,"
Journal of Finance,
American Finance Association, vol. 58(1), pages 401-446, 02.
- Merton, Robert C, 1973. "An Intertemporal Capital Asset Pricing Model," Econometrica, Econometric Society, vol. 41(5), pages 867-87, September.
- George CHACKO & Luis M. VICEIRA, 1999.
"Dynamic Consumption and Portfolio Choice with Stochastic Volatility in Incomplete Markets,"
FAME Research Paper Series
rp11, International Center for Financial Asset Management and Engineering.
- George Chacko & Luis M. Viceira, 2005. "Dynamic Consumption and Portfolio Choice with Stochastic Volatility in Incomplete Markets," Review of Financial Studies, Society for Financial Studies, vol. 18(4), pages 1369-1402.
- George Chacko & Luis M. Viceira, 1999. "Dynamic Consumption and Portfolio Choice with Stochastic Volatility in Incomplete Markets," NBER Working Papers 7377, National Bureau of Economic Research, Inc.
- Chacko, George & Viceira, Luis M, 2005. "Dynamic Consumption and Portfolio Choice with Stochastic Volatility in Incomplete Markets," CEPR Discussion Papers 4913, C.E.P.R. Discussion Papers.
- Jonathan Treussard, 2005. "Life-Cycle Consumption Plans and Portfolio Policies in a Heath-Jarrow-Morton Economy," Boston University - Department of Economics - Working Papers Series WP2005-033, Boston University - Department of Economics.
- MacKinlay, A. Craig, 1995. "Multifactor models do not explain deviations from the CAPM," Journal of Financial Economics, Elsevier, vol. 38(1), pages 3-28, May.
- Merton, Robert C., 1971.
"Optimum consumption and portfolio rules in a continuous-time model,"
Journal of Economic Theory,
Elsevier, vol. 3(4), pages 373-413, December.
- R. C. Merton, 1970. "Optimum Consumption and Portfolio Rules in a Continuous-time Model," Working papers 58, Massachusetts Institute of Technology (MIT), Department of Economics.
When requesting a correction, please mention this item's handle: RePEc:bos:wpaper:wp2006-041. 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: (Gillian Gurish)
If references are entirely missing, you can add them using this form.