This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Optimum Consumption and Portfolio Allocations under Incomplete Information

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Herve Roche
Abstract

We solve in closed form the optimal consumption / portfolio choice problem for the class of isoelastic utility functions under incomplete information about the mean return of the stock price. Our approach consists in converting the original investor's problem into an equivalent program where the agent's utility function is state dependent and for which standard martingale techniques can be easily implemented. Upon observing the realizations of the stock and possibly outside market information, the investor can revise her beliefs about the true value of the mean return, which induces optimal allocations that can be significantly different from those of a myopic agent. We find that the fraction of wealth invested into the risky asset is always increasing in the investor's assessment of the conditional mean return whereas the consumption-wealth is increasing (decreasing) in the latter if the intertemporal elasticity of substitution (I.E.S.) is below (above) unity. When the investor has access to outside market information, the more informative the signal, the higher (lower) the fraction of wealth invested into the risky asset and the lower (higher) the consumption-wealth ratio exactly when the I.E.S. is greater (smaller) than one. The reason is that the agent understands that when she receives better quality information, she can update her beliefs more quickly which in turn can lead to larger changes in her optimal consumption and portfolio allocations. She devotes more of her wealth into the risky asset only if she is willing to tolerate changes in her consumption pattern. Finally, as far as the hedging demand for the risky security is concerned, it is positive (negative) and rises (falls) with more accurate information and the investor horizon, exactly when the I.E.S. if above (below) unity. Hence, the conventional advice according to which long horizon investors should allocate aggressively their wealth to equity is founded only for agents whose intertemporal elasticity of substitution is above unity

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. 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.

File URL: http://repec.org/esLATM04/up.18661.1081202725.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by Econometric Society in its series Econometric Society 2004 Latin American Meetings with number 79.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length:
Date of creation: 11 Aug 2004
Date of revision:
Handle: RePEc:ecm:latm04:79

Contact details of provider:
Phone: 1 212 998 3820
Fax: 1 212 995 4487
Email:
Web page: http://www.econometricsociety.org/pastmeetings.asp
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Christopher F. Baum).

Related research
Keywords: Optimum Portfolio Rules; Optimum Consumption; Incomplete Information; Learning;

Find related papers by JEL classification:
D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information
E21 - Macroeconomics and Monetary Economics - - Macroeconomics: Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

This paper has been announced in the following NEP Reports:

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.:
  1. Pietro Veronesi, 2000. "How Does Information Quality Affect Stock Returns?," Journal of Finance, American Finance Association, vol. 55(2), pages 807-837, 04. [Downloadable!] (restricted)
  2. Detemple Jerome & Murthy Shashidhar, 1994. "Intertemporal Asset Pricing with Heterogeneous Beliefs," Journal of Economic Theory, Elsevier, vol. 62(2), pages 294-320, April. [Downloadable!] (restricted)
  3. 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. [Downloadable!] (restricted)
    Other versions:
  4. Michael Brennan, 1997. "The Role of Learning in Dynamic Portfolio Decisions"," University of California at Los Angeles, Anderson Graduate School of Management 1122, Anderson Graduate School of Management, UCLA. [Downloadable!]
  5. Pietro Veronesi, . "How Does Information Quality Affect Stock Returns?," CRSP working papers 361, Center for Research in Security Prices, Graduate School of Business, University of Chicago.
  6. Gennotte, Gerard, 1986. " Optimal Portfolio Choice under Incomplete Information," Journal of Finance, American Finance Association, vol. 41(3), pages 733-46, July. [Downloadable!] (restricted)
  7. Zapatero, Fernando, 1998. "Effects of financial innovations on market volatility when beliefs are heterogeneous," Journal of Economic Dynamics and Control, Elsevier, vol. 22(4), pages 597-626, April. [Downloadable!] (restricted)
  8. Patrick Bolton & Christopher Harris, 1999. "Strategic Experimentation," Econometrica, Econometric Society, vol. 67(2), pages 349-374, March.
  9. Nicholas Barberis, 2000. "Investing for the Long Run when Returns Are Predictable," Journal of Finance, American Finance Association, vol. 55(1), pages 225-264, 02. [Downloadable!] (restricted)
  10. Gady Zohar, 2001. "A Generalized Cameron-Martin Formula with Applications to Partially Observed Dynamic Portfolio Optimization," Mathematical Finance, Blackwell Publishing, vol. 11(4), pages 475-494. [Downloadable!] (restricted)
  11. Detemple, Jerome B, 1986. " Asset Pricing in a Production Economy with Incomplete Information," Journal of Finance, American Finance Association, vol. 41(2), pages 383-91, June. [Downloadable!] (restricted)
  12. Samuelson, Paul A, 1969. "Lifetime Portfolio Selection by Dynamic Stochastic Programming," The Review of Economics and Statistics, MIT Press, vol. 51(3), pages 239-46, August. [Downloadable!] (restricted)
  13. Veronesi, Pietro, 1999. "Stock Market Overreaction to Bad News in Good Times: A Rational Expectations Equilibrium Model," Review of Financial Studies, Oxford University Press for Society for Financial Studies, vol. 12(5), pages 975-1007.
  14. Honda, Toshiki, 2003. "Optimal portfolio choice for unobservable and regime-switching mean returns," Journal of Economic Dynamics and Control, Elsevier, vol. 28(1), pages 45-78, October. [Downloadable!] (restricted)
  15. Pietro Veronesi, . "How Does Information Quality Affect Stock Returns?," CRSP working papers 462, Center for Research in Security Prices, Graduate School of Business, University of Chicago.
  16. Cuoco, Domenico, 1997. "Optimal Consumption and Equilibrium Prices with Portfolio Constraints and Stochastic Income," Journal of Economic Theory, Elsevier, vol. 72(1), pages 33-73, January. [Downloadable!] (restricted)
  17. Kim, Tong Suk & Omberg, Edward, 1996. "Dynamic Nonmyopic Portfolio Behavior," Review of Financial Studies, Oxford University Press for Society for Financial Studies, vol. 9(1), pages 141-61. [Downloadable!] (restricted)
Full references

Statistics
Access and download statistics

Did you know? Data contributors to RePEc receive monthly emails with details about downloads and abstract views of their works.

This page was last updated on 2009-12-2.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.