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Price contingent and price-volume contingent portfolio strategies

Author

Listed:
  • Alain Guéniche

    (Grenoble Ecole de Management)

  • Philippe Dupuy

    (Grenoble Ecole de Management)

  • Wan Ni Lai

    (SKEMA Business School)

Abstract

Using a partially revealing dynamic equilibrium model, investors adjust their estimates of the expected returns through the price discovery process (past price dynamics) and consequently implement price contingent portfolios based on these estimates. We implement the price contingent portfolio on the U.S. stock market and compare its performance with other common portfolio strategies. We also consider the price-volume contingent strategy, estimating the expected return and covariance matrix from both the past price and observed volume dynamics. We find that these signal-based portfolios outperform the capitalization and equal weighted strategies. They also provide appealing diversification benefits compared to common optimization-based portfolios.

Suggested Citation

  • Alain Guéniche & Philippe Dupuy & Wan Ni Lai, 2023. "Price contingent and price-volume contingent portfolio strategies," Journal of Asset Management, Palgrave Macmillan, vol. 24(3), pages 173-183, May.
    • Handle: RePEc:pal:assmgt:v:24:y:2023:i:3:d:10.1057_s41260-023-00304-5
    DOI: 10.1057/s41260-023-00304-5
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    References listed on IDEAS

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    1. Dichtl, Hubert & Drobetz, Wolfgang, 2011. "Portfolio insurance and prospect theory investors: Popularity and optimal design of capital protected financial products," Journal of Banking & Finance, Elsevier, vol. 35(7), pages 1683-1697, July.
    2. Lattimore, Pamela K. & Baker, Joanna R. & Witte, Ann D., 1992. "The influence of probability on risky choice: A parametric examination," Journal of Economic Behavior & Organization, Elsevier, vol. 17(3), pages 377-400, May.
    3. Andrew W. Lo & Jiang Wang, 2006. "Trading Volume: Implications of an Intertemporal Capital Asset Pricing Model," Journal of Finance, American Finance Association, vol. 61(6), pages 2805-2840, December.
    4. Bruno Biais & Peter Bossaerts & Chester Spatt, 2010. "Equilibrium Asset Pricing and Portfolio Choice Under Asymmetric Information," Review of Financial Studies, Society for Financial Studies, vol. 23(4), pages 1503-1543, April.
    5. Frazzini, Andrea & Pedersen, Lasse Heje, 2014. "Betting against beta," Journal of Financial Economics, Elsevier, vol. 111(1), pages 1-25.
    6. Grossman, Sanford J & Stiglitz, Joseph E, 1980. "On the Impossibility of Informationally Efficient Markets," American Economic Review, American Economic Association, vol. 70(3), pages 393-408, June.
    7. Ledoit, Oliver & Wolf, Michael, 2008. "Robust performance hypothesis testing with the Sharpe ratio," Journal of Empirical Finance, Elsevier, vol. 15(5), pages 850-859, December.
    8. Shumway, Tyler, 1997. "The Delisting Bias in CRSP Data," Journal of Finance, American Finance Association, vol. 52(1), pages 327-340, March.
    9. Vinod, H. D., 2004. "Ranking mutual funds using unconventional utility theory and stochastic dominance," Journal of Empirical Finance, Elsevier, vol. 11(3), pages 353-377, June.
    10. Xiaoxia Lou & Tao Shu, 2017. "Price Impact or Trading Volume: Why Is the Amihud (2002) Measure Priced?," The Review of Financial Studies, Society for Financial Studies, vol. 30(12), pages 4481-4520.
    11. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    12. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    13. Pamela K. Lattimore & Joanna R. Baker & A. Dryden Witte, 1992. "The Influence Of Probability on Risky Choice: A parametric Examination," NBER Technical Working Papers 0081, National Bureau of Economic Research, Inc.
    14. Cederburg, Scott & O’Doherty, Michael S. & Wang, Feifei & Yan, Xuemin (Sterling), 2020. "On the performance of volatility-managed portfolios," Journal of Financial Economics, Elsevier, vol. 138(1), pages 95-117.
    15. Scherer, Bernd, 2011. "A note on the returns from minimum variance investing," Journal of Empirical Finance, Elsevier, vol. 18(4), pages 652-660, September.
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    More about this item

    Keywords

    Passive strategies; Portfolio construction; Information asymmetry;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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