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Liquidity and conditional portfolio choice: A nonparametric investigation

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  • Ghysels, Eric
  • Pereira, João Pedro

Abstract

This paper studies the relation between liquidity and optimal portfolio allocations. Given that the portfolio problem of a constant relative risk aversion investor does not have a closed-form solution, we use a nonparametric approach to estimate the optimal allocations. Using a sample of NYSE stocks from 1963-2000, we find that the optimal portfolio weight in small stocks is strongly increasing in liquidity at short daily and weekly horizons. This result is consistent for three different measures of liquidity: price impact, dollar volume, and turnover. However, liquidity does not influence the optimal portfolio choice for large stocks, nor for longer monthly investment horizons.

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  • Ghysels, Eric & Pereira, João Pedro, 2008. "Liquidity and conditional portfolio choice: A nonparametric investigation," Journal of Empirical Finance, Elsevier, vol. 15(4), pages 679-699, September.
    • Handle: RePEc:eee:empfin:v:15:y:2008:i:4:p:679-699
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    Cited by:

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    2. Pereira, João Pedro & Zhang, Harold H., 2010. "Stock Returns and the Volatility of Liquidity," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(4), pages 1077-1110, August.
    3. Vidović Jelena & Poklepović Tea & Aljinović Zdravka, 2014. "How to Measure Illiquidity on European Emerging Stock Markets?," Business Systems Research, Sciendo, vol. 5(3), pages 67-81, September.
    4. Bazgour, Tarik & Heuchenne, Cedric & Sougné, Danielle, 2016. "Conditional portfolio allocation: Does aggregate market liquidity matter?," Journal of Empirical Finance, Elsevier, vol. 35(C), pages 110-135.
    5. Chiang, Thomas C. & Zheng, Dazhi, 2015. "Liquidity and stock returns: Evidence from international markets," Global Finance Journal, Elsevier, vol. 27(C), pages 73-97.
    6. Martin Hoesli & Eva Liljeblom & Anders Loflund, 2014. "The Effect of Lock-Ups on the Suggested Real Estate Portfolio Weight," International Real Estate Review, Global Social Science Institute, vol. 17(1), pages 1-22.
    7. Joachim Inkmann & Zhen Shi, 2015. "Parametric Portfolio Policies in the Surplus Consumption Ratio," International Review of Finance, International Review of Finance Ltd., vol. 15(2), pages 257-282, June.
    8. Hao Li & Zhisheng Li, 2022. "The effect of daily price limits on stock liquidity: Evidence from the Chinese stock market," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(5), pages 4885-4917, December.
    9. Fuwei Jiang & Wei Ning & Hao Xue, 2023. "Factor Timing with Investor Sentiment," Annals of Economics and Finance, Society for AEF, vol. 24(2), pages 401-437, November.
    10. Giuseppe Buccheri & Davide Pirino & Luca Trapin, 2021. "Managing liquidity with portfolio staleness," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(1), pages 215-239, June.
    11. Inkmann, Joachim, 2024. "Aggregate portfolio choice," Journal of Empirical Finance, Elsevier, vol. 77(C).

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