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Improving Portfolio Liquidity with Cash-Value-at-Risk for Covariance Estimations in Quantitative Trading

Author

Listed:
  • Tuan Tran

    (EPHE - École Pratique des Hautes Études - PSL - Université Paris Sciences et Lettres)

  • Nhat Nguyen

Abstract

Understanding characteristics of covariance matrix is an important research topic. In quantitative trading, portfolio liquidity is a hidden dimension and important as others such as portfolio volatility. In this paper, we propose a liquidity impact measure to improve the portfolio liquidity and also a novel Cash Value at Risk to evaluate the liquidity risk from portfolio cash perspective. Experimental results on various scenarios show that our approach improve a portfolio turnover significantly and also better than others on Cash Value at Risk in almost all cases. An interesting finding is that linear shrinkage covariance estimations not only improve the covariance structure but also resolve a large partial of liquidity.

Suggested Citation

  • Tuan Tran & Nhat Nguyen, 2022. "Improving Portfolio Liquidity with Cash-Value-at-Risk for Covariance Estimations in Quantitative Trading," Working Papers hal-03647881, HAL.
  • Handle: RePEc:hal:wpaper:hal-03647881
    Note: View the original document on HAL open archive server: https://hal.science/hal-03647881v1
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    References listed on IDEAS

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    1. Ledoit, Olivier & Wolf, Michael, 2004. "A well-conditioned estimator for large-dimensional covariance matrices," Journal of Multivariate Analysis, Elsevier, vol. 88(2), pages 365-411, February.
    2. 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.
    3. J. Doyne Farmer & Laszlo Gillemot & Fabrizio Lillo & Szabolcs Mike & Anindya Sen, 2004. "What really causes large price changes?," Quantitative Finance, Taylor & Francis Journals, vol. 4(4), pages 383-397.
    4. Victor DeMiguel & Lorenzo Garlappi & Francisco J. Nogales & Raman Uppal, 2009. "A Generalized Approach to Portfolio Optimization: Improving Performance by Constraining Portfolio Norms," Management Science, INFORMS, vol. 55(5), pages 798-812, May.
    5. Amihud, Yakov & Mendelson, Haim, 1986. "Asset pricing and the bid-ask spread," Journal of Financial Economics, Elsevier, vol. 17(2), pages 223-249, December.
    6. Mr. Tonny Lybek & Mr. Abdourahmane Sarr, 2002. "Measuring Liquidity in Financial Markets," IMF Working Papers 2002/232, International Monetary Fund.
    7. Yakov Amihud & Joonki Noh & Andrew Karolyi, 2021. "Illiquidity and Stock Returns II: Cross-section and Time-series Effects [A simple estimation of bid-ask spreads from daily close, high and low prices]," The Review of Financial Studies, Society for Financial Studies, vol. 34(4), pages 2101-2123.
    8. Ledoit, Olivier & Wolf, Michael, 2003. "Improved estimation of the covariance matrix of stock returns with an application to portfolio selection," Journal of Empirical Finance, Elsevier, vol. 10(5), pages 603-621, December.
    9. Best, Michael J & Grauer, Robert R, 1991. "On the Sensitivity of Mean-Variance-Efficient Portfolios to Changes in Asset Means: Some Analytical and Computational Results," The Review of Financial Studies, Society for Financial Studies, vol. 4(2), pages 315-342.
    10. Vijay K. Chopra & William T. Ziemba, 2013. "The Effect of Errors in Means, Variances, and Covariances on Optimal Portfolio Choice," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 21, pages 365-373, World Scientific Publishing Co. Pte. Ltd..
    11. Lin, Ji-Chai & Singh, Ajai K. & Yu, Wen, 2009. "Stock splits, trading continuity, and the cost of equity capital," Journal of Financial Economics, Elsevier, vol. 93(3), pages 474-489, September.
    12. 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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    Keywords

    covariance matrix; shrinkage estimation; portfolio liquidity;
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