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Economic Valuation of Liquidity Timing

Author

Listed:
  • Dennis Karstanje

    (Erasmus University Rotterdam)

  • Elvira Sojli

    (Erasmus University Rotterdam)

  • Wing Wah Tham

    (Erasmus University Rotterdam)

  • Michel van der Wel

    (Erasmus University Rotterdam)

Abstract
This discussion paper resulted in a publication in the 'Journal of Banking and Finance' (2013). Vol. 37, issue 12, pages 5073-5087. This paper conducts a horse-race of different liquidity proxies using dynamic asset allocation strategies to evaluate the short-horizon predictive ability of liquidity on monthly stock returns. We assess the economic value of the out-of-sample power of empirical models based on different liquidity measures and find three key results: liquidity timing leads to tangible economic gains; a risk-averse investor will pay a high performance fee to switch from a dynamic portfolio strategy based on various liquidity measures to one that conditions on the Zeros measure (Lesmond, Ogden, and Trzcinka, 1999); the Zeros measure outperforms other liquidity measures because of its robustness in extreme market conditions. These findings are stable over time and robust to controlling for existing market return predictors or considering risk-adjusted returns.

Suggested Citation

  • Dennis Karstanje & Elvira Sojli & Wing Wah Tham & Michel van der Wel, 2013. "Economic Valuation of Liquidity Timing," Tinbergen Institute Discussion Papers 13-156/IV/DSF64, Tinbergen Institute.
    • Handle: RePEc:tin:wpaper:20130156
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    References listed on IDEAS

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    Cited by:

    1. Alexandre Ripamonti, 2019. "Capital Structure Adjustments and Asymmetric Information," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 11(12), pages 1-1, December.
    2. Niels S. Grønborg & Asger Lunde & Kasper V. Olesen & Harry Vander Elst, 2018. "Realizing Correlations Across Asset Classes," CREATES Research Papers 2018-37, Department of Economics and Business Economics, Aarhus University.
    3. Chang‐Che Wu & MeiChi Huang & Chih‐Chiang Wu, 2021. "The role of asymmetry and dynamics in carry trade and general financial markets," The Financial Review, Eastern Finance Association, vol. 56(2), pages 331-353, May.
    4. Ripamonti, Alexandre & Silva, Diego & Moreira Neto, Eurico, 2018. "Asset Pricing and Asymmetric Information," MPRA Paper 87403, University Library of Munich, Germany.
    5. Ripamonti, Alexandre, 2019. "Capital Structure Adjustments and Asymmetric Information," MPRA Paper 96936, University Library of Munich, Germany.
    6. Ripamonti, Alexandre, 2016. "Corwin-Schultz bid-ask spread estimator in the Brazilian stock market," MPRA Paper 79459, University Library of Munich, Germany.
    7. Wattanatorn, Woraphon & Padungsaksawasdi, Chaiyuth & Chunhachinda, Pornchai & Nathaphan, Sarayut, 2020. "Mutual fund liquidity timing ability in the higher moment framework," Research in International Business and Finance, Elsevier, vol. 51(C).
    8. Priyanka Naik & Y. V. Reddy, 2021. "Stock Market Liquidity: A Literature Review," SAGE Open, , vol. 11(1), pages 21582440209, January.
    9. Suk Joon Byun & Bart Frijns & Tai‐Yong Roh, 2018. "A comprehensive look at the return predictability of variance risk premia," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(4), pages 425-445, April.
    10. Grønborg, Niels S. & Lunde, Asger & Olesen, Kasper V. & Vander Elst, Harry, 2022. "Realizing correlations across asset classes," Journal of Financial Markets, Elsevier, vol. 59(PA).

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    More about this item

    Keywords

    Liquidity; forecasting; expected returns; economic valuation;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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