IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-03149324.html
   My bibliography  Save this paper

An estimation of cost-based market liquidity from daily high, low and close prices
[Una estimación de la liquidez de mercado basada en los costes a partir de los precios máximo, mínimo y de cierre]

Author

Listed:
  • Jawad Saleemi

    (University of Gujrat, UPV - Universitat Politècnica de València = Universitad Politecnica de Valencia = Polytechnic University of Valencia)

Abstract

In the literature of asset pricing, this paper introduces a new method to estimate the cost-based market liquidity (CBML), that is, the bid-ask spread. The proposed model of spread proxy positively correlates with the examined low-frequency spread proxies for a larger dataset. The introduced approach provides potential implications in important aspects. Unlike in the Roll bid-ask spread model and the CHL bid-ask estimator, the CBML model consistently estimates market liquidity and trading cost for the entire dataset. Additionally, the CBML estimator steadily measures positive spreads, unlike in the CS bid-ask spread model. The construction of the proposed approach is not computationally intensive and can be considered for distinct studies at both market and firm levels.

Suggested Citation

  • Jawad Saleemi, 2020. "An estimation of cost-based market liquidity from daily high, low and close prices [Una estimación de la liquidez de mercado basada en los costes a partir de los precios máximo, mínimo y de cierre]," Post-Print hal-03149324, HAL.
  • Handle: RePEc:hal:journl:hal-03149324
    DOI: 10.46503/VUTL1758
    Note: View the original document on HAL open archive server: https://hal.science/hal-03149324
    as

    Download full text from publisher

    File URL: https://hal.science/hal-03149324/document
    Download Restriction: no

    File URL: https://libkey.io/10.46503/VUTL1758?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Mr. Tonny Lybek & Mr. Abdourahmane Sarr, 2002. "Measuring Liquidity in Financial Markets," IMF Working Papers 2002/232, International Monetary Fund.
    2. Lesmond, David A & Ogden, Joseph P & Trzcinka, Charles A, 1999. "A New Estimate of Transaction Costs," The Review of Financial Studies, Society for Financial Studies, vol. 12(5), pages 1113-1141.
    3. Holden, Craig W., 2009. "New low-frequency spread measures," Journal of Financial Markets, Elsevier, vol. 12(4), pages 778-813, November.
    4. Hasbrouck, Joel, 2004. "Liquidity in the Futures Pits: Inferring Market Dynamics from Incomplete Data," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 39(2), pages 305-326, June.
    5. Ho, Thomas & Stoll, Hans R., 1981. "Optimal dealer pricing under transactions and return uncertainty," Journal of Financial Economics, Elsevier, vol. 9(1), pages 47-73, March.
    6. Roll, Richard, 1984. "A Simple Implicit Measure of the Effective Bid-Ask Spread in an Efficient Market," Journal of Finance, American Finance Association, vol. 39(4), pages 1127-1139, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Francisco Guijarro & Ismael Moya-Clemente & Jawad Saleemi, 2021. "Market Liquidity and Its Dimensions: Linking the Liquidity Dimensions to Sentiment Analysis through Microblogging Data," JRFM, MDPI, vol. 14(9), pages 1-12, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Stereńczak, Szymon & Zaremba, Adam & Umar, Zaghum, 2020. "Is there an illiquidity premium in frontier markets?," Emerging Markets Review, Elsevier, vol. 42(C).
    2. Zeynep Cobandag Guloglu & Cumhur Ekinci, 2022. "Liquidity measurement: A comparative review of the literature with a focus on high frequency," Journal of Economic Surveys, Wiley Blackwell, vol. 36(1), pages 41-74, February.
    3. Kang, Wenjin & Zhang, Huiping, 2014. "Measuring liquidity in emerging markets," Pacific-Basin Finance Journal, Elsevier, vol. 27(C), pages 49-71.
    4. Marshall, Ben R. & Nguyen, Nhut H. & Visaltanachoti, Nuttawat, 2018. "Do liquidity proxies measure liquidity accurately in ETFs?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 55(C), pages 94-111.
    5. Cenesizoglu, Tolga & Grass, Gunnar, 2018. "Bid- and ask-side liquidity in the NYSE limit order book," Journal of Financial Markets, Elsevier, vol. 38(C), pages 14-38.
    6. Michael Bleaney & Zhiyong Li, 2016. "A new spread estimator," Review of Quantitative Finance and Accounting, Springer, vol. 47(1), pages 179-211, July.
    7. Modena, Matteo & Linciano, Nadia & Gentile, Monica & Fancello, Francesco, 2014. "The liquidity of dual-listed corporate bonds: empirical evidence from Italian markets," MPRA Paper 62479, University Library of Munich, Germany, revised 23 Feb 2015.
    8. Zhao, Wandi & Wang, Mingjin, 2015. "On the computation of LOT liquidity measure," Economics Letters, Elsevier, vol. 136(C), pages 76-80.
    9. Marshall, Ben R. & Nguyen, Nhut H. & Visaltanachoti, Nuttawat, 2013. "Liquidity measurement in frontier markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 27(C), pages 1-12.
    10. Li, Zhiyong & Lambe, Brendan & Adegbite, Emmanuel, 2018. "New bid-ask spread estimators from daily high and low prices," International Review of Financial Analysis, Elsevier, vol. 60(C), pages 69-86.
    11. Zhao, Wandi & Gao, Yang & Wang, Mingjin, 2022. "Measuring liquidity with return volatility: An analytical approach based on heavy-tailed Censored-GARCH model," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    12. Gregory Connor & Lisa R. Goldberg & Robert A. Korajczyk, 2010. "Portfolio Risk Analysis," Economics Books, Princeton University Press, edition 1, number 9224.
    13. Lauter, Tobias & Prokopczuk, Marcel, 2022. "Measuring commodity market quality," Journal of Banking & Finance, Elsevier, vol. 145(C).
    14. Díaz, Antonio & Escribano, Ana, 2020. "Measuring the multi-faceted dimension of liquidity in financial markets: A literature review," Research in International Business and Finance, Elsevier, vol. 51(C).
    15. Huong Le & Andros Gregoriou, 2020. "How Do You Capture Liquidity? A Review Of The Literature On Low‐Frequency Stock Liquidity," Journal of Economic Surveys, Wiley Blackwell, vol. 34(5), pages 1170-1186, December.
    16. Klova, Valeriia & Odegaard, Bernt Arne, 2018. "Equity trading costs have fallen less than commonly thought. Evidence using alternative trading cost estimators," UiS Working Papers in Economics and Finance 2018/4, University of Stavanger, revised 2019.
    17. Andres, Christian & Cumming, Douglas & Karabiber, Timur & Schweizer, Denis, 2014. "Do markets anticipate capital structure decisions? — Feedback effects in equity liquidity," Journal of Corporate Finance, Elsevier, vol. 27(C), pages 133-156.
    18. Serge Darolles & Jeremy Dudek & Gaëlle Le Fol, 2014. "Liquidity risk and contagion for liquid funds," Post-Print hal-01632776, HAL.
    19. Serge Darolles & Jeremy Dudek & Gaëlle Le Fol, 2012. "Liquidity Contagion. The Emerging Sovereign Debt Markets example," Post-Print hal-01632803, HAL.
    20. Karstanje, Dennis & Sojli, Elvira & Tham, Wing Wah & van der Wel, Michel, 2013. "Economic valuation of liquidity timing," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5073-5087.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-03149324. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.