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Estimation accuracy of high–low spread estimator

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  • Lin, Chien-Chih

Abstract

In this paper we analyze the estimation accuracy of high–low spread estimator. It is found that the performance of high–low spread estimator depends on the size of the true spread, the level of transaction frequency, and the degree of volatility. Analyzing the probability of measurement error, it is shown that the high–low spread estimators have better performance when the size of the spread is even wider, when the level of transaction frequency is even higher, or when the degree of volatility is relatively lower.

Suggested Citation

  • Lin, Chien-Chih, 2014. "Estimation accuracy of high–low spread estimator," Finance Research Letters, Elsevier, vol. 11(1), pages 54-62.
    • Handle: RePEc:eee:finlet:v:11:y:2014:i:1:p:54-62
    DOI: 10.1016/j.frl.2013.05.004
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    References listed on IDEAS

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    1. Garman, Mark B & Klass, Michael J, 1980. "On the Estimation of Security Price Volatilities from Historical Data," The Journal of Business, University of Chicago Press, vol. 53(1), pages 67-78, January.
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    3. Choi, J. Y. & Salandro, Dan & Shastri, Kuldeep, 1988. "On the Estimation of Bid-Ask Spreads: Theory and Evidence," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 23(2), pages 219-230, June.
    4. Glosten, Lawrence R, 1987. "Components of the Bid-Ask Spread and the Statistical Properties of Transaction Prices," Journal of Finance, American Finance Association, vol. 42(5), pages 1293-1307, December.
    5. Parkinson, Michael, 1980. "The Extreme Value Method for Estimating the Variance of the Rate of Return," The Journal of Business, University of Chicago Press, vol. 53(1), pages 61-65, January.
    6. Shane A. Corwin & Paul Schultz, 2012. "A Simple Way to Estimate Bid‐Ask Spreads from Daily High and Low Prices," Journal of Finance, American Finance Association, vol. 67(2), pages 719-760, April.
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    8. Joel Hasbrouck, 2009. "Trading Costs and Returns for U.S. Equities: Estimating Effective Costs from Daily Data," Journal of Finance, American Finance Association, vol. 64(3), pages 1445-1477, June.
    9. George, Thomas J & Kaul, Gautam & Nimalendran, M, 1991. "Estimation of the Bid-Ask Spread and Its Components: A New Approach," The Review of Financial Studies, Society for Financial Studies, vol. 4(4), pages 623-656.
    10. 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.
    11. Holden, Craig W., 2009. "New low-frequency spread measures," Journal of Financial Markets, Elsevier, vol. 12(4), pages 778-813, November.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. 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.
    2. Ripamonti, Alexandre, 2020. "Financial institutions, asymmetric information and capital structure adjustments," The Quarterly Review of Economics and Finance, Elsevier, vol. 77(C), pages 75-83.
    3. Ripamonti, Alexandre & Silva, Diego & Moreira Neto, Eurico, 2018. "Asset Pricing and Asymmetric Information," MPRA Paper 87403, University Library of Munich, Germany.
    4. Ripamonti, Alexandre, 2019. "Capital Structure Adjustments and Asymmetric Information," MPRA Paper 96936, University Library of Munich, Germany.

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    More about this item

    Keywords

    High–low spread estimator; Estimation accuracy; Effective spread; Measurement error;
    All these keywords.

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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