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Estimation of the effective bid-ask spread on high frequency Danish bond data

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  • K. Nyholm

Abstract

In this paper the effective bid-ask spread is estimated using 12 high frequency Danish bond samples. A clear-cut MA(1)-model for the mean of the return series, and a GARCH(1,1)-model for the variance, are found. Basically, Roll's model is used, but three different methods of calculating the first-order autocovariance are suggested. Each of these in turn produces three possible ways of estimating the effective bid-ask spread. First, Roll's original autocovariance estimate is used. Second, the autocovariance is calculating using the parameters of an estimated MA(1) model. Third, the autocovariance is obtained from the parameters of a joint MA(1)-GARCH(1,1) model. By means of bootstrapping the standard error of the bid-ask spread estimates are found. It is shown that the gain in efficiency, measured by the relative difference in the standard error of the estimates, is 29% when going from method one to method two, but only 1% when going from method two to method three. These results indicate that the extra gain in efficiency obtained by taking account of the MA(1) structure of the data is noteworthy, but the gain when incorporating the GARCH-effects is negligible.

Suggested Citation

  • K. Nyholm, 1999. "Estimation of the effective bid-ask spread on high frequency Danish bond data," The European Journal of Finance, Taylor & Francis Journals, vol. 5(2), pages 109-122.
  • Handle: RePEc:taf:eurjfi:v:5:y:1999:i:2:p:109-122
    DOI: 10.1080/135184799337127
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    References listed on IDEAS

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    1. 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.
    2. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    3. 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.
    4. James L. Hamilton, 1991. "The Dealer And Market Concepts Of Bid-Ask Spread: A Comparison For Nasdaq Stocks," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 14(2), pages 129-139, June.
    5. Ken Nyholm, 1997. "Estimation of the bid/ask spread on Danish stocks, an evaluation of Roll's estimator," Applied Financial Economics, Taylor & Francis Journals, vol. 7(6), pages 605-610.
    6. Hamilton, James L, 1991. "The Dealer and Market Concepts of Bid-Ask Spread: A Comparison for NASDAQ Stocks," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 14(2), pages 129-139, Summer.
    7. 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.
    8. Harris, Lawrence, 1990. "Statistical Properties of the Roll Serial Covariance Bid/Ask Spread Estimator," Journal of Finance, American Finance Association, vol. 45(2), pages 579-590, June.
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