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An unbiased variance estimator for overlapping returns

Author

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  • Pauline Bod
  • David Blitz
  • Philip Hans Franses
  • Roy Kluitman

Abstract

This paper gives an unbiased estimator of the variance of overlapping returns. The estimator improves upon that proposed in Lo and MacKinlay (1988) [LM] (which is widely used in practice), as the LM estimator is consistent but not unbiased in small samples. The relevance of unbiasedness for variance ratio tests in a simulation experiment is illustrated.

Suggested Citation

  • Pauline Bod & David Blitz & Philip Hans Franses & Roy Kluitman, 2002. "An unbiased variance estimator for overlapping returns," Applied Financial Economics, Taylor & Francis Journals, vol. 12(3), pages 155-158.
    • Handle: RePEc:taf:apfiec:v:12:y:2002:i:3:p:155-158
    DOI: 10.1080/09603100110090127
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    Cited by:

    1. Ming‐Chang Wang & Yu‐Jia Ding, 2021. "Does the quarterly accrual anomaly exist in Taiwan's stock market? Evidence from Manager's earnings management," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(3), pages 688-701, April.
    2. Roy Kluitman & Philip Hans Franses, 2002. "Estimating volatility on overlapping returns when returns are autocorrelated," Applied Mathematical Finance, Taylor & Francis Journals, vol. 9(3), pages 179-188.
    3. Stephen Taylor & Ming Fang, 2018. "Unbiased weighted variance and skewness estimators for overlapping returns," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 154(1), pages 1-8, December.

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