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A semiparametric conditional duration model

Author

Listed:
  • Dungey, Mardi
  • Long, Xiangdong
  • Ullah, Aman
  • Wang, Yun

Abstract

We propose a new semiparametric autoregressive duration (SACD) model, which incorporates the parametric and nonparametric estimators of the conditional duration in a multiplicative way. Asymptotic properties for this combined estimator are presented. The empirical application to the transaction duration of the US 2-Year Treasury note shows the outperformance of our SACD models over parametric ACD models.

Suggested Citation

  • Dungey, Mardi & Long, Xiangdong & Ullah, Aman & Wang, Yun, 2014. "A semiparametric conditional duration model," Economics Letters, Elsevier, vol. 124(3), pages 362-366.
    • Handle: RePEc:eee:ecolet:v:124:y:2014:i:3:p:362-366
    DOI: 10.1016/j.econlet.2014.06.013
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    1. Madhavan, Ananth, 2000. "Market microstructure: A survey," Journal of Financial Markets, Elsevier, vol. 3(3), pages 205-258, August.
    2. Robert F. Engle & Jeffrey R. Russell, 1998. "Autoregressive Conditional Duration: A New Model for Irregularly Spaced Transaction Data," Econometrica, Econometric Society, vol. 66(5), pages 1127-1162, September.
    3. Mardi Dungey & Olan Henry & Michael Mckenzie, 2013. "Modeling trade duration in U.S. Treasury markets," Quantitative Finance, Taylor & Francis Journals, vol. 13(9), pages 1431-1442, September.
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    6. Goodhart, Charles A. E. & O'Hara, Maureen, 1997. "High frequency data in financial markets: Issues and applications," Journal of Empirical Finance, Elsevier, vol. 4(2-3), pages 73-114, June.
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    More about this item

    Keywords

    Duration; Nonparametric estimator; Semiparametric model;
    All these keywords.

    JEL classification:

    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • G0 - Financial Economics - - General

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