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Alternative beta risk estimators in cases of extreme thin trading: Canadian evidence

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  • Robert Brooks
  • Robert Faff
  • Tim Fry
  • E. Bissoondoyal-Bheenick

Abstract

In this paper, an alternative method of estimating the systematic risk for Canadian stocks is presented and empirically investigated. The method proposed is applied to a set of data impacted by censoring - the presence of zero returns, which occurs in extreme cases of thin trading. The approach used is the sample selectivity model, which is a two-step procedure: with a selectivity component and a regression component. In addition, this study compares the new beta estimate to the standard OLS beta and the Dimson Beta. The results indicate that the selectivity-corrected beta does correct the downward bias of the OLS estimates and possesses desirable statistical properties.

Suggested Citation

  • Robert Brooks & Robert Faff & Tim Fry & E. Bissoondoyal-Bheenick, 2005. "Alternative beta risk estimators in cases of extreme thin trading: Canadian evidence," Applied Financial Economics, Taylor & Francis Journals, vol. 15(18), pages 1251-1258.
    • Handle: RePEc:taf:apfiec:v:15:y:2005:i:18:p:1251-1258
    DOI: 10.1080/09603100500396585
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    References listed on IDEAS

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    2. Jose Fernandes & Augusto Hasman & Juan Ignacio Pena, 2007. "Risk premium: insights over the threshold," Applied Financial Economics, Taylor & Francis Journals, vol. 18(1), pages 41-59.
    3. Khoury, Nabil & Perrakis, Stylianos & Savor, Marko, 2011. "Competition, interlisting and market structure in options trading," Journal of Banking & Finance, Elsevier, vol. 35(1), pages 104-117, January.
    4. Iqbal, Javed & Brooks, Robert, 2007. "Alternative beta risk estimators and asset pricing tests in emerging markets: The case of Pakistan," Journal of Multinational Financial Management, Elsevier, vol. 17(1), pages 75-93, February.
    5. Economou, Fotini & Gavriilidis, Konstantinos & Goyal, Abhinav & Kallinterakis, Vasileios, 2015. "Herding dynamics in exchange groups: Evidence from Euronext," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 34(C), pages 228-244.

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