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The role of data limitations, seasonality and frequency in asset pricing models

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  • Murtazashvili, Irina
  • Vozlyublennaia, Nadia
Abstract
We demonstrate that the estimates of the Capital Asset Pricing Model (CAPM) parameters significantly differ across samples, which are based on different days of the week (representing different seasons). Our evidence suggests that the “noise” in the data is not an issue. We also show that parameter differences for mixed samples, which contain information on different seasons, are too small to distort statistical analysis. This is so because parameter estimates converge to some values (but not necessarily to the true values) for high frequencies or as the sample size becomes large. Our evidence suggests a possibility that the CAPM may hold empirically if seasonality in the parameters of the population model are taken into consideration.

Suggested Citation

  • Murtazashvili, Irina & Vozlyublennaia, Nadia, 2012. "The role of data limitations, seasonality and frequency in asset pricing models," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(3), pages 555-574.
    • Handle: RePEc:eee:intfin:v:22:y:2012:i:3:p:555-574
    DOI: 10.1016/j.intfin.2011.12.001
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    References listed on IDEAS

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    Cited by:

    1. Chui, David & Wing Cheng, Wui & Chi Chow, Sheung & LI, Ya, 2020. "Eastern Halloween effect: A stochastic dominance approach," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 68(C).

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    More about this item

    Keywords

    CAPM parameters; Seasonality; Frequency;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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