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Impact of idiosyncratic volatility on stock returns: A cross-sectional study

Author

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  • Serguey Khovansky
  • Zhylyevskyy, Oleksandr

Abstract

This paper proposes a new approach to estimate the idiosyncratic volatility premium. In contrast to the popular two-pass regression method, this approach relies on a novel GMM-type estimation procedure that uses only a single cross-section of return observations to obtain consistent estimates. Also, it enables a comparison of idiosyncratic volatility premia estimated using stock returns with different holding periods. The approach is empirically illustrated by applying it to daily, weekly, monthly, quarterly, and annual US stock return data over the course of 2000–2011. The results suggest that the idiosyncratic volatility premium tends to be positive on daily return data, but negative on monthly, quarterly, and annual data. They also indicate the presence of a January effect.

Suggested Citation

  • Serguey Khovansky & Zhylyevskyy, Oleksandr, 2013. "Impact of idiosyncratic volatility on stock returns: A cross-sectional study," Staff General Research Papers Archive 35915, Iowa State University, Department of Economics.
  • Handle: RePEc:isu:genres:35915
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    Cited by:

    1. Tariq Aziz & Valeed Ahmad Ansari, 2017. "Idiosyncratic volatility and stock returns: Indian evidence," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1420998-142, January.
    2. Hasan, Mostafa Monzur & Habib, Ahsan, 2017. "Firm life cycle and idiosyncratic volatility," International Review of Financial Analysis, Elsevier, vol. 50(C), pages 164-175.
    3. Stanislav Bozhkov & Habin Lee & Uthayasankar Sivarajah & Stella Despoudi & Monomita Nandy, 2020. "Idiosyncratic risk and the cross-section of stock returns: the role of mean-reverting idiosyncratic volatility," Annals of Operations Research, Springer, vol. 294(1), pages 419-452, November.
    4. Gan, Christopher & Nartea, Gilbert V. & Wu, Ji (George), 2018. "Predictive ability of low-frequency volatility measures: Evidence from the Hong Kong stock markets," Finance Research Letters, Elsevier, vol. 26(C), pages 40-46.
    5. Fabio Pizzutilo, 2017. "Measuring the under-diversification of socially responsible investments," Applied Economics Letters, Taylor & Francis Journals, vol. 24(14), pages 1005-1018, August.
    6. Czapkiewicz, Anna & Wójtowicz, Tomasz & Zaremba, Adam, 2023. "Idiosyncratic risk and cross-section of stock returns in emerging European markets," Economic Modelling, Elsevier, vol. 124(C).
    7. Serguey Khovansky, 2018. "Cross-Sectional Data with a Common Shock and Generalized Method of Moments," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 5(5), pages 151-152, March.
    8. Su, Zhi & Shu, Tengjia & Yin, Libo, 2018. "The pricing effect of the common pattern in firm-level idiosyncratic volatility: Evidence from A-Share stocks of China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 497(C), pages 218-235.
    9. Khovansky, Serguey & Zhylyevskyy, Oleksandr, 2017. "On the consistency of a cross-sectional GMM estimator in the presence of an observable stochastic common data shock," Statistics & Probability Letters, Elsevier, vol. 129(C), pages 196-202.
    10. Li, Xiao-Ming & Peng, Lu, 2017. "US economic policy uncertainty and co-movements between Chinese and US stock markets," Economic Modelling, Elsevier, vol. 61(C), pages 27-39.
    11. Xiang Zhang & Han Zhou, 2020. "Leverage structure and stock price synchronicity: Evidence from China," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-15, July.
    12. Brockman, Paul & Guo, Tao & Vivero, Maria Gabriela & Yu, Wayne, 2022. "Is idiosyncratic risk priced? The international evidence," Journal of Empirical Finance, Elsevier, vol. 66(C), pages 121-136.
    13. Cao, Jie & Han, Bing, 2016. "Idiosyncratic risk, costly arbitrage, and the cross-section of stock returns," Journal of Banking & Finance, Elsevier, vol. 73(C), pages 1-15.
    14. Xuan Vinh Vo, 2023. "Large Shareholders And Information Asymmetry In A Transition Economy €“ Evidence From Vietnam," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 68(05), pages 1551-1567, September.

    More about this item

    Keywords

    Idiosyncratic volatility; Idiosyncratic volatility premium; Cross-section of stock returns; Generalized method of moments;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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