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Does Idiosyncratic Volatility Matter? New Zealand Evidence

Author

Listed:
  • Michael E. Drew

    (School of Economics and Finance, Queensland University of Technology, GPO Box 2434, Brisbane, Queensland 4001, Australia)

  • Alastair Marsden

    (Department of Accounting and Finance, The University of Auckland Business School, Private Bag 92019, Auckland, New Zealand)

  • Madhu Veeraraghavan

    (Department of Accounting and Finance, Monash University, Clayton Campus, Victoria 3800, Melbourne, Australia)

Abstract

Standard asset pricing models ignore idiosyncratic risk. In this study, we examine if idiosyncratic or unique risk affects returns for New Zealand stocks using the factor portfolio mimicking approach of Fama and French (1993, 1996). We find evidence of a negative relationship between firm size and a stock's idiosyncratic volatility. We also find that high idiosyncratic volatility firms have high betas and generate low earnings on book equity.

Suggested Citation

  • Michael E. Drew & Alastair Marsden & Madhu Veeraraghavan, 2007. "Does Idiosyncratic Volatility Matter? New Zealand Evidence," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 10(03), pages 289-308.
    • Handle: RePEc:wsi:rpbfmp:v:10:y:2007:i:03:n:s0219091507001070
    DOI: 10.1142/S0219091507001070
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    References listed on IDEAS

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    1. Michael Ewens & Charles M. Jones & Matthew Rhodes-Kropf, 2013. "The Price of Diversifiable Risk in Venture Capital and Private Equity," The Review of Financial Studies, Society for Financial Studies, vol. 26(8), pages 1854-1889.
    2. Yasushi Hamao & Jianping Mei & Yexiao Xu, 2003. "Idiosyncratic Risk and the Creative Destruction in Japan," NBER Working Papers 9642, National Bureau of Economic Research, Inc.
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    Citations

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    Cited by:

    1. Moonsoo Kang & Kiseok Nam, 2015. "Informed trade and idiosyncratic return variation," Review of Quantitative Finance and Accounting, Springer, vol. 44(3), pages 551-572, April.
    2. Tienyu Hwang & Simon Gao & Heather Owen, 2014. "Markowitz efficiency and size effect: evidence from the UK stock market," Review of Quantitative Finance and Accounting, Springer, vol. 43(4), pages 721-750, November.
    3. Harnchai Eng-Uthaiwat, 2018. "Stock market return predictability: Does network topology matter?," Review of Quantitative Finance and Accounting, Springer, vol. 51(2), pages 433-460, August.
    4. Angelos Kanas, 2014. "Uncovering a positive risk-return relation: the role of implied volatility index," Review of Quantitative Finance and Accounting, Springer, vol. 42(1), pages 159-170, January.
    5. M. Rahman & M. Hassan, 2013. "Firm fundamentals and stock prices in emerging Asian stock markets: some panel data evidence," Review of Quantitative Finance and Accounting, Springer, vol. 41(3), pages 463-487, October.
    6. Moinak Maiti, 2019. "Is idiosyncratic risk ignored in asset pricing: Sri Lankan evidence?," Future Business Journal, Springer, vol. 5(1), pages 1-12, December.
    7. Bin Liu & Monica Tan & Marie-Anne Cam, 2019. "Reinvestigate the Bid–Ask Bounce Effect and Pricing of Idiosyncratic Volatility: The Case of the Australian Market," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 22(01), pages 1-23, March.

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    More about this item

    Keywords

    Idiosyncratic volatility; asset pricing; unique risk; JEL Classification: G120; JEL Classification: G150;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G2 - Financial Economics - - Financial Institutions and Services
    • G3 - Financial Economics - - Corporate Finance and Governance

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