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An Analysis between Implied and Realised Volatility in the Greek Derivative Market

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  • George Filis

    (George Filis, Senior Lecturer in Economics and Finance, University of Portsmouth, Portsmouth Business School, Department of Economics, UK. E-mail: George.Filis@port.ac.uk. Tel: 0044 (0) 2392844828.)

Abstract

In this article, we examine the relationship between implied and realised volatility in the Greek derivative market. We examine the differences between realised volatility and implied volatility of call and put options for at-the-money index options with a two-month expiration period. The findings provide evidence that implied volatility is not an efficient estimate of realised volatility. Implied volatility creates overpricing, for both call and put options, in the Greek market. This is an indication of inefficiency for the market. In addition, we find evidence that realised volatility ‘Granger causes’ implied volatility for call options, and implied volatility of call options ‘Granger causes’, the implied volatility of put options.

Suggested Citation

  • George Filis, 2009. "An Analysis between Implied and Realised Volatility in the Greek Derivative Market," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 8(3), pages 251-263, September.
    • Handle: RePEc:sae:emffin:v:8:y:2009:i:3:p:251-263
    DOI: 10.1177/097265270900800301
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    References listed on IDEAS

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    Cited by:

    1. Imlak Shaikh & Puja Padhi, 2013. "On the Linkages among Ex-ante and Ex-post Volatility: Evidence from NSE Options Market (India)," Global Business Review, International Management Institute, vol. 14(3), pages 487-505, September.
    2. Imlak Shaikh & Puja Padhi, 2015. "On the Relationship of Ex-ante and Ex-post Volatility: A Sub-period Analysis of S&P CNX Nifty Index Options," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 14(2), pages 140-175, August.
    3. Puja Padhi & Imlak Shaikh, 2014. "On the relationship of implied, realized and historical volatility: evidence from NSE equity index options," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 15(5), pages 915-934, November.
    4. Zhi Dong & Tien Foo Sing, 2021. "Do Investors Overreact for Property and Financial Service Sectors?," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 20(1), pages 79-123, April.

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    More about this item

    Keywords

    JEL Classification: C22; JEL Classification: C32; JEL Classification: G10; Implied volatility; realised volatility; Athens derivatives exchange; Granger causality;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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