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The Introduction of Derivatives on the Dow Jones Industrial Average and Their Impact on the Volatility of Component Stocks

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  • Shafiqur Rahman

Abstract

This article examines the impact of trading in the Dow Jones Industrial Average (DJIA) index futures and futures options on the conditional volatility of component stocks. It investigates the contention that the introduction of futures and futures options on the DJIA could increase volatility in the 30 stocks comprising the DJIA. The conditional volatility of intraday returns for each stock before and after the introduction of derivatives is estimated with the Generalized Autoregressive Conditional Heteroscedasticity (GARCH) model. Estimated parameters of conditional volatility in prefutures and postfutures periods are then compared to determine if the estimated parameters have changed significantly after the introduction of the various derivatives. The results suggest that the introduction of index futures and futures options on the DJIA has produced no structural changes in the conditional volatility of component stocks. © 2001 John Wiley & Sons, Inc. Jrl Fut Mark 21: 633–653, 2001

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  • Shafiqur Rahman, 2001. "The Introduction of Derivatives on the Dow Jones Industrial Average and Their Impact on the Volatility of Component Stocks," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 21(7), pages 633-653, July.
    • Handle: RePEc:wly:jfutmk:v:21:y:2001:i:7:p:633-653
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    Cited by:

    1. Bohl, Martin T. & Diesteldorf, Jeanne & Siklos, Pierre L., 2015. "The effect of index futures trading on volatility: Three markets for Chinese stocks," China Economic Review, Elsevier, vol. 34(C), pages 207-224.
    2. Md. Mohibul Islam & Anisul M. Islam, 2017. "Impact of Index Options on Emerging Market Volatility: The Case of the Malaysian Equity Market," International Journal of Economics and Financial Research, Academic Research Publishing Group, vol. 3(9), pages 157-15-172, 09-2017.
    3. Loc Dong Truong & Anh Thi Kim Nguyen & Dut Van Vo, 2021. "Index Future Trading and Spot Market Volatility in Frontier Markets: Evidence from Ho Chi Minh Stock Exchange," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(3), pages 353-366, September.
    4. Frankie Chau & Phil Holmes & Krishna Paudyal, 2008. "The Impact of Universal Stock Futures on Feedback Trading and Volatility Dynamics," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 35(1‐2), pages 227-249, January.
    5. Rasekhi , Saeed & Nabavi , Nasim, 2019. "The Effect of Derivative Instruments on the Contagion of Stock Markets in Developing Countries," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 14(4), pages 475-494, October.
    6. Felix Kubler & Karl Schmedders, 2012. "Financial Innovation and Asset Price Volatility," American Economic Review, American Economic Association, vol. 102(3), pages 147-151, May.
    7. Alejandro Bernales & Thanos Verousis & Nikolaos Voukelatos & Mengyu Zhang, 2020. "What do we know about individual equity options?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(1), pages 67-91, January.
    8. Hao, Jing & He, Feng & Liu-Chen, Baiao & Li, Zihe, 2021. "Price discovery and its determinants for the Chinese soybean options and futures markets," Finance Research Letters, Elsevier, vol. 40(C).
    9. Wang, Lu & Zhao, Chenchen & Liang, Chao & Jiu, Song, 2022. "Predicting the volatility of China's new energy stock market: Deep insight from the realized EGARCH-MIDAS model," Finance Research Letters, Elsevier, vol. 48(C).

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