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Trading with Asymmetric Volatility Spillovers

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  • Angel Pardo
  • Hipòlit Torró

Abstract

We study the profitability of trading strategies based on volatility spillovers between large and small firms. By using the Volatility Impulse-Response Function of Lin (1997) and its extensions, we detect that any volatility shock coming from small companies is important to large companies, but the reverse is only true for negative shocks coming from large firms. To exploit these asymmetric patterns in volatility, different trading rules are designed based on the inverse relationship existing between expected return and volatility. We find that most strategies generate excess after-transaction cost profits, especially after "very bad news" and "very good news" coming from large or small firm markets. These results are of special interest because of their implications for risk and portfolio management. Copyright 2007 The Authors Journal compilation (c) 2007 Blackwell Publishing Ltd.

Suggested Citation

  • Angel Pardo & Hipòlit Torró, 2007. "Trading with Asymmetric Volatility Spillovers," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 34(9-10), pages 1548-1568.
  • Handle: RePEc:bla:jbfnac:v:34:y:2007-11:i:9-10:p:1548-1568
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    File URL: http://www.blackwell-synergy.com/doi/abs/10.1111/j.1468-5957.2007.02029.x
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    References listed on IDEAS

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    1. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
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    Cited by:

    1. Angelidis, Timotheos & Andrikopoulos, Andreas, 2010. "Idiosyncratic risk, returns and liquidity in the London Stock Exchange: A spillover approach," International Review of Financial Analysis, Elsevier, vol. 19(3), pages 214-221, June.
    2. Milunovich, George & Thorp, Susan, 2006. "Valuing volatility spillovers," Global Finance Journal, Elsevier, vol. 17(1), pages 1-22, September.
    3. Helena Chuliá & Hipòlit Torró, 2008. "The economic value of volatility transmission between the stock and bond markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 28(11), pages 1066-1094, November.
    4. Sinem Derindere KOSEOGLU & Emrah Ismail CEVIK, 2013. "Testing for Causality in Mean and Variance between the Stock Market and the Foreign Exchange Market: An Application to the Major Central and Eastern European Countries," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 63(1), pages 65-86, March.
    5. Mahmod Qadan & Joseph Yagil, 2012. "Fear sentiments and gold price: testing causality in-mean and in-variance," Applied Economics Letters, Taylor & Francis Journals, vol. 19(4), pages 363-366, March.
    6. Okur, Mustafa & Cevik, Emrah Ismail, 2013. "Testing intraday volatility spillovers in Turkish capital markets: evidence from ISE," MPRA Paper 71477, University Library of Munich, Germany, revised 2013.
    7. Jullavut Kittiakarasakun & Yiuman Tse & George H.K. Wang, 2012. "The impact of trades by traders on asymmetric volatility for Nasdaq-100 index futures," Managerial Finance, Emerald Group Publishing, vol. 38(8), pages 752-767, June.
    8. repec:eee:reveco:v:49:y:2017:i:c:p:149-167 is not listed on IDEAS
    9. repec:eee:intfor:v:33:y:2017:i:4:p:1105-1123 is not listed on IDEAS

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