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Dynamics and causality in industry-specific volatility

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  • Wang, Zijun

Abstract

This paper presents comprehensive empirical evidence on the dynamics and causality within 30 US industry-specific volatilities during July 1963 and June 2008. We find that linear trends are present in 17 of the 30 industry volatilities. Granger-causality tests reveal that the industry of business supplies and the industry of finance are the most important lead indicators of industry volatilities. To uncover contemporaneous causal relationships in the market, we implement an emerging data-driven method of directed acyclic graphs. The results suggest that volatility shocks originating from business supplies, machinery, and consumer goods industries are sources of risks that affect most other industries. By contrast, volatilities in the two traditionally important industries, oil and autos, do not appear to have a substantial influence on other large industries in the contemporaneous time. Finally, business equipment and services, both containing information technology components, are the most important driving forces of the industry volatility surge in the late 1990s.

Suggested Citation

  • Wang, Zijun, 2010. "Dynamics and causality in industry-specific volatility," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1688-1699, July.
  • Handle: RePEc:eee:jbfina:v:34:y:2010:i:7:p:1688-1699
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    Cited by:

    1. Gao, Bo & Ren, Ruo-en, 2013. "The topology of a causal network for the Chinese financial system," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(13), pages 2965-2976.
    2. Linh Xuan Diep Nguyen & Simona Mateut & Thanaset Chevapatrakul, 2016. "Business-Linkage Volatility Spillover between US Industries," Discussion Papers 2016/05, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    3. Bernard Ben Sita, 2013. "Volatility links between US industries," Applied Financial Economics, Taylor & Francis Journals, vol. 23(15), pages 1273-1286, August.
    4. Chiu, Wan-Chien & Wang, Chih-Wei & Peña, Juan Ignacio, 2016. "Tail risk spillovers and corporate cash holdings," Journal of Multinational Financial Management, Elsevier, vol. 36(C), pages 30-48.
    5. Chiu, Wan-Chien & Peña, Juan Ignacio & Wang, Chih-Wei, 2015. "Industry characteristics and financial risk contagion," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 411-427.
    6. Sohel Azad, A.S.M. & Batten, Jonathan A. & Fang, Victor & Wickramanayake, Jayasinghe, 2015. "International swap market contagion and volatility," Economic Modelling, Elsevier, vol. 47(C), pages 355-371.
    7. Rubin, Amir & Smith, Daniel R., 2011. "Comparing different explanations of the volatility trend," Journal of Banking & Finance, Elsevier, vol. 35(6), pages 1581-1597, June.
    8. Mateus, Cesario & Chinthalapati, Raju & Mateus, Irina B., 2017. "Intraday industry-specific spillover effect in European equity markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 63(C), pages 278-298.

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