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Jumps beyond the realms of cricket: India's performance in One Day Internationals and stock market movements

Author

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  • Konstantinos Gkillas
  • Rangan Gupta
  • Chi Keung Marco Lau
  • Muhammad Tahir Suleman

Abstract

We examine the impact of the Indian cricket team's performance in one-day international cricket matches on return, realized volatility and jumps of the Indian stock market, based on intraday data covering the period of 30th October, 2006 to 31st March, 2017. Using a nonparametric causality-in-quantiles test, we were able to detect evidence of predictability from wins or losses for primarily volatility and jumps, especially over the lower-quantiles of the conditional distributions, with losses having stronger predictability than wins. However, the impact on the stock return is weak and restricted towards the upper end of the conditional distribution.

Suggested Citation

  • Konstantinos Gkillas & Rangan Gupta & Chi Keung Marco Lau & Muhammad Tahir Suleman, 2020. "Jumps beyond the realms of cricket: India's performance in One Day Internationals and stock market movements," Journal of Applied Statistics, Taylor & Francis Journals, vol. 47(6), pages 1109-1127, April.
  • Handle: RePEc:taf:japsta:v:47:y:2020:i:6:p:1109-1127
    DOI: 10.1080/02664763.2019.1663157
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    File URL: http://hdl.handle.net/10.1080/02664763.2019.1663157
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    Cited by:

    1. Christos Floros & Konstantinos Gkillas & Christoforos Konstantatos & Athanasios Tsagkanos, 2020. "Realized Measures to Explain Volatility Changes over Time," Journal of Risk and Financial Management, MDPI, Open Access Journal, vol. 13(6), pages 1-19, June.

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    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G1 - Financial Economics - - General Financial Markets

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