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A Wavelet-based MRA-EDCC-GARCH Methodology for the Detection of News and Volatility Spillover across Sectoral Indices—Evidence from the Indian Financial Market

Author

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  • Anindya Chakrabarty
  • Anupam De
  • Gautam Bandyopadhyay

Abstract

The article studies the nature and direction of shock and volatility transmission among the nine non-overlapping sectoral indices of Bombay Stock Exchange (BSE) across eight different scales (from 2–4 days to 1–2 years) using a newly developed wavelet-based multi-resolution–extended dynamic conditional correlation GARCH (MRA–EDCC GARCH) model and compared the results with that of the traditional vector-auto regression–extended dynamic conditional correlation GARCH (VAR–EDCC GARCH) model. The study reveals that the volatility interaction is scale dependent. Significant variation in the magnitude and direction of the spillover incidences are observed between the results of the two models which elucidates that the traditional VAR–EDCC GARCH model may not be sufficient in unlocking the complex pattern of volatility interaction and the multiscale analysis can be further used to extract the hidden information. Shock spillover incidences are found to decrease with scale while the volatility spillover is found to vary both in magnitude and direction across scales. Previous literatures have established that volatility interaction among financial assets can be leveraged successfully in designing trading strategies that generates better results in comparison to the trading strategies that does not employ volatility interactions in their model. Given the findings that the magnitude and direction of volatility interaction changes with the change in investment horizon, it can be concluded that a strategy calibrated for short-term traders may not be optimal for long-term traders and vice versa.

Suggested Citation

  • Anindya Chakrabarty & Anupam De & Gautam Bandyopadhyay, 2015. "A Wavelet-based MRA-EDCC-GARCH Methodology for the Detection of News and Volatility Spillover across Sectoral Indices—Evidence from the Indian Financial Market," Global Business Review, International Management Institute, vol. 16(1), pages 35-49, February.
    • Handle: RePEc:sae:globus:v:16:y:2015:i:1:p:35-49
    DOI: 10.1177/0972150914553506
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    References listed on IDEAS

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    1. Richard D. F. Harris & Anirut Pisedtasalasai, 2006. "Return and Volatility Spillovers Between Large and Small Stocks in the UK," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 33(9‐10), pages 1556-1571, November.
    2. He, Changli & Teräsvirta, Timo, 2004. "An Extended Constant Conditional Correlation Garch Model And Its Fourth-Moment Structure," Econometric Theory, Cambridge University Press, vol. 20(5), pages 904-926, October.
    3. Huang, Shian-Chang, 2011. "Wavelet-based multi-resolution GARCH model for financial spillover effects," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(11), pages 2529-2539.
    4. Rua, António & Nunes, Luís C., 2009. "International comovement of stock market returns: A wavelet analysis," Journal of Empirical Finance, Elsevier, vol. 16(4), pages 632-639, September.
    5. Gençay, Ramazan & Selçuk, Faruk & Whitcher, Brandon, 2001. "Scaling properties of foreign exchange volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 289(1), pages 249-266.
    6. Richard D. F. Harris & Anirut Pisedtasalasai, 2006. "Return and Volatility Spillovers Between Large and Small Stocks in the UK," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 33(9‐10), pages 1556-1571, November.
    7. Candelon, Bertrand & Piplack, Jan & Straetmans, Stefan, 2008. "On measuring synchronization of bulls and bears: The case of East Asia," Journal of Banking & Finance, Elsevier, vol. 32(6), pages 1022-1035, June.
    8. Viviana Fernandez, 2005. "Time-Scale Decomposition of Price Transmission in International Markets," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 41(4), pages 57-90, August.
    9. Angel Pardo & Hipòlit Torró, 2007. "Trading with Asymmetric Volatility Spillovers," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 34(9‐10), pages 1548-1568, November.
    10. Tomoaki Nakatani & Timo Terasvirta, 2009. "Testing for volatility interactions in the Constant Conditional Correlation GARCH model," Econometrics Journal, Royal Economic Society, vol. 12(1), pages 147-163, March.
    11. Luc Bauwens & Sébastien Laurent & Jeroen V. K. Rombouts, 2006. "Multivariate GARCH models: a survey," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(1), pages 79-109, January.
    12. Marco GALLEGATI, 2001. "A Wavelet Analysis of MENA stock markets," Middle East and North Africa 330400031, EcoMod.
    13. Mara Madaleno & Carlos Pinho, 2012. "International stock market indices comovements: a new look," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 17(1), pages 89-102, January.
    14. Hahn Shik Lee, 2004. "International transmission of stock market movements: a wavelet analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 11(3), pages 197-201.
    15. Jian Zhou, 2012. "Multiscale Analysis of International Linkages of REIT Returns and Volatilities," The Journal of Real Estate Finance and Economics, Springer, vol. 45(4), pages 1062-1087, November.
    16. Hafner, Christian M. & Herwartz, Helmut, 2006. "A Lagrange multiplier test for causality in variance," Economics Letters, Elsevier, vol. 93(1), pages 137-141, October.
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