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Comparison of efficiency characteristics between the banking sectors of US and UK during the global financial crisis of 2007–2011

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  • Choudhry, Taufiq
  • Jayasekera, Ranadeva

Abstract

This paper investigates the effect of bad or good news (asymmetric effect) on the time-varying betas of firms in the banking industries of the UK and the US during good periods (booms) and bad periods (recessions). Daily data from eleven UK and US firms of different sizes from the banking industries are applied in the empirical tests. The data ranges from 2004 to 2011, which includes the global financial crisis of 2007–2011. The time-varying betas are created by means of the bivariate BEKK GARCH model and then linear regressions are applied to test for the asymmetric effect of news on the beta. The asymmetric effects are investigated based on both market and non-market shocks. We find that most banks in the UK and the US seem to support the market efficiency hypothesis during both periods. The level of market efficiency however seems to decline significantly from the pre-crisis to the crisis period. These results shed light on the level of market efficiency and hedging strategies.

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  • Choudhry, Taufiq & Jayasekera, Ranadeva, 2012. "Comparison of efficiency characteristics between the banking sectors of US and UK during the global financial crisis of 2007–2011," International Review of Financial Analysis, Elsevier, vol. 25(C), pages 106-116.
    • Handle: RePEc:eee:finana:v:25:y:2012:i:c:p:106-116
    DOI: 10.1016/j.irfa.2012.09.002
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    Cited by:

    1. Choudhry, Taufiq & Jayasekera, Ranadeva, 2014. "Returns and volatility spillover in the European banking industry during global financial crisis: Flight to perceived quality or contagion?," International Review of Financial Analysis, Elsevier, vol. 36(C), pages 36-45.
    2. Amine Ben Amar & Ikrame Ben Slimane & Makram Bellalah, 2017. "Are Non-Conventional Banks More Resilient than Conventional Ones to Financial Crisis?," Working Papers hal-01455752, HAL.
    3. Antonios K. Alexandridis & Mohammad S. Hasan, 2020. "Global financial crisis and multiscale systematic risk: Evidence from selected European stock markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(4), pages 518-546, October.
    4. Nobi, Ashadun & Alam, Shafiqul & Lee, Jae Woo, 2017. "Dynamic of consumer groups and response of commodity markets by principal component analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 337-344.
    5. Taufiq Choudhry & Ranadeva Jayasekera, 2015. "Level of efficiency in the UK equity market: empirical study of the effects of the global financial crisis," Review of Quantitative Finance and Accounting, Springer, vol. 44(2), pages 213-242, February.
    6. Wang, Ze & Gao, Xiangyun & An, Haizhong & Tang, Renwu & Sun, Qingru, 2020. "Identifying influential energy stocks based on spillover network," International Review of Financial Analysis, Elsevier, vol. 68(C).
    7. Choudhry, Taufiq & Jayasekera, Ranadeva, 2014. "Market efficiency during the global financial crisis: Empirical evidence from European banks," Journal of International Money and Finance, Elsevier, vol. 49(PB), pages 299-318.
    8. de Resende, Charlene C. & Pereira, Adriano C.M. & Cardoso, Rodrigo T.N. & de Magalhães, A.R. Bosco, 2017. "Investigating market efficiency through a forecasting model based on differential equations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 474(C), pages 199-212.
    9. Nobi, Ashadun & Maeng, Seong Eun & Ha, Gyeong Gyun & Lee, Jae Woo, 2014. "Effects of global financial crisis on network structure in a local stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 407(C), pages 135-143.

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    Keywords

    Asymmetric effect; Time-varying beta; BEKK; Market efficiency; Asset mispricing;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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