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Dynamic Responses of Standard and Poor’s Regional Bank Index to the U.S. Fear Index, VIX

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  • Bahram Adrangi

    (Pamplin School of Business Administration, University of Portland, 5000 N. Willamette Blvd, Portland, OR 97203, USA)

  • Arjun Chatrath

    (Pamplin School of Business Administration, University of Portland, 5000 N. Willamette Blvd, Portland, OR 97203, USA)

  • Madhuparna Kolay

    (Pamplin School of Business Administration, University of Portland, 5000 N. Willamette Blvd, Portland, OR 97203, USA)

  • Kambiz Raffiee

    (Department of Economics, College of Business, University of Nevada, Reno, NV 89557, USA)

Abstract

This study examines the reaction of the Standard and Poor’s Regional Bank Index (SPRB) to the U.S. equity market fear index (i.e., the Chicago Board of Trade Volatility Index [VIX]). The VIX is designed to perform as a leading indicator of the volatility in equity markets. However, practitioners observe many periods of divergence between the VIX and S&P 500. Our paper examines the daily data for the period of 2009 through 2019. We show that once the effects of consumer confidence and capacity utilization are accounted for, there is a negative association between the VIX and regional bank performance.

Suggested Citation

  • Bahram Adrangi & Arjun Chatrath & Madhuparna Kolay & Kambiz Raffiee, 2021. "Dynamic Responses of Standard and Poor’s Regional Bank Index to the U.S. Fear Index, VIX," JRFM, MDPI, vol. 14(3), pages 1-18, March.
    • Handle: RePEc:gam:jjrfmx:v:14:y:2021:i:3:p:114-:d:513963
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    1. Galvao, Antonio F. & Gu, Jiaying & Volgushev, Stanislav, 2020. "On the unbiased asymptotic normality of quantile regression with fixed effects," Journal of Econometrics, Elsevier, vol. 218(1), pages 178-215.
    2. Mills,Terence C. & Markellos,Raphael N., 2008. "The Econometric Modelling of Financial Time Series," Cambridge Books, Cambridge University Press, number 9780521710091, October.
    3. Connolly, Robert & Stivers, Chris & Sun, Licheng, 2005. "Stock Market Uncertainty and the Stock-Bond Return Relation," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 40(1), pages 161-194, March.
    4. Bekaert, Geert & Hoerova, Marie, 2014. "The VIX, the variance premium and stock market volatility," Journal of Econometrics, Elsevier, vol. 183(2), pages 181-192.
    5. Powell, James L., 1984. "Least absolute deviations estimation for the censored regression model," Journal of Econometrics, Elsevier, vol. 25(3), pages 303-325, July.
    6. Siem Jan Koopman & Neil Shephard & Jurgen A. Doornik, 1999. "Statistical algorithms for models in state space using SsfPack 2.2," Econometrics Journal, Royal Economic Society, vol. 2(1), pages 107-160.
    7. Marco Neffelli & Marina Resta, 2018. "Is VIX still the investor fear gauge? Evidence for the US and BRIC markets," Papers 1806.07556, arXiv.org, revised Jul 2018.
    8. Bart Frijns & Christian Tallau & Alireza Tourani‐Rad, 2010. "The information content of implied volatility: Evidence from Australia," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 30(2), pages 134-155, February.
    9. David E. Rapach & Jack K. Strauss & Guofu Zhou, 2013. "International Stock Return Predictability: What Is the Role of the United States?," Journal of Finance, American Finance Association, vol. 68(4), pages 1633-1662, August.
    10. Bahram Adrangi & Hannah Baade & Kambiz Raffiee, 2019. "Dynamic Responses of the Economy to Monetary Shocks in the United Kingdom," Review of Economics & Finance, Better Advances Press, Canada, vol. 15, pages 31-45, February.
    11. Ghulam Sarwar & Walayet Khan, 2017. "The Effect of US Stock Market Uncertainty on Emerging Market Returns," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 53(8), pages 1796-1811, August.
    12. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    13. George Skiadopoulos, 2004. "The Greek implied volatility index: construction and properties," Applied Financial Economics, Taylor & Francis Journals, vol. 14(16), pages 1187-1196.
    14. Ihsan Ullah Badshah & Bart Frijns & Alireza Tourani‐Rad, 2013. "Contemporaneous Spill‐Over Among Equity, Gold, and Exchange Rate Implied Volatility Indices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 33(6), pages 555-572, June.
    15. Geraci, Marco, 2019. "Modelling and estimation of nonlinear quantile regression with clustered data," Computational Statistics & Data Analysis, Elsevier, vol. 136(C), pages 30-46.
    16. Charles J. Corrado & Thomas W. Miller, Jr., 2005. "The forecast quality of CBOE implied volatility indexes," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 25(4), pages 339-373, April.
    17. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    18. Mills,Terence C. & Markellos,Raphael N., 2008. "The Econometric Modelling of Financial Time Series," Cambridge Books, Cambridge University Press, number 9780521883818.
    19. Smales, L.A., 2016. "Risk-on/Risk-off: Financial market response to investor fear," Finance Research Letters, Elsevier, vol. 17(C), pages 125-134.
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