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Spillover Effects among Financial Institutions: A State-Dependent Sensitivity Value-at-Risk Approach

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  • Adams, Zeno
  • Füss, Roland
  • Gropp, Reint

Abstract

In this paper, we develop a state-dependent sensitivity value-at-risk (SDSVaR) approach that enables us to quantify the direction, size, and duration of risk spillovers among financial institutions as a function of the state of financial markets (tranquil, normal, and volatile). For four sets of major financial institutions (commercial banks, investment banks, hedge funds, and insurance companies), we show that while small during normal times, equivalent shocks lead to considerable spillover effects in volatile market periods. Commercial banks and, especially, hedge funds appear to play a major role in the transmission of shocks to other financial institutions.

Suggested Citation

  • Adams, Zeno & Füss, Roland & Gropp, Reint, 2014. "Spillover Effects among Financial Institutions: A State-Dependent Sensitivity Value-at-Risk Approach," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 49(3), pages 575-598, June.
    • Handle: RePEc:cup:jfinqa:v:49:y:2014:i:03:p:575-598_00
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    1. King, Michael R. & Maier, Philipp, 2009. "Hedge funds and financial stability: Regulating prime brokers will mitigate systemic risks," Journal of Financial Stability, Elsevier, vol. 5(3), pages 283-297, September.
    2. Acharya, Viral V., 2009. "A theory of systemic risk and design of prudential bank regulation," Journal of Financial Stability, Elsevier, vol. 5(3), pages 224-255, September.
    3. Jeremy Berkowitz & James O'Brien, 2002. "How Accurate Are Value‐at‐Risk Models at Commercial Banks?," Journal of Finance, American Finance Association, vol. 57(3), pages 1093-1111, June.
    4. Markus K. Brunnermeier & Lasse Heje Pedersen, 2009. "Market Liquidity and Funding Liquidity," The Review of Financial Studies, Society for Financial Studies, vol. 22(6), pages 2201-2238, June.
    5. Shleifer, Andrei & Vishny, Robert W., 2010. "Unstable banking," Journal of Financial Economics, Elsevier, vol. 97(3), pages 306-318, September.
    6. Fenn, George W. & Cole, Rebel A., 1994. "Announcements of asset-quality problems and contagion effects in the life insurance industry," Journal of Financial Economics, Elsevier, vol. 35(2), pages 181-198, April.
    7. Billio, Monica & Getmansky, Mila & Lo, Andrew W. & Pelizzon, Loriana, 2012. "Econometric measures of connectedness and systemic risk in the finance and insurance sectors," Journal of Financial Economics, Elsevier, vol. 104(3), pages 535-559.
    8. Markus K. Brunnermeier, 2008. "Deciphering the Liquidity and Credit Crunch 2007-08," NBER Working Papers 14612, National Bureau of Economic Research, Inc.
    9. Lorenzo Cappiello & Bruno Gérard & Arjan Kadareja & Simone Manganelli, 2014. "Measuring Comovements by Regression Quantiles," Journal of Financial Econometrics, Oxford University Press, vol. 12(4), pages 645-678.
    10. Robert F. Engle & Simone Manganelli, 2004. "CAViaR: Conditional Autoregressive Value at Risk by Regression Quantiles," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 367-381, October.
    11. Reint Gropp & Marco Lo Duca & Jukka Vesala, 2009. "Cross-Border Bank Contagion in Europe," International Journal of Central Banking, International Journal of Central Banking, vol. 5(1), pages 97-139, March.
    12. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521845731, September.
    13. Danielsson, Jon & Taylor, Ashley & Zigrand, Jean-Pierre, 2005. "Highwaymen or heroes: Should hedge funds be regulated?: A survey," Journal of Financial Stability, Elsevier, vol. 1(4), pages 522-543, October.
    14. Loriana Pelizzon & Monica Billio & Mila Getmansky, 2008. "Crisis and Hedge Fund Risk," Working Papers 2008_10, Department of Economics, University of Venice "Ca' Foscari".
    15. Hott, Christian, 2009. "Herding behavior in asset markets," Journal of Financial Stability, Elsevier, vol. 5(1), pages 35-56, January.
    16. Campello, Murillo & Graham, John R. & Harvey, Campbell R., 2010. "The real effects of financial constraints: Evidence from a financial crisis," Journal of Financial Economics, Elsevier, vol. 97(3), pages 470-487, September.
    17. White, Halbert & Kim, Tae-Hwan & Manganelli, Simone, 2010. "VAR for VaR: measuring systemic risk using multivariate regression quantiles," MPRA Paper 35372, University Library of Munich, Germany.
    18. Powell, James L, 1983. "The Asymptotic Normality of Two-Stage Least Absolute Deviations Estimators," Econometrica, Econometric Society, vol. 51(5), pages 1569-1575, September.
    19. Danielsson, Jon & Taylor, Ashley & Zigrand, Jean-Pierre, 2004. "Highwaymen or heroes: should hedge funds be regulated?," LSE Research Online Documents on Economics 24782, London School of Economics and Political Science, LSE Library.
    20. Klaus, Benjamin & Rzepkowski, Bronka, 2009. "Risk spillover among hedge funds: The role of redemptions and fund failures," Working Paper Series 1112, European Central Bank.
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    More about this item

    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage

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