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Faculty of Economics

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Geraci, M. V. and Gnabo, J-Y.

Measuring Interconnectedness between Financial Institutions with Bayesian Time-Varying Vector Autoregressions

Journal of Financial and Quantitative Analysis

Vol. 53(3) pp. 1-20 (2018)

Abstract: We propose a market-based framework that exploits time-varying parameter vector autoregressions to estimate the dynamic network of financial spillover effects. We apply it to financials in the Standard & Poor’s 500 index and estimate interconnectedness at the sectoral and institutional levels. At the sectoral level, we uncover two main events in terms of interconnectedness: the Long-Term Capital Management crisis and the 2008 financial crisis. After these crisis events, we find a gradual decrease in interconnectedness, not observable using the classical rolling-window approach. At the institutional level, our framework delivers more stable interconnectedness rankings than other comparable market-based measures.

Author links: Marco Valerio Geraci  

Publisher's Link: https://doi.org/10.1017/S0022109018000108



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