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

Extreme risk spillover network: application to financial institutions

Using the CAViaR tool to estimate the value-at-risk (VaR) and the Granger causality risk test to quantify extreme risk spillovers, we propose an extreme risk spillover network for analysing the interconnectedness across financial institutions. We construct extreme risk spillover networks at 1% and 5% risk levels (which we denote 1% and 5% VaR networks) based on the daily returns of 84 publicly ...

Research on Spillover Effects in Financial Risk

The research on spillover effect in financial markets is frontier theory and technology. The global financial crisis of 2007-2009 affects the stock markets deeply. But, the economic consequences are different among some cross-markets. As an emerging high-speed growth securities market established in 1990, the Chinese securities market has developed significantly. Again in the current internatio...

Testing the Sensitivity of Spillover Effects Across Financial Markets

Although market interdependence would seem to be conceptually straightforward, being based on international fundamentals, there are no generally accepted testing strategies. This paper tests for the sensitivity of the empirical results reported in Veiga and McAleer (2004), who use the vector autoregressive moving average asymmetric generalised autoregressive conditional heteroskedasticity (VARM...

Nonparametric Inference of Value at Risk for Dependent Financial Returns

The paper considers nonparametric estimation of Value at Risk (VaR) and associated standard error estimation for dependent financial returns. Theoretical properties of the kernel VaR estimator are investigated in the context of dependence. The presence of dependence affects the variance of the VaR estimates and has to be taken into consideration in order to obtain adequate assessment of their v...

Risk Measurement for Financial Institutions