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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 sector and institution level. At the...
Persistent link: https://www.econbiz.de/10012936644
This paper extends the extreme downside correlation (EDC) and extreme downside hedge (EDH) methodology to model the interdependence in the sensitivity of assets to the downside risk of other financial assets under severe firm-level and market conditions. The model is applied to analyze both...
Persistent link: https://www.econbiz.de/10012293248
In recent years fractionally differenced processes have received a great deal of attention due to its flexibility in financial applications with long memory. This paper considers a class of models generated by Gegenbauer polynomials, incorporating the long memory in stochastic volatility (SV)...
Persistent link: https://www.econbiz.de/10011526121
Regarding the asymmetric and leptokurtic behavior of financial data, we propose a new contagion test in the quantile … contagion test allows us to investigate the stock market contagion at various quantiles, not only at the mean. We show that the … quantile contagion test can detect a contagion effect that is possibly ignored by correlation-based tests. A wide range of …
Persistent link: https://www.econbiz.de/10010504111
Regarding the asymmetric and leptokurtic behavior of financial data, we propose a new contagion test in the quantile … contagion test allows us to investigate the stock market contagion at various quantiles, not only at the mean. We show that the … quantile contagion test can detect a contagion effect that is possibly ignored by correlation-based tests. A wide range of …
Persistent link: https://www.econbiz.de/10013025474
We study the relationship between conditional quantiles of returns and the long-, medium- and short-term volatility in a portfolio of financial assets. We argue that the combination of quantile panel regression and wavelet decomposition of the volatility time series provides us with new insights...
Persistent link: https://www.econbiz.de/10011722181
We examine how extreme market risks are priced in the cross-section of asset returns at various horizons. Based on the frequency decomposition of covariance between indicator functions, we define the quantile cross-spectral beta of an asset capturing tail-specific as well as horizon-, or...
Persistent link: https://www.econbiz.de/10012009758
The paper evaluates the out-of-sample predictive potential of machine learning methods in the cross-section of international equity index returns using firm fundamentals and macroeconomic predictors. The relatively small number of equity indices in the cross-section compared to the multitude of...
Persistent link: https://www.econbiz.de/10012846997