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This paper proposes a novel quantile vector autoregressive extended joint connectedness framework to examine realized volatilities spillovers between oil and precious metals commodities using daily data from May 1st, 2006 until June 18th, 2021. Our findings suggest that crude oil is the main net...
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This study examines the contemporaneous return transmission mechanism across the G20 stock market returns employing a novel R2 connectedness framework which combines the network approach of Kenett et al. (2010, 2015) and the connectedness approach of Diebold and Yilmaz (2012, 2014). The employed...
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This paper introduces a model-free connectedness approach by constraining the model-based connectedness approach of Diebold and Yilmaz (2012). By doing so, we demonstrate how the adoption of this benchmark model is relevant for statistical, theoretical, and practical purposes as well as...
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We examine time-varying correlations among stock market returns, implied volatility and policy uncertainty. Our findings suggest that correlations are indeed time-varying and sensitive to oil demand shocks and US recessions
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