Abstract

This study examines the dynamic interconnectedness and dependence between the USA’s corporate bond market (CMD) and economic and equity market uncertainties, as well as geopolitical risk. Using quantile Vector Autoregressive (QVAR) and Wavelet Local Multiple Correlation (WLMC) techniques, we place particular emphasis on the periods corresponding to the Russian–Ukrainian war and the COVID-19 pandemic. We find significantly higher interconnectedness, particularly at the upper quantile and large scale, during these two events, lending support to the use of asymmetric models. Additionally, our findings reveal that the impact is more robust when uncertainty increases compared to periods of decreased uncertainty. These results carry vital implications for policymakers and macro-prudential authorities, emphasizing the necessity to consider a changing macroeconomic environment and to reduce dependence on Russian energy sources to navigate a complex and evolving financial landscape.

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