We examine spillover and its determinants among Eurozone sector level credit markets using time and frequency domain spillover approaches. Based on network theory and connectedness analysis, we identify the sectors that are major transmitters and receivers of spillover during normal and crisis periods. The rolling window analysis shows that short-run spillover among credit market sectors intensifies during global and Eurozone crisis periods. Further, using Bayesian model averaging, we find that overall financial conditions and stock market volatility are the main drivers of total and sector-level spillover. Our findings have important implications for policymakers and investors interested in Euro-area credit risk at the sector level.

Spillover across Eurozone credit market sectors and determinants

Bekiros S.
Last
2019-01-01

Abstract

We examine spillover and its determinants among Eurozone sector level credit markets using time and frequency domain spillover approaches. Based on network theory and connectedness analysis, we identify the sectors that are major transmitters and receivers of spillover during normal and crisis periods. The rolling window analysis shows that short-run spillover among credit market sectors intensifies during global and Eurozone crisis periods. Further, using Bayesian model averaging, we find that overall financial conditions and stock market volatility are the main drivers of total and sector-level spillover. Our findings have important implications for policymakers and investors interested in Euro-area credit risk at the sector level.
2019
51
59
6333
6349
Bayesian model averaging; Credit default swaps; crisis periods; network connectedness; time and frequency domain spillovers
Hussain Shahzad S.J.; Bouri E.; Arreola-Hernandez J.; Roubaud D.; Bekiros S.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1915176
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