Systemic Risk in the European Financial and Energy Sector: Dynamic Factor Copula Approach

Matěj Nevrla ()

No 2017/11, Working Papers IES from Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies

Abstract: In this paper, we perform analysis of systemic risk in the financial and energy sector in Europe. In our investigation, we work with daily time series of CDS spreads. We employ factor copula model with GAS dynamics of Oh and Patton (2016) for estimation purposes of dependency structures between market participants. Based on the estimated models, we perform Monte Carlo simulations in order to obtain future values of CDS spreads, and then we measure probability of systemic events in given time points. We conclude that substantially higher systemic risk is present within the financial sector than in the energy sector. We also find that the most systemic vulnerable financial and energy companies come from Spain.

Keywords: Credit Default Swap; Energy Sector; Factor Copula; Financial Sector; Generalized Autoregressive Score Model; Systemic Risk (search for similar items in EconPapers)
JEL-codes: C53 C55 C58 G17 (search for similar items in EconPapers)
Pages: 39 pages
Date: 2017-05, Revised 2017-05
New Economics Papers: this item is included in nep-eec and nep-ene
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Citations: View citations in EconPapers (1)

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