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Spillovers in risk of financial institutions
Cotter, John; Suurlaht, Anita - In: The European journal of finance 25 (2019) 17, pp. 1765-1792
Persistent link: https://www.econbiz.de/10012207148
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Risk dependence of CoVaR and structural change between oil prices and exchange rates : a time-varying copula model
Ji, Qiang; Liu, Bing-Yue; Fan, Ying - In: Energy economics 77 (2019), pp. 80-92
Persistent link: https://www.econbiz.de/10012306349
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On the network topology of variance decompositions : measuring the connectedness of financial firms
Diebold, Francis X.; Yılmaz, Kamil - In: Journal of econometrics 182 (2014) 1, pp. 119-134
Persistent link: https://www.econbiz.de/10010497110
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The anatomy of sovereign risk contagion
Wu, Eliza; Erdem, Magdalena; Kalotychou, Elena; … - In: Journal of international money and finance 69 (2016), pp. 264-286
Persistent link: https://www.econbiz.de/10011712035
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Bank credit default swaps and deposit insurance around the world
Liu, Liuling; Zhang, Gaiyan; Fang, Yiwei - In: Journal of international money and finance 69 (2016), pp. 339-363
Persistent link: https://www.econbiz.de/10011712039
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Monetary policy in open economies : practical perspectives for pragmatic central bankers
Clarida, Richard H. - In: Journal of economic dynamics & control 49 (2014), pp. 21-30
Persistent link: https://www.econbiz.de/10010486616
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Credit risk measurement using VaR methodology
Valaskova, Katarina; Siekelova, Anna; Weissova, Ivana - In: Advances in applied economic research : proceedings of …, (pp. 289-302). 2017
Persistent link: https://www.econbiz.de/10011744130
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Retailer value-at-risk in interconnected power markets : an Australian empirical analysis
Handika, Rangga; Triandaru, Sigit - In: International journal of economics and financial issues … 6 (2016) 6, pp. 6-9
Persistent link: https://www.econbiz.de/10011782375
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How informative is high-frequency data for tail risk estimation and forecasting? : an intrinsic time perspectice
Dimitriadis, Timo; Halbleib, Roxana - 2019
This paper proposes a novel and simple approach to compute daily Value at Risk (VaR) and Expected Shortfall (ES) directly from high-frequency data. It assumes that financial logarithm prices are subordinated unifractal processes in the intrinsic time, which stochastically transforms the clock...
Persistent link: https://www.econbiz.de/10012317619
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Expected shortfall assessment in commodity (L)ETF portfolios with semi-nonparametric specifications
Brio, Esther B. del; Mora-Valencia, Andrés; Perote, Javier - In: The European journal of finance 25 (2019) 17, pp. 1746-1764
Persistent link: https://www.econbiz.de/10012207145