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Stylized facts, volatility dynamics and risk measures of cryptocurrencies

Bruzgė, Rasa; Černevičienė, Jurgita; … - In: Journal of business economics and management 24 (2023) 3, pp. 527-550

This study explores the stylized facts, volatility clustering, other highly irregular behaviour, and risk measures of … there was confirmed existence of volatility clusters when high volatility periods are followed by low volatility periods … expect in the worst case scenario. Our results confirm the existence of predictability, volatility clustering, and …

Persistent link: https://www.econbiz.de/10014420375

Bayesian inference for latent factor copulas and application to financial risk forecasting

Schamberger, Benedikt; Gruber, Lutz F.; Czado, Claudia - In: Econometrics : open access journal 5 (2017) 2, pp. 1-23

Factor modeling is a popular strategy to induce sparsity in multivariate models as they scale to higher dimensions. We develop Bayesian inference for a recently proposed latent factor copula model, which utilizes a pair copula construction to couple the variables with the latent factor. We use...

Persistent link: https://www.econbiz.de/10011654443

Global risk evolution and diversification : a Copula-DCC-GARCH model approach

Righi, Marcelo Brutti; Ceretta, Paulo Sergio - In: Revista Brasileira de Finanças : RBFin 10 (2012) 4, pp. 529-550

Persistent link: https://www.econbiz.de/10010412236

Analysis of stock markets risk spillover with copula models under the background of Chinese financial opening

Du, Jiangze; Chen, Xizhuo; Gong, Jincheng; Lin, Xiao; … - In: International journal of finance & economics : IJFE 28 (2023) 4, pp. 3997-4019

Persistent link: https://www.econbiz.de/10014429264

Businesses risks aggregation with Copula

Kamdem, J. Sadefo - In: Journal of quantitative economics : official journal of … 9 (2011) 2, pp. 58-72

Persistent link: https://www.econbiz.de/10010337911

Measuring tail risk with GAS time varying copula, fat tailed GARCH model and hedging for crude oil futures

Gong, Xiao-Li; Liu, Xi-Hua; Xiong, Xiong - In: Pacific-Basin finance journal 55 (2019), pp. 95-109

Persistent link: https://www.econbiz.de/10012169513

Multivariate crash risk

Chabi-Yo, Fousseni; Huggenberger, Markus; Weigert, Florian - In: Journal of financial economics 145 (2022) 1, pp. 129-153

Persistent link: https://www.econbiz.de/10013473731

When the US stock market becomes extreme?

Aboura, Sofiane - In: Risks : open access journal 2 (2014) 2, pp. 211-225

real estate bubble burst, credit crunch and banking panics. As a response, extreme value theory (EVT) provides a set of …

Persistent link: https://www.econbiz.de/10010399734

Value-at-risk and expected shortfall in cryptocurrencies' portfolio : a vine copula–based approach

Trucíos, Carlos; Tiwari, Aviral Kumar; Alqahtani, Faisal - In: Applied economics 52 (2020) 24, pp. 2580-2593

Persistent link: https://www.econbiz.de/10012210957

Comparison of semi-parametric and benchmark value-at-risk models in several time periods with different volatility levels

Buczyński, Mateusz; Chlebus, Marcin - In: E-Finanse : finansowy kwartalnik internetowy 14 (2018) 2, pp. 67-82

-GARCH(1,1), CAViaR and historical simulation models in periods with contrasting volatility trends (increasing, constantly high … volatility trend. However, GARCH-st (1,1) and QML-GARCH(1,1) were found to be the most robust models in the different volatility … periods. The results show as well that the CAViaR model forecasts were less appropriate in the increasing volatility period …

Persistent link: https://www.econbiz.de/10011967246