We propose sparse DCC-GARCH and BEKK-GARCH models based on L 1 ${L}_{1}$ regularization. use the to study daily return volatility correlation spillovers for 24 constituents of Bloomberg commodity index in period 2000–2018. The outperform diagonal out-of-sample terms model fit other criteria. also test whether higher visibility metals energy markets compared with agricultural commodities affects...

This paper proposes new methods for the econometric analysis of outlier contaminated multivariate conditionally heteroscedastic time series. Robust alternatives to the Gaussian quasi-maximum likelihood estimator are presented. Under elliptical symmetry of the innovation vector, consistency results for M-estimation of the general conditional heteroscedasticity model are obtained. We also propose...

T. Antoni a, W. D. Apel b, A.F. Badea a,1, K. Bekk b, A. Bercuci b,1, H. Blümer b,a, H. Bozdog b, I. M. Brancus c, C. Büttner a, A. Chilingarian d, K. Daumiller a, P. Doll b, R. Engel b, J. Engler b, F. Feßler b, H. J. Gils b, R. Glasstetter a, R. Haeusler a, A. Haungs b, D. Heck b, J. R. Hörandel a, A. Iwan a,2, K.-H. Kampert a,b, H. O. Klages b, G. Maier b,3, H. J. Mathes b, H. J. Mayer b, J....

The purpose of the paper is to discuss ten things potential users should know about the limits of the Dynamic Conditional Correlation (DCC) representation for estimating and forecasting time-varying conditional correlations. The reasons given for caution about the use of DCC include the following: DCC represents the dynamic conditional covariances of the standardized residuals, and hence does n...

The purpose of the paper is to discuss ten things potential users should know about the limits of the Dynamic Conditional Correlation (DCC) representation for estimating and forecasting time-varying conditional correlations. The reasons given for caution about the use of DCC include the following: DCC represents the dynamic conditional covariances of the standardized residuals, and hence does n...

This paper aims to investigate and measure Bitcoin the five largest stablecoin market volatilities by incorporating various range-based volatility estimators BEKK- GARCH Copula-DCC-GARCH models. Specifically, we further Bitcoins’ related major stablecoins examine connectedness between stablecoins. Our empirical findings document that behaviors exhibits presence of stable interconnection. study ...