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. These seven scripts contain the Dynamic Conditional Correlation (DCC) framework, Instantaneous Frequency Forecasting (IFF … RCR framework to forecast covariance and correlation structures and finally apply portfolio weighting strategies based on …
Persistent link: https://www.econbiz.de/10014253907
estimation of the covariances if traditional methods for low-frequency data are employed. We propose to model intraday log … microstructure noise is taken into account, (iii) estimation is performed by standard maximum likelihood. Our empirical analysis …
Persistent link: https://www.econbiz.de/10012854692
The study aimed at determining a set of superior generalized orthogonal-GARCH (GO-GARCH) models for forecasting time-varying conditional correlations and variances of five foreign exchange rates vis-à-vis the Nigerian Naira. Daily data covering the period 02/01/2009 to 19/03/2015 was used, and...
Persistent link: https://www.econbiz.de/10011534717
covariance matrix eigenvalues, while for the Box-Cox dynamic correlation (BC-DC) specification the variances are transformed …
Persistent link: https://www.econbiz.de/10010344500
components and the mixed-sign component load differently on economic information concerning stochastic correlation and jumps. The …
Persistent link: https://www.econbiz.de/10012116691
This study explores the predictive power of new estimators of the equity variance risk premium and conditional variance for future excess stock market returns, economic activity, and financial instability, both during and after the last global financial crisis. These estimators are obtained from...
Persistent link: https://www.econbiz.de/10012925879
This paper proposes a generalization of the class of realized semivariance and semicovariance measures introduced by Barndorff-Nielsen, Kinnebrock and Shephard (2010) and Bollerslev, Li, Patton and Quaedvlieg (2020a) to allow for a finer decomposition of realized (co)variances. The new "realized...
Persistent link: https://www.econbiz.de/10012249756
its error component is partially unspecified. The statistical properties of the model are discussed and a novel estimation …
Persistent link: https://www.econbiz.de/10012863889
We develop a penalized two-pass regression with time-varying factor loadings. The penalization in the first pass enforces sparsity for the time-variation drivers while also maintaining compatibility with the no arbitrage restrictions by regularizing appropriate groups of coefficients. The second...
Persistent link: https://www.econbiz.de/10012487589
forecasting technique with respect to various volatility estimators. The methodology of volatility estimation included Close …
Persistent link: https://www.econbiz.de/10012870348