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volatility for estimating conditional variances and covariances; (2) alternative currencies; and (3) alternative maturities of … Chang et al. [17], we estimate four multivariate volatility models (namely CCC, VARMA-AGARCH, DCC and BEKK), and calculate …
Persistent link: https://www.econbiz.de/10013113663
The paper examines the performance of four multivariate volatility models, namely CCC, VARMA-GARCH, DCC and BEKK, for … the optimal portfolio weights of all multivariate volatility models for Brent suggest holding futures in larger … volatility model give the time-varying hedge ratios, and recommend to short in crude oil futures with a high proportion of one …
Persistent link: https://www.econbiz.de/10013149486
The rapid development of artificial intelligence methods contributes to their wide applications for forecasting various financial risks in recent years. This study introduces a novel explainable case-based reasoning (CBR) approach without a requirement of rich expertise in financial risk....
Persistent link: https://www.econbiz.de/10012584957
One of the most important factors to control for the achievements of investment portfolio returns is risk. If we only think that a 100% positive return is needed to recover a portfolio loss of 50%, we can understand why. With the advent of the exponential growth of technology usage in markets,...
Persistent link: https://www.econbiz.de/10014254526
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We implement a long-horizon static and dynamic portfolio allocation involving a risk-free and a risky asset. This model is calibrated at a quarterly frequency for ten European countries. We also use maximum-likelihood estimates and Bayesian estimates to account for parameter uncertainty. We find...
Persistent link: https://www.econbiz.de/10008797745
a mixture stochastic volatility model providing a tractable method for capturing certain market characteristics. To … estimate the parameter of a mixture stochastic volatility model, we first use the Expectation-Maximisation (EM) algorithm. The …
Persistent link: https://www.econbiz.de/10009755511
We introduce a notion of volatility uncertainty in discrete time and define the corresponding analogue of Pengs G … as a Donsker-type result for the G-Brownian motion. G-expectation, volatility uncertainty, weak limit theorem …
Persistent link: https://www.econbiz.de/10009009518
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