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 …

ambiguity stemming from ambiguous volatilities of multiple assets or ambiguous correlation between two risky assets. The …

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 …

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 …

This paper examines how volatility positions can be optimally constructed by modeling the selection process as a linear … parameters to be applied in the optimization process for robust position risk management. We use implied volatility decreases …) events to construct a linear system where feasible solutions represent an investor’s optimal volatility position. Significant …

Aim/purpose - In this paper, a market volatility-robust portfolio composition framework under the modified Markowitz … financial instruments formulation procedure at an increased market volatility. Design/methodology/approach - In order to … two states, i.e., quiescent (non-crisis; low market volatility) periods that are occasionally interspersed with stress …