Does global fear predict fear in BRICS stock markets? Evidence from a Bayesian Graphical Structural VAR model

Bouri, Elie and Gupta, Rangan and Hosseini, Seyedmehdi and Lau, Chi Keung Marco,(2018), Does global fear predict fear in BRICS stock markets? Evidence from a Bayesian Graphical Structural VAR model. , Emerging Markets Review, UNSPECIFIED

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Abstract

We examine the predictive power of implied volatility in the commodity and major developed stock markets for the implied volatility in individual BRICS stock markets. We use daily data from March 2011 to October 2016 and employ the newly developed Bayesian Graphical Structural Vector Autoregressive (BGSVAR) model of Ahelegbey et al. (2016). Evidence suggests that the predictability of individual implied volatilities in BRICS is generally a function of both global and within the group stock market implied volatilities, and that the role of commodity market volatility is marginal, except for South Africa. Important implications for policy-makers and portfolio-managers are discussed
Keywords : Bayesian Graphical Structural VAR, Volatility predictability, Implied volatility index, VIX, Strategic commodities, BRICS, UNSPECIFIED
Journal or Publication Title: Emerging Markets Review
Volume: 34
Number: UNSPECIFIED
Item Type: Article
Subjects: Manajemen
Depositing User: Endhar Priyo Utomo
Date Deposited: 30 Dec 2019 01:37
Last Modified: 30 Dec 2019 01:37
URI: https://repofeb.undip.ac.id/id/eprint/1121

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