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        Symmetric and Asymmetric Causal Relationship between Oil Prices and G7 Stock Markets: A Bootstrap Rolling-Window Granger Causality Test

        Khaled Mokni,Mohamed Sahbi Nakhli,Othman Mnari,Khemaies Bougatef 세종대학교 경제통합연구소 2021 Journal of Economic Integration Vol.36 No.4

        This study examines the causal relationships between oil prices and the MSCI stock index of G7 countries between September 2004 and October 2020. This study is novel in implementing symmetric and asymmetric time-varying causality tests based on the bootstrap rolling-window approach. The results reveal that the causal link between oil prices and G7 stock markets is time-dependent. The periods of bidirectional causality roughly coincide with the global financial crisis and the ongoing COVID-19 pandemic. When asymmetry is accounted for, the results suggest an asymmetric causality between the two markets expressed by different patterns regarding positive and negative oil shocks. The results also indicate symmetric causality during the COVID-19 pandemic. These findings have implications for portfolio design and hedging strategies that are important to both policymakers and investors.

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        On the Nonlinear Impact of Oil Price Shocks on the World Food Prices Under Different Markets Conditions

        Youssef Manel,Mokni Khaled 한국국제경제학회 2021 International Economic Journal Vol.35 No.1

        This paper investigates the impact of oil price shocks on the world food prices. We use the structural VAR model to disentangle oil price shocks into supply, aggregate demand, and oil-specific demanddriven shocks. Moreover, we employ a new approach based on the Markov regime-switching quantile regression (MRS-QR) model to investigate the response of food prices to different oil price shocks. Based on monthly data from 1992 to 2018, results show that the reaction of food prices to different structural oil shocks depends on the oil price regimes and varies in significance, sign, and size throughout the food market conditions. Besides, the increases in regression coefficients and smoothed probability during food and oil crisis periods confirm the existence of contagion effects between oil and food markets. Moreover, we find that the supply and aggregate demand shocks do not show a strong contribution to the presence of this phenomenon. Conversely, oil-specific demand shocks represent the main factor that contributes to contagion between oil and food markets.

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