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This study aims to investigate the impact of conflict on greenfield foreign direct investment (FDI) in the mining sector covering the period of the 1st quarter of 2003 until the 3rd quarter of 2017, across 151 countries. Unlike previous works, this paper focuses on testing two impacts. First, we test for a dynamic impact to uncover the effect of conflict on FDI over the contemporary and subsequent annual quarters. Second, we test for a spatial spillover impact. To achieve these goals, we apply both a panel spatial approach and an event study analysis, using a unique proprietary database FDIMarkets. The main findings are as follows. First, the presence of a dynamic impact depends on the intensity of the conflict for the particular country group, with higher levels of intensity being associated with a higher probability of the presence of a dynamic effect. Second, we find a significant negative spillover impact of greenfield mining FDI of neighbouring countries on the greenfield mining FDI of the FDI-receiving economy. We do not find, however, that conflict in neighbouring countries has a spatial spillover impact on greenfield mining FDI of the FDI-receiving economy. • The study examines the impact of conflict on greenfield FDI in the mining sector. • The Paper applied the events study and the spatial econometrics. • The study finds the intensity of the conflict causes a dynamic impact. • Results demonstrating the existence of a spillover impact. • Reducing conflict intensity can improve FDI in the mining sector. [ABSTRACT FROM AUTHOR]

In this paper, we utilize the Chicago Board Option Exchange (CBOE) implied volatility indices to estimate the time-frequency information transmission among financial markets from 01.08.2008 to 31.10.2019. In doing so, we utilize the rolling window wavelet correlation (RWWC), Diebold & Yilmaz (The Economic Journal 119: 158–171, 2012), and Barunik & Krehlik (Journal of Financial Econometrics 16: 271–296, 2018). Our empirical findings suggest short-term and long-term dynamic connectedness between implied volatility indices of alternative assets. The long-term analysis findings suggest potential hedging and diversification opportunities that can be exploited by taking offsetting positions across volatility indices. The findings confirm heterogeneity between short-term and long-term connectedness results. Our findings also show superior out of sample hedging effectiveness of GVZ. The implications of the findings are further discussed in the paper. [ABSTRACT FROM AUTHOR]