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We address the safe haven properties of gold relative to US stock market sector indices using the bivariate cross-quantilogram of Han et al. (2016). Splitting our sample into pre- and post-crisis periods, our results show that the safe haven properties of gold have a changing nature. Before and after the financial crisis, we find only limited quantile dependence and that gold can be considered a safe haven for most of the sectors, except Industrials. On a full sample (1999–2016), there are only three sectors – Healthcare, IT, and Telecommunication services – for which gold can be considered a safe haven. [ABSTRACT FROM AUTHOR]

In our network analysis of 40 developed, emerging and frontier stock markets during the 2006–2014 period, we describe and model volatility spillovers during both the global financial crisis and tranquil periods. The resulting market interconnectedness is depicted by fitting a spatial model incorporating several exogenous characteristics. We document the presence of significant temporal proximity effects between markets and somewhat weaker temporal effects with regard to the US equity market — volatility spillovers decrease when markets are characterized by greater temporal proximity. Volatility spillovers also present a high degree of interconnectedness, which is measured by high spatial autocorrelation. This finding is confirmed by spatial regression models showing that indirect effects are much stronger than direct effects; i.e., market-related changes in ‘neighboring’ markets (within a network) affect volatility spillovers more than changes in the given market alone, suggesting that spatial effects simply cannot be ignored when modeling stock market relationships. Our results also link spillovers of escalating magnitude with increasing market size, market liquidity and economic openness. [ABSTRACT FROM AUTHOR]