Geopolitical events are widely reported in the press and may influence the risk premium demanded by investors in addition to demand and supply of energy resources. Using the daily geopolitical risk index of Caldara and Iacoviello (2018), we demonstrate that geopolitical risk plays an important...

This paper documents the fact that in options markets, the (percentage) implied volatility bid-ask spread increases at an increasing rate as the option's maturity date approaches. To explain this stylized fact, this paper provides a market microstructure model for the bid-ask spread in options...

There is a growing empirical literature on gold's safe haven status with respect to financial risks but no study with respect to global geopolitical risks. This paper extends the common focus on extreme stock market movements and financial turmoil with an analysis of geopolitical risk. We find...

Using the economic policy uncertainty (EPU) index of Baker et al. (2016), we examine the influence of EPU on the characteristics of USD/JPY exchange rate forecasts. Our sample period, which spans two decades, incorporates a range of economic and political conditions for the US and Japan....

Economic policy touches most facets of corporate decision-making and variations in policy can elicit significant changes in financial performance and asset prices. We utilise the EPU measure of Baker et al. (2016) to investigate the extent to which policy uncertainty influences Australian...

The oil price volatility index (OPVI) is a direct and more accurate measure of oil price uncertainty. The significance of the crude oil prices volatility index is used in this paper to examine the effects of crude oil uncertainty on the aggregate and market returns in various economic sectors....

Economic policy uncertainty (EPU) relates to ambiguity surrounding possible changes in government policy and their associate impact on firm performance. This uncertainty places additional stress on economic agents and has implications for the global economy via delays in firm investment and...

The availability of high frequency financial data has generated a series of estimators based on intra-day data, improving the quality of large areas of financial econometrics. However, estimating the standard error of these estimators is often challenging. The root of the problem is that...

Tail interdependence is defined as the situation where extreme outcomes for some variables are informative about such outcomes for other variables. We extend the concept of multi-information to quantify tail interdependence at different levels of extremity, decompose it into systemic and...