We emphasize the role of news-based economic policy and equity market uncertainty indices as robust drivers of oil price fluctuations. In that, we utilizea new hybrid nonparametric quantile causality methodology in order to investigate whether EPU and EMU uncertainty measures incorporate...

Recent empirical evidence based on a linear framework tends to suggest that a Markov-switching version of the consumption-aggregate wealth ratio (cayMS), developed to account for structural breaks, is a better predictor of stock returns than the conventional measure (cay) – a finding we...

We use monthly data covering a century-long sample period (1915–2021) to study whether geopolitical risk helps to forecast subsequent gold volatility. We account not only for geopolitical threats and acts, but also for 39 country-specific sources of geopolitical risk. The response of...

Purpose The purpose of this paper is to study the evolution of monetary policy uncertainty and its impact on the South African economy. Design/methodology/approach The authors use a sign restricted SVAR with an endogenous feedback of stochastic volatility to evaluate the sign and size of...

Employing static/dynamic models that capture herding under different market regimes, we provide novel evidence on the herding behaviour of UK-listed Real Estate Investment Trusts (REITs). Our sample is extensive and covers the period from 30/6/2004 to 5/4/2016. Estimates of herding behaviour are...

Breaking ground from all previous studies, we estimate a time-varying Vector Autoregression model that examines the time-period 1270-2016 - the entire economic history of the U.K. Focusing on permanent and transitory shocks in the economy, we study the fluctuation in conditional volatilities and...