Predictive maintenance (PM) strategies are based on real-time data for diagnosis of
impending failure and prognosis of machine health. It is a proactive process, which needs …

Since the end of the Cold War, the sanctions against Russia have been the harshest and
most costly imposed on a major economy. They appear to be unprecedented in terms of …

This paper investigates the risk spillovers from geopolitical risk to five renewable energy
stock markets by measuring four types of (normalized) delta conditional Value-at-Risk …

Machine Learning and Deep Learning-based stock market prediction models are in trend.
Various methods and algorithms are there to deal with stock market analysis. However, an …

The main objective of this paper is to analyze the causality effect of economic policy
uncertainty and geopolitical risk on the prices of precious metals. We employ the Hacker and …

This paper examines the effect of real-time global geopolitical risks (GPRs), acts (GPAs),
and threats (GPTs) indices on monthly returns and volatility of several American commodity …

Recently, the association between oil price and exchange rate has attracted a new track in
which empirical studies examine the probability of asymmetric respond of exchange rate to …

This paper focuses on distinguishing the predictive power of five newly developed
uncertainty indices, that is, global and US economic policy uncertainty (GEPU and US EPU) …

Based on wavelet coherence analysis, this paper explores whether precious metals can be
used to hedge geopolitical risk (GPR) and whether there is an asymmetry in the hedging …

This paper studies the importance of gold's effect on investment and the fact that gold is
often seen as a safe-haven asset during economic uncertainty. When inflation rates rise …