This study examines the effect of a pandemic-induced uncertainty on cryptocurrencies (specifically, Bitcoin, Ethereum and Ripple). It employs a predictive model by Westerlund and Narayan (2012, 2015) to examine the predictability of a pandemic-induced uncertainty as a predictor, as well as the...

Modelling volatility in returns has continued to gain popularity with the evolution of the GARCH-type models under different frameworks. This study therefore examined the different variants of the multivariate GARCH model with focus on those that incorporated asymmetry and constant or dynamic...

We re-investigate the hypothesis of inflation stationarity in 33 Organization of Economic Cooperation and Development (OECD) member countries from 2011 to 2018. We compare two linear fractional-based, two nonlinear Fourier-based and two nonlinear Fourier-Fractional-based unit root tests with...

We investigate unit root in the unemployment rates of 42 African countries. The essence is to clarify if the hypothesis of hysteresis holds or unemployment rate is dubbed as having natural rate, that is, stationarity. Having considered a novel approach that considers the nonlinear Fourier and a...

This study examines how market volatility of five green investments (Standard & Poor’s - S&P [Green bond select index and Green bond index] and Morgan Stanley Capital International - MSCI [Global alternative energy index, Global pollution prevention index, and Global green building index])...

Unemployment hysteresis of the Middle East and North African (MENA) countries is investigated under a battery of unit root testing frameworks in the extant literature, including a recently proposed Panel SUR Dickey-Fuller-like unit root test with Fourier and Exponential Smooth Transition...

The study investigates the impact of uncertainties on energy pricing during the COVID-19 pandemic using five uncertainty measures that include the COVID-Induced Uncertainty (CIU), Economic Policy Uncertainty (EPU), Global Fear Index (GFI); Volatility Index (VIX), and the Misinformation Index of...

We develop an index of uncertainty, the COVID-19 induced uncertainty (CIU) index, and employ it to empirically examine the vulnerability of energy prices amidst the COVID-19 pandemic using a distributed lag model that jointly accounts for conditional heteroscedasticity, autocorrelation,...

Hinging on the recently established relevance of tail thickness information, we examine the predictability of fifteen major stocks in the Asia-Pacific region using conditional autoregressive value at risk (CAViaR) model estimates of tail risks. We used a Westerlund and Narayan–type distributed...

Extant literature establishes co-movements among commodity (metal and oil) prices; whereas oil price/shocks aggregate, as a lone predictor, has relative predictability for most financial assets. We assess the predictability of Baumeister and Hamilton's (2019) decomposed oil shocks (economic...