Hwang, Young Kyu; Venter, Alanda(Elsevier, 2025-01)
Given the threat of climate change, the renewable energy transition will play a pivotal role in reaching net-zero goals. The digital economy and institutional quality are considered key enablers of the rapid deployment of ...
Molepo, Event P.; Jordaan, Andre Cillie(Routledge, 2024)
This study investigates the direction of causality between exports,
imports and GDP per capita in the SACU countries: Botswana,
Lesotho, Namibia, South Africa and Eswatini (Swaziland). The TodaYamamoto augmented Granger ...
We investigated the presence of herding and its interactions with monetary policy in the ZAR market.
We achieved this using both the standard herding tests and Sim and Zhou’s (2015) quantile-on-quantiles
regressions. ...
We analyze the out-of-sample predictive power of sentiment for the realized
volatility of agricultural commodity price returns. We use high-frequency
intra-day data covering the period from 2009 to 2020 to estimate ...
We analyze the predictability of REIT returns based on gold market volatility for 11 sectors and five regions. Our
findings show higher gains during volatile gold market conditions, but results vary in tranquil and ...
This study analyzes the relationship between migration
and inflation as well as the intervening role of interest rates
in selected OECD countries from 1995 to 2020, covering
periods of turbulence and tranquillity. The ...
Martin Wittenberg was born in Bethel, Germany, in 1962; he died in Cape Town in 2024. He made major contributions to the intellectual life of South Africa through his scholarship, mentorship and public service. The three ...
Ye, Yuxiang; Koch, Steven F.; Ye, Xianming(Elsevier, 2025-03)
Climate change is expected to negatively affect Africa, possibly leading to increased energy needs. However, meeting that need could prove problematic; more than a decade of load-shedding in South Africa is suggestive in ...
Climate change is, perhaps, the most important of challenges currently facing humankind, with the potential to have health and welfare implications by imposing a sizeable aggregate risk to the economy. Given this, and in ...
This study aims to examine the usefulness of corporate profits in predicting the return volatility of sectoral stocks in the United States. We use a GARCH-MIDAS approach to keep the datasets in their original frequencies. ...
Aye, Goodness Chioma; Kotur, Lydia N.; Ater, Peter I.(MDPI, 2025-02)
The study investigated the threshold effects of economic-policy uncertainty on food security in Nigeria, covering the period from 1970 to 2021. Summary statistics and unit root tests were employed for preliminary analysis, ...
Van Eyden, Renee; Gupta, Rangan; Sheng, Xin; Nielsen, Joshua(MDPI, 2025-02)
While there is a large body of literature on oil uncertainty-equity prices and/or
returns nexus, an associated important question of how oil market uncertainty affects
stock market bubbles remains unanswered. In this ...
The focus of this investigation was to examine the effects of energy consumption, agricultural
commerce, and productivity on CO2 emissions in Nigeria using quantile regression. Time
series data from 1960 to 2021 were ...
We propose a procedure to forecast the realized covariance matrix for a given set of assets within a multivariate heterogeneous autoregressive (MHAR) framework. Utilizing high-frequency data for the U.S. aggregate and ...
We employ the Multi-Scale Log-Periodic Power Law Singularity Confidence Indicator (MS-LPPLS-CI) approach to identify positive and negative bubbles in the short-, medium, and long-term for the Indian stock market, using ...
Motivated by the comovement of realized volatilities (RVs) of agricultural commodity
prices, we study whether multi-task forecasting algorithms improve the accuracy of out-of-sample
forecasts of 15 agricultural commodities ...
BACKGROUND: Fiscal decentralization offers potential for stimulating local economic development in Africa, empowering subnational governments to
control revenue and spending. However, challenges such as urbanization, ...
We analyze the predictive effect of monthly global, regional, and country-level financial
uncertainties on daily gold market volatility using univariate and multivariate GARCH-MIDAS
models, with the latter characterized ...
Using data that cover the annual period from 1258 to 2023, we studied the link between
real gold returns and climate risks. We documented a positive contemporaneous link and a negative
predictive link. Our findings further ...
The COVID-19 pandemic led to a surge in interest among scholars and public health professionals in identifying the predictors of health shocks and their transmission in the population. With
temperature increases becoming ...