• Exploring the use of visitor surveys as a tool for supporting EIA follow-up in protected areas : a case study of a conference centre in an iconic national park 

  Wessels, J.A. (Andries); Douglas, Anneli (Taylor and Francis, 2024)

  Impact assessment (IA) follow-up is necessary to determine the environmental effects of a project or plan to inform ongoing management. No previous research confirms if visitor surveys may be used to this extent for ...
• Forecasting multivariate volatilities with exogenous predictors : an application to industry diversification strategies 

  Luo, Jiawen; Cepni, Oguzhan; Demirer, Riza; Gupta, Rangan (Elsevier, 2025-03)

  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 ...
• Youth entrepreneurship : a systematic literature review of the domain and future research agenda 

  Fubah, Clavis Nwehfor; Kansheba, Jonathan Mukiza; Marobhe, Mutaju Isaack; Tabas, Abdollah Mohammadparast (Emerald, 2025)

  PURPOSE : The purpose of this article was to review the existing literature on youth entrepreneurship (YE), focusing on the context, methodological and theoretical approaches employed, alongside any emerging themes on the ...
• Monetary policy shocks and multi-scale positive and negative bubbles in an emerging country : the case of India 

  Cepni, Oguzhan; Gupta, Rangan; Nel, Jacobus A.; Nielsen, Joshua (SpringerOpen, 2025-01)

  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 ...
• Multi-task forecasting of the realized volatilities of agricultural commodity prices 

  Gupta, Rangan; Pierdzioch, Christian (MDPI, 2024-09-23)

  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 ...
• Digital tools for boosting the impact of fiscal decentralization in Africa's local economies 

  Monkam, Nara F.; Mangwanya, Maonei Gladys (F1000Research, 2024)

  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, ...
• Auditing students’ perceptions of online assessments and e-proctoring systems 

  Terblanche, Alet; Van Rooyen, Annelien A.; Enwereji, Prince Chukwuneme (Discover, 2024)

  The COVID-19 pandemic accelerated the implementation of online assessments at an unprecedented pace. The pandemic required most higher education institutions worldwide to implement online assessments almost overnight. The ...
• Decolonial dilemmas : balancing global recognition and local impact in South African research 

  Mthombeni, Zama M. (Discover, 2024)

  The pursuit of decolonial scholarship in academia can be impacted by the pressure to attain international recognition as a requirement for academic promotion. Academic promotion for scholars is often linked to publishing ...
• Advocacy coalitions and the co-production of anti-corruption policy in Botswana : a discourse network analysis 

  Omotoye, A.M.T. (Abiodun Marumo Tito); Holtzhausen, Natasja (Wiley, 2025)

  The advocacy coalition framework (ACF) has provided a sound theoretical lens to better understand dynamic and complex policy issues for over three decades. Yet, its application in non-Western contexts remains scant. This ...
• Financial uncertainty and gold market volatility : evidence from a generalized autoregressive conditional heteroskedasticity variant of the mixed-data sampling (GARCH-MIDAS) approach with variable selection 

  Chuang, O-Chia; Gupta, Rangan; Pierdzioch, Christian; Shu, Buliao (MDPI, 2024-12)

  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 ...
• Climate risks and real gold returns over 750 years 

  Gupta, Rangan; Majumdar, Anandamayee; Pierdzioch, Christian; Polat, Onur (MDPI, 2024-12)

  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 ...
• Effect of temperature on the spread of contagious diseases : evidence from over 2000 years of data 

  Balcilar, Mehmet; Mukherjee, Zinnia; Gupta, Rangan; Das, Sonali (MDPI, 2024-12)

  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 ...
• Navigating marginalized identities in diverse organizations 

  Roberts, Laura Morgan; Nkomo, Stella M., 1947- (Elsevier, 2025-04)

  People with marginalized identities must often manage the diversity dynamics that are activated by their presence in organizations. Due to underrepresentation and stigmatization, they cope with a range of identity threats ...
• Slave trades, kinship structures and women's political participation in Africa 

  Walters, Leone; Chisadza, Carolyn; Clance, M.W. (Matthew) (Wiley, 2024-08)

  We study whether present-day women's political participation in sub-Saharan Africa is associated to the temporary gender ratio imbalances caused by the transatlantic and Indian Ocean slave trades, taking into account ...
• Economic conditions and predictability of US stock returns volatility : local factor versus national factor in a GARCH-MIDAS model 

  Salisu, Afees A.; Liao, Wenting; Gupta, Rangan; Cepni, Oguzhan (Wiley, 2025)

  The aim of this paper is to utilize the generalized autoregressive conditional heteroscedasticity–mixed data sampling (GARCH-MIDAS) framework to predict the daily volatility of state-level stock returns in the United States ...
• Oil price shocks and the connectedness of US state-level financial markets 

  Polat, Onur; Cunado, Juncal; Cepni, Oguzhan; Gupta, Rangan (Elsevier, 2025-01)

  This paper investigates the impact of oil supply, demand, and risk shocks on U.S. state-level stock and bond returns, utilizing daily data from February 1994 to March 2024. It examines the individual effects of oil price ...
• On the detection of structural breaks : the case of the Covid shock 

  Hall, Stephen George; Tavlas, George S.; Trapani, Lorenzo; Wang, Yongli (Wiley, 2025)

  Both the Federal Reserve (Fed) and the European Central Bank (ECB) have been criticized for not having perceived that the outbreak of Covid at the beginning of 2020 would lead to a structural change in inflation in the ...
• Socio-spatial features of neighbourhoods supporting social interaction between locals and migrants in peri-urban China 

  Dai, Linyan; Sheng, Xin; Gupta, Rangan (Elsevier, 2024-12)

  Western literature shows evidence of a positive relationship between socio-spatial features of neighbourhoods and social interaction. However, there is little research exploring this relationship in the Chinese context, ...
• The role of supply chain risk mitigation strategies to manage supply chain disruptions 

  Nel, Jacobus D. (AOSIS, 2024-07-26)

  BACKGROUND : Supply chain disruptions have always existed, but have become more intense during the last decade or so. Factors in the macro environment have also contributed and none more so than during the coronavirus ...
• Artificial intelligence and information systems capabilities for supply chain resilience : a study in the South African fast-moving consumer goods industry 

  Hirsch, Karl; Niemann, Wesley; Swart, Brendan (AOSIS, 2024-05-31)

  BACKGROUND : Fast-moving consumer goods (FMCG) supply chains have become increasingly exposed to disruptions during and after the coronavirus disease 2019 (COVID-19) pandemic. The industry is vulnerable to supply chain ...

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