This study examines how financial literacy, financial behaviour, family support (as another source of income), number of dependents, and retirement planning influence on the financial well-being of retirees in Cape Coast Metropolis of Ghana. A cross-sectional survey strategy was employed on 400 respondents randomly selected from 1500 members of the association to analyze the effect of financial literacy, financial behaviour, family support, number of dependents and retirement planning on financial wellbeing. It then tests their hypothesized relationships with the use of Partial Least Squares (PLS), a structural equation modelling technique. The results reveal that financial literacy, retirement planning and family support significantly impact the financial well-being of retirees. More importantly, the effect of family support and retirement planning on retirees' financial well-being is stronger than the one of financial literacy. The findings imply that finance literacy and retirement planning should be promoted. In addition to policies aimed at bridging social cohesion and promoting family values should not be ignored the maximizing of financial well-being of retirees. The study contributes to the extant literature on financial literacy and provides evidence on the effect of financial literacy and financial planning on the financial well-being of retirees in a developing country. It has also provided support for the need of social cohesion.

This study investigated the impact of the novel coronavirus disease 2019 (COVID‐19) outbreak on prices of maize, sorghum, imported rice and local rice in sub‐Saharan Africa (SSA). We estimated dynamic panel data models with controls for macroeconomic setting using general method of moments estimation. The study found that the COVID‐19 outbreak led to increases in food prices of the sampled countries. Restrictions on movements or lockdowns in the wake of COVID‐19 was associated with an increase in the price of maize only. We also found that exchange rate, inflation and crude oil prices exerted a detrimental effect on food prices. We recommend that governments of SSA countries invest in infrastructure that improves efficiencies in the food supply chain during pandemics. Providing adequate support to industries in the value chain will also improve food availability and food price stability post‐COVID‐19.

This study provides an analysis of chaotic information transmission from the COVID-19 pandemic to global equity markets in a novel denoised frequency domain entropy framework. The current length of the pandemic data offers the opportunity to examine its role in the asymmetric behaviour patterns of investors according to time horizons and the diversification potentials available to them. We employ the total daily global confirmed cases of COVID-19 and 27 equity indices from December 31, 2019, to April 18, 2021. Our results corroborate the idea that diversification potentials are stronger in the short to medium term. The Global Index (higher risk) and Canada and New Zealand (lower risk) remain at both ends to pair some other equities to offer diversification prospects because of the transmission of information from COVID-19 to the selected equity markets. In addition, we provide the source of these diversification prospects as information flow rather than transmission of shocks, which is common in the literature. Furthermore, our results suggest detailed levels of risk (lower vis-à-vis higher) in the situation where they have been stripped of the noise in the market. The findings allow both investors and policymakers to make informed decisions based on the time horizons since the pandemic communicates different chaotic information with the lapse of time. This is imperative to avoid the negative consequences of the increasing infection rate on global stock markets.

This paper employed wavelet coherence and partial wavelet coherence to investigate the time-frequency effect of global economic policy uncertainty on the comovement of five agricultural commodities such as maize, oat, rice, soybean, and wheat using monthly data from January 1997 to December 2019. In general, we observed heterogeneity in comovement structures of the agricultural commodities market at different time-frequency scales which are profound at high frequencies from the bivariate wavelet coherence. The partial wavelet coherence analysis shows that global economic policy uncertainty is a driver of agricultural commodity market connectedness. This implies that extreme changes in economic policy uncertainty have the tendency to influence commodity price comovement. This poses risk to the stability of the agricultural commodities market, which requires the policymaker’s intervention to protect against the spillover risk contagion effect in uncertain times.

This study explores how global economic policy uncertainty (EPU) shocks comove with stock returns (SR) of eight African countries—Botswana, Ghana, Kenya, Morocco, Namibia, Nigeria, South Africa, and Zambia. The study employed daily data from December 2010 to December 2019 using wavelet coherence analysis. The results showed that global EPU comoves with most of the SR of African markets and was concentrated in the longer term, especially during the period between 2011 and 2019, although not substantially. The findings indicate that short-term investments in African stocks are less susceptible to global economic policy uncertainty. It is recommended that foreign investors could hedge agaist policy uncertainties by investing in stock listed in African Stock exchanges while appropriate country-level policies are deployed to manage long-term effect of EPU.