Investor's Sentiment plays a major role in choosing which stocks we invest. Investors' sentiment can be defined as investors' attitude and opinion towards investing in the Stocks. The aim of this research is to analyse the individual investor's sentiment and also to analyse the influence of Market Specific Factors on investors' sentiment. The investor's attitude towards investing is influenced by rumours, intuition, herd behaviour among investors and media coverage of the stock. 100 investors in Ghana were chosen for the study. These investors were administered a Structured Schedule, containing pre-validated scales to measure the investor sentiment.

This study examines how economic growth, carbon dioxide (CO 2 ) emissions, foreign direct investment (FDI), and energy consumption relate to each other in Sub-Saharan African (SSA) region by employing the quantile regression model to guesstimate the point coefficients of the explanatory variables on the response variables for a range of quantiles from 0.01 to 0.99. The researchers make use of data from 17 SSA countries, with the years ranging from 1975 to 2018. The study reveals a dynamic result for the estimated regression parameters of the quantile regression models for all the respective explanatory variables at varied quantiles. The effect of FDI inflow on economic growth is statistically significant at quantiles 0.1, 0.4 to 0.8 but not statistically significant at quantiles 0.2, 0.3, and 0.9 at 1% and 5% significance levels. Also, the effects of energy consumption on economic growth and the effect of CO 2 emissions on economic growth are statistically significant at quantiles of 0.1, 0.2, and 0.7 at 1% and 5% significance levels. Furthermore, the result established that the coefficients for FDI inflow, energy consumption, and CO 2 emissions are positive across all the specified quantiles except for quantile 0.1 for FDI inflow, which is negative. Evidently, there exists an asymmetric relationship between economic growth and its explanatory variables (FDI inflow, energy consumption, and CO 2 emissions) at diverse quantile levels in its restrictive distribution. The study recommends that governments in the various regions should authorize the environmental agencies to act within the power given to them by the constitution. Also, less polluting foreign production techniques such as greener energy should also be sought after.

Covid-19 transformed mobile payment services (MPS) diffusion pattern globally. Consequently, the need to examine factors contributing to the diffusion rate of MPS in this era is substantiated. Thus, this study employs Structural Equation Model (SEM) with social media administered survey data to estimate the nexus between MPS diffusion and technological factors, non-technological factors, and environmental factors. Results suggest that although MPS diffusion increased globally, mobile payment services have the highest diffusion rate. This is because of convenience, availability, and cost. Further, technological, non-technological, and environmental factors all contribute positively to the high rate of diffusion. Environmental factors like an escalation in the Covid-19 cases, recommendations from the center for disease control positively mediates the relationship between MPS diffusion and non-technological factors. Thus, to encourage mass diffusion and continual usage of MPS during and after the pandemic, cost of usage, convenience, accessibility, and mobile-based applications should be bundled for optimized user experience.

Financial technology has evolved from a mediation role into an established sub-market within the financial ecosystem, gaining a superior advantage over the traditional financial system. Therefore, to ascertain if this advantage extends to protecting our environment, this study estimates the relationship between financial technology and carbon emission from the top seven (7) mobile money economies in sub-Saharan Africa. A balanced panel dataset from 2009 to 2020 is employed and estimated with the FMOLS estimator after checking for cross-sectional dependence, unit-root, stationarity, and cointegration. Results from the estimation suggest a negatively significant relationship between financial technology and carbon emission in these countries. However, domestic credit to the private sector revealed a statistically insignificant relationship with carbon emission for the same period. Further, foreign direct investment reduces carbon emissions. However, gross domestic product and trade openness increases carbon emission in these countries. Therefore, it is recommended that financial technology developers in the sub-region should consider green financial products and services to ensure cleaner production and a better environment.

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