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The study examined the nexus between economic performance and profitability of banks in Nigeria using annual panel data spanning the period of 2005 – 2017. Specifically, it examined the relationships between macroeconomic variables and bank profitability in Nigeria; the magnitude of impact between traditional and alternative measures of economic performance on bank profitability measures in Nigeria. The study employed the fixed effect panel regression technique and the panel Granger causality test to achieve the objectives. Findings revealed that there exists a weak correlation between macroeconomic variables and bank profitability. It was equally found out that a unicausal relationship exists between foreign direct investment net inflow  growth rate (FDIG) and Return on Assets (ROA), ROA and inflation rate (INF). Also, it was found that interest rate (IR) had a significant impact on return on asset, whereas operational efficiency (OPE) and EXR were found to be negatively related to return on asset. Capital adequacy ratio (CAD) was also found to be significant and positively related to ROA. Based on the size of the coefficients, FDIG, OPE andIR was found to exert more impact on bank profitability in  Nigeria, than the alternative measure (MCAPG) and other traditional measures of economic performance. Thus, based on the findings it was recommended that government through fiscal and monetary policy measures should ensure that FDI driven policies are pursed and optimal interest rate that is appealing to both lenders and borrowers implemented.

Keywords: Economic Performance; Market Capitalization; Fixed effect panel regression.

JEL Classification: C21, C23, E02, G21

The international community perceives Sudan as extraordinarily corrupt, and all available data and country reports indicate persistent, widespread and endemic forms of corruption. Although corruption is common in many economies in the world, its impact is more significant on fragile economies like Sudan. This paper investigates the quantitative link between corruption level and foreign direct investment inflows (FDI) to Sudan.The Transparency International Corruption Perceptions Index (CPI) is employed as the measure of corruption. CPI measures perceived corruption rated on a scale from zero (most corrupt) to 100 (no corruption). Empirically, in order to determine the quantitative magnitude of the impact of corruption on FDI, time series econometrics analysis is applied to a date set from 2002 to 2016. In addition to the CPI,a list of commonly used regressors in empirical studies of corruption and growth are employed. This list includesConsumer price index, trade openness,political stability. The result showsa statistically significant dependence between CPI and FDI to Sudan, and indicates thatthe clearer the country from corruption, the higher the FDI inflows could be. From a policy perspective, efforts should be made to curb corruption.

The COVID-19 has exposed the whole world to severe consequences and uncertainties, which cannot be only defined as mortality but also in terms of people’s daily livelihood and economic despair. In addition, enterprises are in extreme distress and facing enormous challenges due to strong containment measures taken by governments for mitigating coronavirus outbreak. Therefore, in finding ways to adapt to restrictive lockdown rules and social-distancing practices, leveraging e-commerce is rapidly implemented by businesses to boost sales and maintain public safety amid the epidemic. This research aims to measure the impacts of COVID-19 on the online shopping behaviors of Danang’s citizens (Vietnam) by applying a quantitative model. Online questionnaires were released and recorded with 429 respondents in Danang city during the second outbreak of coronavirus in Vietnam. Precisely, the analysis results present that SARSCoV2 factors including policy barriers, disease prevention, perceived severity and cyberchondria, influence behaviors of online shopping, but inferiorly compared to factors of economic benefits. Especially in this article, a new theoretical contribution is proposed by adding a policy barrier factor with three components from authors. The empirical results also indicate the effects of policy barrier from Danang’s government on e-shopping behaviors.

Keywords: Covid-19; Online shopping behavior; Economic Benefits; Policy barriers.

The macroeconomic variables crude oil price, gold price, exchange rate, inflation and stock returns are highly correlated to each other and are highly volatile, and the volatility in one market spills over to other markets. This paper analyses the dynamic causality between crude oil price, exchange rate and BSE Sensex and their volatilities in India. The daily data on macro variables for 14 years between January 2006 to March 2019 is used in the GARCH estimation of causal effects of volatility spillovers. The GARCH estimates show that the volatility and volatility spillover of one market cause volatility and volatility spillovers in other markets in India. The crude oil price and exchange rate volatility and volatility spillovers cause volatility in BSE Sensex. The volatility in BSE Sensex is highly overdone by internal shocks of the stock market itself.

Keywords: Crude oil price, exchange rate, stock market, volatility, causal effect, GARCH estimation