This study assesses the effect of COVID-19 proxied by the number of confirmed cases of the infection and deaths on Nigeria’s stock market over the 23rd March to 11th September 2020 period using the autoregressive distributed lag (ARDL), canonical cointegrating regression (CCR), dynamic ordinary least squares (DOLS) and fully modified ordinary least squares (FMOLS) techniques. The bounds test to cointegration result reveals that a long-run relationship exists between COVID-19 and Nigeria’s stock market (along with oil prices and exchange rate). The results of the various estimations demonstrate that COVID-19 (proxied by the number of confirmed cases of infection) has a negative and significant impact on stock market performance, while the number deaths has a positive and significant impact on the market in the long-run. In addition, oil prices and exchange rate have a significant and positive effect on stock market performance in the long-run. Similar results were found for sub-sectors including consumer goods and healthcare sub-sectors of the stock market. The study recommends policies to curb the spread of the virus

This study is an attempt to interrogate the effects of deceptive advertising on consumer loyalty in telecommunication industry of Pakistan. Four variables, Call Charges (CC), Network Coverage (NC), Network Quality (NQ) and Customer Service (CS) were used to measure deception in Telecom Ads and then its effect on consumer loyalty while the consumer preference is used as the proxy of consumer loyalty. 10,000 random individuals from telecom industry were selected to conclude the results. Testing specification confirmed that the deception overwhelmingly exists in telecom ads and none of the telecom companies were providing exactly the same quality of service in terms of Call Charges, Network Coverage, Network Quality and Customer Service, as they promise in their advertisements, while, the consumers are inclined towards the services where the deceptions are seemingly meager.