In 2016, the performance of Capital markets in Africa experienced a downward trend. Notable among them were Zambia, Ghana and Nigeria (http://www.african-markets.com/). The Lusaka Securities Exchange (LuSE) share price index was the worst performer year-to-date, down 26.83% in local currency. Among the contributing factors cited were commodity prices as the country relies on copper for more than 70% of its export revenue and had therefore suffered from commodity prices plunged which led to weakened currencies and widened budget shortfalls (http://www.african-markets.com/). Although the contributing factors are known, their impact on the Zambian stock market is not known. This study was an attempt to establish the impact of commodity prices and macroeconomic factors on the stock market returns. Like in similar studies, Nordin et al. (2014) The findings of the study revealed Interest rates, exchange rates, copper and Oil price jointly have the long and short Run impact on the Lusaka Stock Market, but individually, only interest rates and copper prices had a significant long term impact on the stock market, but in the short run only Copper and Exchange rates had an immediate impact on the stock market. One important policy implication of this study is that it will alert the authorities and the investors on the impact of commodity prices, interest rate, and the exchange rate on the Lusaka Securities Exchange stock market performance.
Purpose: The capital asset pricing model (CAPM) is one of the basic models in the security price analysis.Many asset pricing models have been developed to improve the CAPM.Among such models is the latest Fama and French five factor model which is being empirically tested in various stock markets. This study tested the five factor model in comparison to the capital asset pricing model. Testing the Fama and French Five factor model in comparison to the CAPM was important because the CAPM is widely taken to be the basic model in the security price analysis. Methodology: The Fama and French methodology was used to test the data from an emerging market, the Lusaka Securities Exchange. A deductive, quantitative research design and secondary data from the Lusaka Securities Exchange was used. Data was analyzed using multiple regression. Results: The results indicate that the Five Factor model is better than the CAPM in capturing variation in the stock returns. The Adjusted R-squared for the five factor model from all individual portfolio sorting was 0.9, while that for the CAPM was 0.13 Unique contribution to theory, practice and policy: This study has contributed to theory in that it has added a voice to the ongoing debt on the suitability of the new Fama and French Five Factor model which is at the cutting hedge in finance theory.Further the study is from developing capital market. Keywords:, CAPM, Stock returns, Fama and French five factor model
Background:The Fama and French five-factor model (FF5M) is one of the stock valuation model that is on the cutting edge of finance research. Results from the empirical tests from various stock markets were the FFM5 has been tested since its launch in 2014 are mixed. Hence, it is important that empirical evidence testing the FF5M in comparison with lower models such as the Fama and French three-factor model (FF3M) and the Capital Asset Pricing Model (CAPM) is documented.Aim: To identify a research gap that still remains to be filled relating to stock valuation models in the field of finance. Conclusion:The results of the empirical evidence have revealed that although the FF5M is a great milestone in stock pricing models, it has also left room for better models to be further developed from it in future.
Digital marketing is the promotion of products and services using the internet and digital technologies such as computers, mobile phones, websites and social media platforms. Digital marketing has been increasingly popular in recent years. Due to restrictions in travelling during the Covid-19 pandemic people spent more time online than before a situation that caused digital marketing become a key tool in the hands of brands and marketers. Customer behavior had evolved and technology had advanced due to the above. The purpose of the descriptive study was to evaluate the influence of digital marketing on consumer involvement in Zambia during the Covid-19 pandemic. SMEs and group administrators for social media groups involved in online marketing, selling and buying of products were among the most common respondents. The study found that during the pandemic there was an increase in digital marketing and online business activities, indicating a positive impact on consumer participation in digital marketing and that cultural practice had no bearing on customers’ decisions to buy things online. KEYWORDS: Covid19, Digital Marketing, Online buying, selling, consumer involvement
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