Beta, as a measure of risk based on market prices of shares, has been widely debated and researched in the strong, semi-strong and weak markets. It has been proved that there is neither negative nor abnormal beta. Past studies rarely considered frontier and infant markets such as Dar es Salaam Stock Exchange (DSE) while studying beta and its behavior. By means of the corresponding closing share prices of 17 companies during a continuous 246-day trading period in 2018 extracted from DSE database, this study examines the trading frequency anomalies in infant markets by testing returns and sensitivity of shares and portfolios. Through computing the betas of DSE traded shares, this study has found many abnormalities. The shares showed infrequent trading like bonds. The prices were constant over a short period of time, and sometimes the shares were not traded at all. Due to this small volatility, the shares showed abnormal behavior which resulted in negative beta sometimes. We concluded that this could be due to two major reasons. Firstly, there is insufficient knowledge on the share market among the East African investors and the public, and secondly, the markets are rather young and the trading platforms and infrastructures are not so well-established. We, therefore, suggest the policy makers to optimize share trading in the region by considering the findings of this study.

This study aims at quantifying fundamental components such as the country economy, stock market development, economic sectors, and company’s performance computed by Data Envelopment Analysis (DEA) built-in MATLAB program and combined using a top-down approach. It was conducted in the East African region specifically Kenya, Tanzania, Uganda, and Rwanda from 2015 to 2018. A secondary data extracted from the listed company’s websites, capital market authorities of each country, and World Bank. The study found that the combined performance of various components has a great impact on screening the stocks to be used for portfolio construction. It gives a signal to the authorities of capital markets, investors, policymakers, and other regulatory bodies to take immediate measures on designing policies and best practices. Further recommendation to the capital market authorities within the region is to ensure the growth of managerial and operational performance of stock exchanges. Also, regulatory bodies, policymakers, and higher-level administration of each country within the region to take responsibility to uplift the country's economy as well as economic sectors growth. The board of directors and management of listed companies should formulate strategies to improve both managerial and operational performance.

This study aims at quantifying fundamental components such as the country economy, stock market development, economic sectors, and company’s performance computed by Data Envelopment Analysis (DEA) built-in MATLAB program and combined using a top-down approach. It was conducted in the East African region specifically Kenya, Tanzania, Uganda, and Rwanda from 2015 to 2018. A secondary data extracted from the listed company’s websites, capital market authorities of each country, and World Bank. The study found that the combined performance of various components has a great impact on screening the stocks to be used for portfolio construction. It gives a signal to the authorities of capital markets, investors, policymakers, and other regulatory bodies to take immediate measures on designing policies and best practices. Further recommendation to the capital market authorities within the region is to ensure the growth of managerial and operational performance of stock exchanges. Also, regulatory bodies, policymakers, and higher-level administration of each country within the region to take responsibility to uplift the country's economy as well as economic sectors growth. The board of directors and management of listed companies should formulate strategies to improve both managerial and operational performance.