SYSTEMATIC RISKS AND STOCK MARKET VOLATILITY IN KENYA

Kinuthia David Ngugi, Dr. Ambrose Jagongo

Abstract


This study sought to evaluate the relationship between systematic risk and performance of the stock market in Kenya. The study investigated the Inflation, GDP growth rate, KES-USD Exchange rate variability, 91-day T-bill rate, and Investor herd behaviour their relationship with the performance of Stock market in Kenya. These variables were selected since empirical studies have indicated that they have an important effect on the performance of the stock prices volatility. The data of these variables is also readily available from reliable sources influenced their choice. The time scope for this study is ten years (2011- 2020). This period was chosen since within that period we have experienced major events that might have influenced the stock return volatility. The events include 2013 and 2017 general elections and announcement of Covid 19 first case in Kenya in March 2020.The study used secondary data which was obtained from Central bank of Kenya, Nairobi Securities exchange, Kenya National Bureau of Statistics and the Capital markets Authority. The key source of systematic are the key macroeconomic variables with different effects on stock market volatility based on the country. There is need for stock markets and regulators to consider systematic risks when making key decisions relating to the stock market.

Keywords: Inflation rate, GDP, Exchange rate variability, Treasury bills rate, Investor herd behavior, Stock market volatility


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