Understanding the pattern of stock market volatility is important to investors as well as for investment policy. Volatility is directly associated with risks and returns, higher the volatility the more financial market is unstable. The volatility of the Zimbabwean stock market is modeled using...

The class of generalized autoregressive conditional heteroscedastic (GARCH) models has proved particularly valuable in modelling time series with time varying volatility. These include financial data, which can be particularly heavy tailed.This paper investigates the time-series behavior of...

Volatility is essential to consider uncertainty surrounding investments in financial assets. For this reason, financial industry regulators, mutual fund managers, individual and institutional investors, and policymakers are concerned about volatility. Against this background, this paper...