Behaviour of Johannesburg Stock Exchange All Share Index Returns - An Asymmetric GARCH and News Impact Effects Approach

Carl H. Korkpoe () and Peterson Owusu Junior
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Carl H. Korkpoe: University of Cape Coast, Cape Coast, Ghana Department of Computer Science, School of Physical Sciences.

SPOUDAI Journal of Economics and Business, 2018, vol. 68, issue 1, 26-42

Abstract: We investigated the behaviour of returns of the Johannesburg Stock Exchange All Share Index using asymmetrical exponential-GARCH(1,1) and GJR-GARCH(1,1) incorporating the market reactions to news. We noted the returns distribution is skewed and have fat-tails with respect to the normal distribution. Thus we chose the skewed student t-distribution asymmetry to model the behaviour of the tails and capture the asymmetry in the distribution of the returns. The GJR-GARCH(1,1) with the skewed student t-distribution was found to be appropriate in describing the data generation process for the returns. The market was shown to react to news unequally. Volatility spikes sharply when unexpected adverse news reaches the market while remaining unresponsive for a large part to positive news. For investors this has implications for trading strategies and risk management with respect to equity portfolio risk and returns on the stock exchange. Bad news reaching the market can destabilize their portfolios. Risk mitigating actions by way of 'hedging' against the noise in the news is warranted.

Keywords: Backtesting; E-GARCH; GJR-GARCH; Volatility; News Impact (search for similar items in EconPapers)
JEL-codes: C01 C5 C58 (search for similar items in EconPapers)
Date: 2018
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