MODELLING VOLATILITY OF SUB-INDICES RETURNS OF NIGERIAN STOCK EXCHANGE USING GARCH MODEL.
Abstract
The paper examined the weekly returns of six sub-indices of the Nigeria Stock Exchange; Banking, Consumer goods, Insurance, Oil/Gas, Pension and Industrial goods indices from 2nd September 2020 to 28th February 2022. The returns were stationary at level and not normally distributed. Ljung-Box Q statistic and Ljung-Box Q2 statistics of power transformed using power 0.25, 0.5 and 0.75 for conditional heteroscedasticity for lags of 6, 12 and 20 indicates the presence of conditional heteroscedasticity in all indices returns. The study found that volatility was more persistent in APARCH model than the GARCH model. Comparatively, volatility was more persistent in Industrial goods index followed by Banking, Pension, Consumer goods, Insurance and Oil/Gas in GARCH model while volatility was more persistent in Consumer good index followed by Insurance, Pension, Industrial goods, banking and Oil/Gas in APARCH model respectively. However, Oil/Gas has the least volatile in both models. Also, there exist leverage effects in all the six indices' returns and the APARCH model is the best model for estimating and forecasting purposes for all the indices.
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Copyright (c) 2023 Agya Atabani Adi, Wunuji Emmanuel Adimani, Samuel Paabu Adda
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