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Persistent stock market returns volatility in emerging capital markets as evidenced in Tanzania

Persistent stock market returns volatility in emerging capital markets as evidenced in Tanzania This study examined the stock returns volatility in Dar es Salaam Stock Exchange for the year 1998 through 2018 period. The study employed quantitative research design on time series data in which autoregressive conditional heteroskedasticity and generalised autoregressive conditional heteroskedasticity models were used determine the existence of volatility. The study employed Win Rat and E-views Econometric software for data analysis. Serial correlation and unit root analysed to determine seasonal dependencies of the stock market returns and stationarity, respectively. Results showed that all-time series of returns were non-stationary except at market level and volatility of stock returns had a constant decaying coefficient value of 0.75 per trading period. The study concluded that the shocks to volatility were more persistent and had a slower and constant decaying rate in various trading periods in DSE. Therefore, it was recommended that the public should buy and sell shares in the market. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png African Journal of Economic and Sustainable Development Inderscience Publishers

Persistent stock market returns volatility in emerging capital markets as evidenced in Tanzania

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
2046-4770
eISSN
2046-4789
DOI
10.1504/AJESD.2021.116640
Publisher site
See Article on Publisher Site

Abstract

This study examined the stock returns volatility in Dar es Salaam Stock Exchange for the year 1998 through 2018 period. The study employed quantitative research design on time series data in which autoregressive conditional heteroskedasticity and generalised autoregressive conditional heteroskedasticity models were used determine the existence of volatility. The study employed Win Rat and E-views Econometric software for data analysis. Serial correlation and unit root analysed to determine seasonal dependencies of the stock market returns and stationarity, respectively. Results showed that all-time series of returns were non-stationary except at market level and volatility of stock returns had a constant decaying coefficient value of 0.75 per trading period. The study concluded that the shocks to volatility were more persistent and had a slower and constant decaying rate in various trading periods in DSE. Therefore, it was recommended that the public should buy and sell shares in the market.

Journal

African Journal of Economic and Sustainable DevelopmentInderscience Publishers

Published: Jan 1, 2021

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