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1.
African Review of Economics and Finance-Aref ; 14(1):203-228, 2022.
Article in English | Web of Science | ID: covidwho-1913140

ABSTRACT

The classical finance theory postulates that markets are informationally efficient and that the actions of arbitrageurs always bring stock prices to their correct values. Behavioural finance, on the other hand, emphasises the role of investor sentiment in the formulation of asset prices. In this study, we provide insights into the relationship between textual sentiment extracted from Twitter and stock returns in the fragile market of Zimbabwe between 24 February 2019 and 22 June 2020. Wavelet analysis is used to find the linkages between sentiment and returns in a frequency-time domain. The results from this study show that coherence is persistent and significant in highly volatile periods characterised by increasing inflation as well as during the time COVID-19 was declared a global pandemic. The findings also show that macroeconomic instability, especially hyperinflation, induces fear in investors while the onslaught of black swan events like the COVID-19 pandemic leads to greed in the financial markets as investors become uncertain about the future. The government could, therefore, prioritise macroeconomic stability as the high coherence between sentiment and returns during a crisis like the COVID-19 pandemic may lead to a crashing of the stock market. Classical finance theory, therefore, falls short in explaining the stock market returns as the evidence in the study shows that investors are susceptible to investor sentiment.

2.
Macroeconomics and Finance in Emerging Market Economies ; 2021.
Article in English | Scopus | ID: covidwho-1337225

ABSTRACT

The study investigates the dynamic relationship between trading volume and stock returns on the JSE. The results show prima facie evidence of causality from returns to trading volume in the middle quantiles of the conditional distributions in stable periods as well as the full sample, and this causal relationship disappears during the in-crisis and the post-COVID periods. Second, it is observed that the highest impact occurs in the middle of the conditional distribution but not necessarily the median. Third, across all the samples used in the study, no evidence is found of causality from trading volume to return. © 2021 Informa UK Limited, trading as Taylor & Francis Group.

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