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1.
Are African stock markets efficient? : a comparative analysis between six African markets, the UK, Japan and the USA in the period of the pandemic
Rui Dias, João M. Pereira, Luísa Cagica Carvalho, 2022, original scientific article

Abstract: The aim of this study is to test and compare the efficient market hypothesis, in its weak form, on the stock markets of Botswana, Egypt, Kenya, Morocco, Nigeria, South Africa, Japan, the UK and the USA from 2 September 2019 to 2 September 2020. This study is based on the following research question: has the global pandemic (COVID-19) reduced the efficiency – in its weak form – of African financial markets compared to the mature markets of the UK, Japan and the USA? The results sustain the evidence that the random walk hypothesis is not supported by the financial markets analysed in the period of the global pandemic. The variance ratio values are lower than the unit, which implies that the returns are self-correlated over time. A reversion to the average is also observed, with no differences identified between mature and emerging financial markets. In corroboration, the Detrended Fluctuation Analysis (DFA) exponents show that the financial markets present signs of (in)efficiency in its weak form, thus showing persistence in the yields. This therefore implies the existence of long memories validating the results of the variance using the Wright’s Rank and Signs Test (2000), which prove the rejection of the random walk hypothesis.
Keywords: African stock markets, efficient market hypothesis, mean reversion, random walk
Published in DKUM: 19.06.2023; Views: 399; Downloads: 32
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2.
Long memory in the Croatian and Hungarian stock market returns
Mejra Festić, Alenka Kavkler, Silvo Dajčman, 2012, original scientific article

Abstract: The objective of this paper is to analyze and compare the fractal structure of the Croatian and Hungarian stock market returns. The presence of long memory components in asset returns provides evidence against the weak-form of stock market effi ciency. The starting working hypothesis that there is no long memory in the Croatian and Hungarian stock market returns is tested by applying the Kwiatkowski-Phillips-Schmidt-Shin (KPSS) (1992) test, Loʼs (1991) modified rescaled range (R/S) test, and the wavelet ordinary least squares (WOLS) estimator of Jensen (1999). The research showed that the WOLS estimator may lead to different conclusions regarding long memory presence in the stock returns from the KPSS and unit root tests or Loʼs R/S test. Furthermore, it proved that the fractal structure of individual stock returns may be masked in aggregated stock market returns (i.e. in returns of stock index). The main finding of the paper is that both the Croatian stock index Crobex and individual stocks in this index exhibit long memory. Long memory is identified for some stocks in the Hungarian stock market as well, but not for the stock market index BUX. Based on the results of the long memory tests, it can be concluded that while the Hungarian stock market is weak form efficient, the Croatian stock market is not.
Keywords: stock market, long memory, efficient-market hypothesis, Croatia, Hungary
Published in DKUM: 18.07.2017; Views: 1163; Downloads: 104
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