2019
DOI: 10.1016/j.physa.2019.121296
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An empirical analysis on the degree of Gaussianity and long memory of financial returns in emerging economies

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Cited by 18 publications
(10 citation statements)
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References 23 publications
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“…The rejection of the null hypothesis, i.i.d., can be explained, among other factors, by the existence of autocorrelation or by the existence of heteroscedasticity in the stock market index series, in which case the rejection of the null hypothesis is explained by non-linear dependence on the data. These results are in line with the studies of the authors Ferreira and Dionísio (2016), Aggarwal (2018), Pernagallo and Torrisi (2019), which evidence the existence of persistence and memories in the stock market indices. In order to estimate the occurrence of financial contagion between the financial markets of the LAC Region and the U.S., the unconditional correlations were estimated, and the statistical significance examined.…”
Section: Source: Own Elaborationsupporting
confidence: 92%
“…The rejection of the null hypothesis, i.i.d., can be explained, among other factors, by the existence of autocorrelation or by the existence of heteroscedasticity in the stock market index series, in which case the rejection of the null hypothesis is explained by non-linear dependence on the data. These results are in line with the studies of the authors Ferreira and Dionísio (2016), Aggarwal (2018), Pernagallo and Torrisi (2019), which evidence the existence of persistence and memories in the stock market indices. In order to estimate the occurrence of financial contagion between the financial markets of the LAC Region and the U.S., the unconditional correlations were estimated, and the statistical significance examined.…”
Section: Source: Own Elaborationsupporting
confidence: 92%
“…The rejection of the null hypothesis, i.i.d., can be explained, among other factors, by the existence of autocorrelation or by the existence of heteroscedasticity in the series of scholarship indices, cases in which the rejection of the null hypothesis is explained by nonlinear dependence on the data. These results are in line with studies by the authors Pernagallo and Torrisi (2019) that show the existence of persistence in the profitability of financial markets.…”
Section: Source: Own Elaborationsupporting
confidence: 93%
“…Ngene, Tah, and Darrat [14], Ali, Shahzad, Raza, and Al-Yahyaee [15], Pernagallo and Torrisi [16] investigated whether international markets follow the random walk hypothesis. Ngene, Tah, and Darrat [14] examined 18 emerging markets in the presence of multiple unscheduled and successive structural breakdowns.…”
Section: Literature Reviewmentioning
confidence: 99%