2022
DOI: 10.1016/j.heliyon.2022.e08808
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Stock market efficiency: An intraday case of study about the G-20 group

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Cited by 21 publications
(19 citation statements)
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“…Considering the above, and accordingly to the authors Silva et al (2020), Zebende et al (2022) understanding the degree of linkages and correlations of the assets markets, as well as evaluating the co-movements degree can help the investors to diversify their asset portfolio and consequently reduce their risk exposure, as well as leverage their earnings, since the diagnosis of the degree of the integration will allow the identification of whether the assets have similar returns, if they are assets belonging to integrated markets, or if, due to their exposure to different sources of risk, they have differentiated returns and, therefore, constitute assets that are part of the segmented market. This article will analyze the co-movements between the G7 stock market, such as DJ index, S&P500 (representing the USA stock market), FTSE 100 (United Kingdom), S&P/TSX (Canada), DAX 30 (Germany), CAC 40 (France), Nikkei 225 (Japan), Italy Ds market (Italy) and the cryptocurrencies Bitcoin (BTC), Litecoin (LTC), Ethereum (ETH) and Crypto 10.…”
Section: Introductionmentioning
confidence: 95%
“…Considering the above, and accordingly to the authors Silva et al (2020), Zebende et al (2022) understanding the degree of linkages and correlations of the assets markets, as well as evaluating the co-movements degree can help the investors to diversify their asset portfolio and consequently reduce their risk exposure, as well as leverage their earnings, since the diagnosis of the degree of the integration will allow the identification of whether the assets have similar returns, if they are assets belonging to integrated markets, or if, due to their exposure to different sources of risk, they have differentiated returns and, therefore, constitute assets that are part of the segmented market. This article will analyze the co-movements between the G7 stock market, such as DJ index, S&P500 (representing the USA stock market), FTSE 100 (United Kingdom), S&P/TSX (Canada), DAX 30 (Germany), CAC 40 (France), Nikkei 225 (Japan), Italy Ds market (Italy) and the cryptocurrencies Bitcoin (BTC), Litecoin (LTC), Ethereum (ETH) and Crypto 10.…”
Section: Introductionmentioning
confidence: 95%
“…Considering the above, and accordingly to the authors Silva et al (2020), Zebende et al (2022) understanding the degree of linkages and correlations of the assets markets, as well as evaluating the co-movements degree can help the investors to diversify their asset portfolio and consequently reduce their risk exposure, as well as leverage their earnings, since the diagnosis of the degree of the integration will allow the identification of whether the assets have similar returns, if they are assets belonging to integrated markets, or if, due to their exposure to different sources of risk, they have differentiated returns and, therefore, constitute assets that are part of the segmented market.…”
mentioning
confidence: 95%
“…The effects of the global pandemic of 2020 (COVID-19) have been affecting negatively the economy on a global scale, originating very significant impacts on the financial market across the world, causing significant losses to the investors in a short period of time. In line with all the negative effects, it seems inevitable that the stock market, economic growth, and exchange rates had also been affected in the same way (Dias et al, 2021c;Vasco et al, 2021;Zebende et al, 2022).…”
mentioning
confidence: 99%
“…In more recent studies, Zebende et al (2022), andDias et al (2022) measured the efficiency of several financial markets, to check whether returns followed a random walk process, that is, whether there was evidence that returns were autocorrelated over time. Zebende et al (2022) used intraday data to measure market efficiency, in its weak form, in G20 capital markets.…”
Section: Literature Reviewmentioning
confidence: 99%
“…In more recent studies, Zebende et al (2022), andDias et al (2022) measured the efficiency of several financial markets, to check whether returns followed a random walk process, that is, whether there was evidence that returns were autocorrelated over time. Zebende et al (2022) used intraday data to measure market efficiency, in its weak form, in G20 capital markets. For this purpose, the entire analysis was divided into two different time scales: Period I, with a time scale of less than five days and Period II, with a time scale of more than ten days.…”
Section: Literature Reviewmentioning
confidence: 99%