2017
DOI: 10.1016/j.eneco.2017.04.031
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Does speculation in the oil market drive investor herding in emerging stock markets?

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Cited by 62 publications
(55 citation statements)
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“…For example, Galariotis et al (2016) find no evidence of herding in the bond market during the EU crisis, and Yarovaya et al (2020) do not provide evidence of herding in cryptocurrency markets during the COVID-19 pandemic crisis. While, studies on stock markets commonly document that during financial crises herding is amplified (see Balcılar et al, 2017 , Clements et al, 2017 , Economou et al, 2018 ). Differently from historical previous business cycle recessions and financial crises, which were essentially driven by structural causes (e.g., the Global Financial Crisis of 2008–2009) ( Sharif et al, 2020 ), the ongoing financial crisis was driven by a sudden, sharp COVID-19 shock.…”
Section: Hypotheses Developmentmentioning
confidence: 99%
“…For example, Galariotis et al (2016) find no evidence of herding in the bond market during the EU crisis, and Yarovaya et al (2020) do not provide evidence of herding in cryptocurrency markets during the COVID-19 pandemic crisis. While, studies on stock markets commonly document that during financial crises herding is amplified (see Balcılar et al, 2017 , Clements et al, 2017 , Economou et al, 2018 ). Differently from historical previous business cycle recessions and financial crises, which were essentially driven by structural causes (e.g., the Global Financial Crisis of 2008–2009) ( Sharif et al, 2020 ), the ongoing financial crisis was driven by a sudden, sharp COVID-19 shock.…”
Section: Hypotheses Developmentmentioning
confidence: 99%
“…For the purpose of conducting tests of herding behaviour, many studies have examined if the stock market also shows herding behaviour around the crude oil market ([ 43 , 44 ] Balcilar et al, 2014, 2017 [ 45 ]; Ulussever and Demirer, 2017) [ 21 ]. BenMabrouk and Litimi (2018) examined all domestic US firms listed on NYSE, AMEX and NASDAQ, from 2000 to 2017, and concluded that US industries display significant herding behaviour for both upturn/downturn extreme oil market returns, although herding behaviour is more prevalent during extreme downturns in oil prices.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The methodology to detect herding follows number of studies including Chang et al (2000), Tan et al (2008), Demirer et al (2010Demirer et al ( , 2014, Chiang and Zheng (2010), Economou et al (2011), Balcilar et al (2013Balcilar et al ( , 2014Balcilar et al ( , 2017, Babalos et al (2013Babalos et al ( , 2015 and Balcilar and Demirer (2015), among others. Originally, developed by Christie and Huang (1995) and later improved by Chang et al (2000), the test employs return data across securities of similar characteristics.…”
Section: Methodsmentioning
confidence: 99%
“…We calculate daily returns for stocks (in domestic currency) as the first difference of the natural logarithm of the stock price. Oil returns are calculated using the Brent crude oil price as this type of oil represents the global benchmark (Balcilar et al, 2017). In addition to the tests over the whole sample period, we also perform a sub-period analysis following the break dates based on Bai and Perron (2003) structural break tests.…”
Section: Datamentioning
confidence: 99%