2014
DOI: 10.1016/j.iref.2013.10.004
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Structural breaks and long memory in modeling and forecasting volatility of foreign exchange markets of oil exporters: The importance of scheduled and unscheduled news announcements

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Cited by 57 publications
(21 citation statements)
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“…The findings of this study differed from the findings of Cajueiro & Tabak (2004), who found in their study that equity markets were becoming efficient over time. At the same time, the results of the study confirmed the findings of Walid Mensi et al (2014), who concluded that the sample exchange rate recorded long memory, but with little evidence. Copeland (1991) argued that exchange rates could not be cointegrated in an efficient market if the currencies were different assets.…”
Section: Resultssupporting
confidence: 85%
“…The findings of this study differed from the findings of Cajueiro & Tabak (2004), who found in their study that equity markets were becoming efficient over time. At the same time, the results of the study confirmed the findings of Walid Mensi et al (2014), who concluded that the sample exchange rate recorded long memory, but with little evidence. Copeland (1991) argued that exchange rates could not be cointegrated in an efficient market if the currencies were different assets.…”
Section: Resultssupporting
confidence: 85%
“…This author distinguishes between information spillovers and common information effects. Accordingly, ignoring regime shifts leads to spurious extreme persistence and incomplete inferences about asymmetric volatility (Mensi et al, 2013).…”
Section: What Does the Empirical Literature Say?mentioning
confidence: 99%
“…In order to detect structural breaks and test which way these undesirable features affect asset allocation and the hedging strategies, we utilize the modified Iterative Cumulative Sum of Squares (ICSS) algorithm of Sansó et al (2004). Some papers, such as Kang et al (2009), Mensi et al (2014, Vivian and Wohar (2012), Živkov et al (2015), Mirović et al (2017) determined structural breaks via ICSS test and inserted dummy variables as a way of enhancing the GARCH model properties.…”
Section: Iii2 Test Of Multiple Structural Break Detection In Variancementioning
confidence: 99%