2001
DOI: 10.1016/s1044-0283(01)00020-5
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US exports and time-varying volatility of real exchange rate

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Cited by 32 publications
(14 citation statements)
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“…The empirical studies that fall in the second category by showing a negative relationship between exchange rate volatility and international trade include Mougoué and Aggarwal (2011); Mukherjee and Pozo (2011); Spronk et al (2013); Serenis and Tsounis (2013); Byrne et al (2008); Schnabl (2008); Sukar and Hassan (2001); Bahmani-Oskooee (2002). In general, these studies highlighted that the fluctuations in the exchange rate of the host country can adversely affect the trading activity and ultimately the trading volume can be decreased.…”
Section: Exchange Rate Volatility and International Tradementioning
confidence: 99%
“…The empirical studies that fall in the second category by showing a negative relationship between exchange rate volatility and international trade include Mougoué and Aggarwal (2011); Mukherjee and Pozo (2011); Spronk et al (2013); Serenis and Tsounis (2013); Byrne et al (2008); Schnabl (2008); Sukar and Hassan (2001); Bahmani-Oskooee (2002). In general, these studies highlighted that the fluctuations in the exchange rate of the host country can adversely affect the trading activity and ultimately the trading volume can be decreased.…”
Section: Exchange Rate Volatility and International Tradementioning
confidence: 99%
“…Some studies show that the Dickey-Fuller tests have low power in distinguishing between the null and the alternative hypothesis. These studies suggest performing tests of the null hypothesis of mean stationarity against an alternative of a unit root in order to decide whether the time series data are stationary or integrated (Sukar and Hassan, 2001). Thus, KPSS unit root test uses Lagrange Multiplier (LM) statistic for testing the null hypothesis of the time series is stationary around a deterministic trend against the alternative hypothesis of nonstationary.…”
Section: Unit Root Testmentioning
confidence: 99%
“…Equilibrium price and quantity are determined by the interaction of supply and demand. Usually the assumption of infinitely elastic export supply and so exogenous own export price is made in previous empirical studies; see Arize (1995), Sukar and Hassan (2001), Bredin et al (2003) and de Vita and Abbott (2004) among others. In this paper, we pursue these studies and draw on Boug et al (2006) who provide evidence that Norwegian exporters of machinery and equipment follow much more closely the prices of competitors than domestic costs in setting their export prices.…”
Section: The Economic Backgroundmentioning
confidence: 99%
“…Moreover, as assessed by Pagan and Ullah (1988), they are likely to suffer from the measurement error problem and as such produce biased estimates of the impact of risk on the decision making of economic agents. An alternative volatility measure used with increasing frequency -which does not suffer from these shortcomings − is based on the autoregressive conditional heteroscedasticity (ARCH) model introduced by Engle (1982) and extended versions, see Kroner and Lastrapes (1993), Caporale and Doroodian (1994), Lee (1999), Sukar and Hassan (2001) and Choudhry (2005) among others. Indeed, ARCH based measures of volatility are likely to produce consistent estimates of parameters of interest in (2), but potentially inefficient ones due to the generated regressor problem, cf.…”
Section: The Measure Of Exchange Rate Volatilitymentioning
confidence: 99%
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