1977
DOI: 10.1016/0304-405x(77)90029-0
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Spot rates, forward rates and exchange market efficiency

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Cited by 171 publications
(93 citation statements)
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“…It was Muth (1961) who developed the econometric version of the Rational Expectations Hypothesis. Following his work, numerous studies have been conducted to test the unbiasedness of the forward exchange rate as a predictor of the spot exchange rate in the future; for example, Cornell (1977), Geweke and Feige (1979), Hansen and Hodrick (1980), Longworth (1981), and Frenkel (1981). There also exist empirical studies for commodities, including those of Goss (1983), and Pieroni and Riociarelli (2005).…”
Section: Examination Of Alternative Predictors Of Spot Pricesmentioning
confidence: 99%
“…It was Muth (1961) who developed the econometric version of the Rational Expectations Hypothesis. Following his work, numerous studies have been conducted to test the unbiasedness of the forward exchange rate as a predictor of the spot exchange rate in the future; for example, Cornell (1977), Geweke and Feige (1979), Hansen and Hodrick (1980), Longworth (1981), and Frenkel (1981). There also exist empirical studies for commodities, including those of Goss (1983), and Pieroni and Riociarelli (2005).…”
Section: Examination Of Alternative Predictors Of Spot Pricesmentioning
confidence: 99%
“…From an econometric standpoint, Cornell (1977), Frankel (1980, Chiang andJiang (1995), andZhou (1996) examine whether the current spot, the forward rate or the futures price can be used as an unbiased predictor of the spot rate itself at some future date. From the same point of view, it is possible to use the recent time series tools of cointegration, ARCH and GARCH techniques to detect possible market inefficiencies.…”
Section: Review Of the Literaturementioning
confidence: 99%
“…From an econometric standpoint, Cornell (1977), Frankel (1980, Chiang andJiang (1995), andZhou (1996) examine whether the current spot, the forward rate or the futures price can be used as an unbiased predictor of the spot rate itself at some future date. From the same point of view, it is possible to use the recent time series tools of cointegration, ARCH and GARCH techniques to detect possible market inefficiencies.…”
Section: Review Of the Literaturementioning
confidence: 99%