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dc.creatorPatel, Mona Dinesh
dc.date.accessioned2012-06-07T22:50:04Z
dc.date.available2012-06-07T22:50:04Z
dc.date.created1997
dc.date.issued1997
dc.identifier.urihttps://hdl.handle.net/1969.1/ETD-TAMU-1997-THESIS-P38
dc.descriptionDue to the character of the original source materials and the nature of batch digitization, quality control issues may be present in this document. Please report any quality issues you encounter to digital@library.tamu.edu, referencing the URI of the item.en
dc.descriptionIncludes bibliographical references: p. 47-49.en
dc.descriptionIssued also on microfiche from Lange Micrographics.en
dc.description.abstractArbitrage between the New York and London futures markets is an active event. The price spread between the New York and London futures markets, is affected by factors concerning the supply and demand of each commodity and the world coffee market. The New York futures price for coffee is the premium price and this reflects both short run differences in expected demands and supplies, as well as long run factors, such as tastes and preferences. If the supply of London coffee falls short, the premium between the two markets narrows and this allows for arbitrage possibilities. In the long run the premium widens, as exporters will purchase comparatively more of the New York coffee, driving its price up and therefore returning the premium to its usual level. To determine whether or not arbitrage is possible between the New York and London coffee futures markets, a test for cointegration was performed. Usually, if two markets have a cointegrating relationship, arbitrage opportunities exist. Cointegration signifies a long-term equilibrium relationship between two or more series. The process of testing for cointegration between the New York and London coffee futures prices involved two steps. The first is to determine stationarity and the second is to test for cointegration. Using the Dickey-Fuller and Augmented Dickey-Fuller tests, both of the data series were tested for stationarity. The data were transformed to induce stationarity. The second step is to test for cointegration, and this was performed using the Durbin-Watson test and the Dickey-Fuller test. These tests concluded that a cointegration relationship is present. To determine when the arbitrage opportunities occur, two forecasts models were developed. The error-correction model and the vector autoregression model were considered for the New York market, and the error correction model forecasts outperformed the vector autoregression model.en
dc.format.mediumelectronicen
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherTexas A&M University
dc.rightsThis thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries in 2008. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use.en
dc.subjectagricultural economics.en
dc.subjectMajor agricultural economics.en
dc.titleTesting for cointegration between the New York and London futures markets for coffeeen
dc.typeThesisen
thesis.degree.disciplineagricultural economicsen
thesis.degree.nameM.S.en
thesis.degree.levelMastersen
dc.type.genrethesisen
dc.type.materialtexten
dc.format.digitalOriginreformatted digitalen


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