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Advances and Applications in Statistics
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Abstract: There is an increasing importance to forecast the
exchange rate as international trading takes centre stage in more and more
countries. In this paper, we postulate some simple time series models that can
be used for quite effective and accurate forecasts in International Forex
markets of major international currencies in relation to
Kuwait
’s Dinar. We have compared various time series models and observed that
Box-Jenkins
gives the
best model for forecasting exchange rates.
Keywords and phrases: regression model, ARIMA model, seasonal index, Forex market.
Number of Downloads: 406 | Number of Views: 1305
P-ISSN: 0972-3617
Journal Stats
Publication count: 1269
Citation count (Google Scholar): 2560
h10-index (Google Scholar): 57
h-index (Google Scholar): 20
Downloads : 416931
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Citations (Google Scholar)/publish articles: 2.02