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Analysis of foreign exchange rates with the Box-Jenkins approach (Arima), theudExponential Smoothing, The Winters, The Add-Winters and the Stepar Methodudud

机译:使用Box-Jenkins方法(Arima)分析外汇汇率指数平滑,冬天,附加冬天和阶梯方法 ud ud

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摘要

Globalization is increasingly widespread in all sectors pushing higher and higher rate of growth. The rate at which growing economic sector, especially in the field of trade between countries can not be dammed again, this is seen from free trade that has been on the run in 2010. Competition is so tight in the field of trade to economic selection between countries that compete in global markets. The exchange rates have an important role in economic globalization is a highlight authors to see whether economic variables that have a close relationship with the exchange rate so vulnerable affected by economic variables as well as non-economic variables and predicting exchange rates so volatile a few periods ahead.ududThe purpose of this study is to determine how the influence of the difference of M2, the difference in GDP, difference interest rates, foreign inflation and balance of payments is the difference between Indonesia and Singapore to exchange Rp/S $. Economic models and econometric models used in this study is the model of Frenkel-Bilson, Hooper- Morton model and the Dornbusch-Frenkel model. The data used is data processed in the form of monthly data by using the procedure expand the period 2003.01-2008.12.. In this study, all data were tested with the unit root test and classical assumption. Models estimated using OLS (Ordinary Least Square). The method of forecasting using Box- Jenkins (Arima), the Exponential Smoothing, The Winters, The Add-Winters and the Stepar Method.ud
机译:全球化在所有部门中越来越普遍,推动着越来越高的增长率。从2010年开始的自由贸易可以看出,经济部门的增长速度,尤其是国家间贸易领域的增长速度无法再次受到抑制。从贸易领域到经济选择之间的竞争如此激烈。在全球市场竞争的国家。汇率在经济全球化中具有重要作用是一位亮点作者,他探讨了与汇率密切相关的经济变量是否易受经济变量以及非经济变量的影响,并预测汇率在如此短时期内的波动性。 ud ud这项研究的目的是确定M2差异,GDP差异,利率差异,外国通货膨胀和国际收支差异如何影响印尼和新加坡之间的汇率Rp / S $ 。本研究中使用的经济模型和计量经济学模型是Frenkel-Bilson模型,Hooper-Morton模型和Dornbusch-Frenkel模型。所使用的数据是通过使用在2003.01-2008.12期间扩展的程序以月度数据的形式处理的数据。在本研究中,所有数据均使用单位根检验和经典假设进行了检验。使用OLS(普通最小二乘法)估算的模型。使用Box-Jenkins(Arima),指数平滑法,The Winters,Add-Winters和Stepar方法进行预测的方法。 ud

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    Vanesha Ariza;

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