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影響匯率反轉因素之分析:未預期總體訊息與技術指標

Analysis of the Exchange Rate Trend Reversion Factors: Unexpected Macroeconomic News and Technical Indices

摘要


本文應用非預期之總體訊息指標與技術分析指標於多分類羅吉斯迴歸模型,以探討影響歐元、英鎊、加幣與日圓走勢反轉的因素。本文研究的主要結論為:1.不論是美國聯準會或是歐洲央行的訊息對於解釋匯率的反轉影響都非常重要,其它指標例如美國的銷售及國際收支情形,以及歐元區通膨、製造業及銷售狀況或有影響力,但其重要性均遠不如央行指標;2.在技術面指標方面,除了歐元反轉可由MACD與KD來解釋外,其它三種貨幣的反轉是被開收盤價差(OP/CL)所解釋。

並列摘要


This research studies the dominant trend reversion factors of exchange rate by Multi-nominal Logistic Regression model. Unexpected U.S. and Euro zone macroeconomic news and technical analysis indices are tested on four exchange rates, EUR/USD, GBP/USD, USD/CAD, and USD/JPY. The results indicate that the unexpected central bank news is by far the most important factors among all the macroeconomic news tested. In respect of the technical indices, only KD and MACD have slight impact on EUR/USD's reversion, while the difference of close and open prices has significant explanatory power on the trend reverse of GBP/USD, USD/CAD, and USD/JPY.

參考文獻


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被引用紀錄


蔡志明(2015)。亞洲主要貨幣外匯操作績效的實證分析-在金融風暴與非金融風暴期間〔碩士論文,國立中正大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0033-2110201614012341
林維謙(2016)。應用灰關聯分析與類神經網路於歐元漲跌預測模式建立之研究〔碩士論文,義守大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0074-2008201619272300

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