博碩士論文 944209010 完整後設資料紀錄

DC 欄位 語言
DC.contributor經濟學系zh_TW
DC.creator林聖智zh_TW
DC.creatorSHEN-CHIH LINen_US
dc.date.accessioned2007-7-16T07:39:07Z
dc.date.available2007-7-16T07:39:07Z
dc.date.issued2007
dc.identifier.urihttp://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=944209010
dc.contributor.department經濟學系zh_TW
DC.description國立中央大學zh_TW
DC.descriptionNational Central Universityen_US
dc.description.abstract本篇論文使用Stock and Watson (2002) 所發展的動態因子模型(dynamic factor model, DFM) 針對台幣兌美元匯率進行預測, 目的在於重新探討總體經濟的基本面是否有助於匯率的預測。自從Meese and Rogoff (1983a) 這篇經典的研究發表後, 貨幣模型與總體變數應用在匯率預測方面的能力就不斷地遭受質疑。本文採用自臺灣以及美國總體變數所萃取出來的因子, 來進行匯率的預測。本文應用Clark and West (2007)所發展的針對涵蓋模型(nested model) 的大樣本檢定, 以及經濟價值(economic value) 來作為預測績效的評估準則。研究結果顯示, 在一至十二個月的預測期間下, 動態因子模型在統計與經濟兩項準則皆能擊敗作為標竿的 AR 模型。因此, 若能夠運用因子做為總體基本面的代理變數, 則總體基本面仍然有助於匯率的預測。zh_TW
dc.description.abstractThis thesis uses the dynamic factor model (DFM) developed by Stock and Watson (2002) to forecast the NTD/USD exchange rate. The aim is to reinvestigate the usefulness of macroeconomic fundamentals in forecasting exchange rates. The usefulness of structural monetary models and fundamentals has been in doubt since the seminal work of Meese and Rogoff (1983a). Both the macroeconomic variables of Taiwan and U.S. are used to extract factors for making predictions. The asymptotic test on nested models proposed by Clark and West (2007) and an economic value criterion are implemented. The DFM is shown to beat the benchmark AR model both in statistical criterion and economic value at horizons from 1 month to 12 months. We conclude that macroeconomic fundamentals, with dynamic factors as their proxies, do help to predict exchange rates.en_US
DC.subject擴散指標zh_TW
DC.subject涵蓋模型zh_TW
DC.subject匯率預測zh_TW
DC.subject經濟價值zh_TW
DC.subject因子模型zh_TW
DC.subjectfactor modelen_US
DC.subjectexchange rate forecastingen_US
DC.subjectdiffusion indexen_US
DC.subjecteconomic valueen_US
DC.subjectnested modelen_US
DC.title總體經濟基本面是否有助於匯率的預測?zh_TW
dc.language.isozh-TWzh-TW
DC.titleDo Macroeconomic Fundamentals Help to Predict Exchange Rates?en_US
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

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