§ 瀏覽學位論文書目資料
系統識別號 U0002-0506200910525200
DOI 10.6846/TKU.2009.01206
論文名稱(中文) 英、日匯率之長短期互動關係實證研究
論文名稱(英文) The Short Dynamic Relationship and Long Run Relationship of the Foreign Exchange Rate in United Kingdom and Japan.
第三語言論文名稱
校院名稱 淡江大學
系所名稱(中文) 財務金融學系碩士班
系所名稱(英文) Department of Banking and Finance
外國學位學校名稱
外國學位學院名稱
外國學位研究所名稱
學年度 97
學期 2
出版年 98
研究生(中文) 吳彥儒
研究生(英文) Yen-Ju Wu
學號 696530392
學位類別 碩士
語言別 繁體中文
第二語言別
口試日期 2009-05-29
論文頁數 57頁
口試委員 指導教授 - 聶建中(niehcc@mail.tku.edu.tw)
共同指導教授 - 李沃牆(wclee@email.tku.edu.tw)
委員 - 聶建中(niehcc@mail.tku.edu.tw)
委員 - 李沃牆(wclee@email.tku.edu.tw)
委員 - 張倉耀(tychang@fcu.edu.tw)
委員 - 何宗武(tsungwu@cc.shu.edu.tw)
委員 - 唐代彪(dptang@ntu.edu.tw)
關鍵字(中) 即期匯率
遠期匯率
門檻自我迴歸模型
門檻誤差修正模型
關鍵字(英) Spot Exchange Rate
Forward Exchange Rate
Threshold Autoregressive Model
Threshold Error-Correction Model
第三語言關鍵字
學科別分類
中文摘要
外匯市場隨著國際貿易的發展而逐漸成為各國互通往來之重要媒介,在全球化之影響下蓬勃發展,也成為投資者積極參與之熱門場所,因此如何運用外匯進行投資及避險早已成為實務上及學術上爭相探討之重要話題,故本文以美元兌英鎊及日圓之外匯即期匯率與三十天期遠期匯率進行長短期互動關係之研究。
    本研究先以單根檢定法檢測日圓及英鎊之外匯即、遠期匯率是否存在單根現象。許多學術研究已證實大部分的金融性資產在經過一段時間之互動將具有非對稱之調整,因此本研究將會使用動差門檻自我迴歸模型(M-TAR)及動差非線性誤差修正模型(M-TCEM)檢測日圓、英鎊之外匯即、遠期匯率間之長短期互動關係。
    經本文之實證研究,日圓、英鎊之外匯即、遠期匯率原始序列存在單根現象,並在經過一次差分之後呈現定態,此表示日圓、英鎊之外匯即期匯率與遠期匯率皆屬於I(1)之時間數列資料。在門檻共整合檢定部分,實證結果顯示日圓外匯即、遠期匯率及英鎊之外匯即、遠期匯率間存在非對稱之門檻共整合關係。而在經非對稱之門檻誤差修正模型之檢定後發現﹕在短期互動下,日圓之即、遠期匯率只存在單向影響關係,並不存在雙向互動關係,另一方面,英鎊即、遠期匯率之間不存在短期之動態關係;在長期因果關係,日圓之遠期匯率對日圓即期匯率具有領先關係,而英鎊之即期匯率則是呈現領先英鎊遠期匯率的顯著關係。
英文摘要
Recent research has increasingly suggested that exchange rates may be characterized by non-linear behaviors. This study investigates the asymmetric causal relationships between the spot exchange rate and the forward exchange rate in United Kingdom Sterling and Japan Yen using the daily data running from 2001 to 2008.
    The results from Granger-Causality tests based on corresponding threshold error-correction model clearly point out the following: In Japan, a unidirectional causality from the forward exchange rate market to the spot exchange rate market in the short run and a bidirectional causality running from the forward exchange rate market to the spot exchange rate market in the long run. In United Kingdom, there is not a short dynamic relationship between the spot exchange rate and the forward exchange rate market but there is a bidirectional causality running from the spot exchange rate market to the forward exchange rate market in the long run. These findings ought to be made readily available to individual investors and financial institutions holding investment portfolios in foreign exchange rate markets.
第三語言摘要
論文目次
目錄
第一章	緒論.......................................1
第一節 研究背景及動機...............................1
第二節 研究目的.....................................4
第三節 研究流程與步驟...............................5
第二章	文獻回顧...................................6
第三章	研究方法..................................11
第一節 單根檢定....................................12
第二節 門檻共整合檢定..............................18
第三節 門檻誤差修正模型............................23
第四章	實證結果與分析............................26
第一節 變數選取與資料來源..........................26
第二節 單根檢定....................................28
第三節 門檻共整合檢定..............................30
第四節 門檻誤差修正模型基礎之Granger因果關係檢定...35
第五章	結論與建議................................47
第一節 研究結論....................................47
第二節 研究建議....................................51
參考文獻...........................................52
圖表目次
【圖1.3.1】研究步驟流程圖...........................5
【表4.1.1】外匯即期匯率、遠期匯率之敘述統計資料....27
【表4.2.1】ADF、PP及NP之單根檢定結果...............29
【表4.3.1】日圓外匯即、遠期匯率之門檻共整合檢定(Enders and Granger, 1998).....................................33
【表4.3.2】英鎊外匯即、遠期匯率之門檻共整合檢定(Enders and Granger, 1998).....................................34
【表4.4.1】日圓之外匯即、遠期匯率動差誤差修正模型(M-TECM)之估計...............................................39
【表4.4.2】日圓即、遠期匯率之M-TECM模型短期互動關係檢定.................................................39
【表4.4.3】日圓即、遠期匯率之M-TECM模型長期因果關係檢定.................................................40
【表4.4.4】英鎊之外匯即、遠期匯率動差誤差修正模型(M-TECM)之估計...............................................45
【表4.4.5】英鎊即、遠期匯率之M-TECM模型短期互動關係檢定.................................................45
【表4.4.6】英鎊即、遠期匯率之M-TECM模型長期因果關係檢定.................................................46
參考文獻
1.	邱建良、吳佩珊、邱哲修,(2004),「亞洲外匯市場行為之探討–不對稱門檻GARCH模型之應用」,台灣管理學刊,第4卷第2期,頁187~202。
2.	邱顯比、葉銀華,(2003),「台灣外匯市場效率性檢定與風險溢價之研究–Cointegration和ARCH模型」,社會科學論叢,第41輯,頁185-205。
3.	黃柏農,(1994),「股價新聞效果的研究–VAR-VECM模型之應用」,中國財務學刊,第2卷第1期,頁57~73。
4.	蔡育蓉(2007),匯率之非線性平滑轉換誤差修正模型實證研究,淡江大學財務金融系碩士論文。
5.	Aggarwal, Raj and Zong, Sijing, (2008), “Behavioral Biases in Forward Rates as Forecasts of Future Exchange Rates: Evidence of Systematic Pessimism and Under-Reaction,” Multinational Finance Journal, Vol. 12, pp. 241-278. 
6.	Balke, N. S. and Fomby, T., (1997), “Threshold Cointegration,” International Economic Review, Vol. 38, pp. 624-643.
7.	Barnhart, S. W. and Szakmary, A. C., (1991), “Testing the Unbiased Forward Rate Hypothesis: Evidence on Unit Roots, Co-Integration, and Stochastic Coefficients,” Journal of Financial and Quantitative Analysis, Vol.26, pp. 245-267.
8.	Bilson, J. F. O., (1981), “The Speculative Efficiency Hypothesis,” Journal of Business, Vol.54, pp. 435-451.
9.	Bekiros, S. D., and Diks, C. G. H., (2008), “The Nonlinear Dynamic Relationship of Exchange Rates: Parametric and Nonparametric Causality Testing,” Journal of Macroeconomics, Vol. 30, pp. 1641-1650.
10.	Bohl, Martin T. and Siklos, Pierre L., (2004), “The Present Value Model of U.S. Stock Prices Redux: A New Testing Strategy and Some Evidence,” The Quarterly Review of Economics and Finance, Vol. 44, pp. 208-223.
11.	Boutahara, Mohamed, Mootamri, Imène and Péguin-Feissolle, Anne, (2009), “A Fractionally Integrated Exponential STAR Model Applied to the US Real Effective Exchange Rate,” Economic Modelling, Vol. 26, pp. 335-351.
12.	Callen, Jeffrey L., Chen, M. W. Luke and Kwan, Clarence C. Y., (1989), “Spot and Forward Exchange Rates: A Causality Analysis,” Journal of Business Finance and Accounting, Vol. 16, pp.105-118.
13.	Chan, K. S., (1993), “Consistency and Limiting Distribution of the Least Squares Estimator of a Threshold Autoregressive Model,” The Annuals of Statistics, Vol. 21, pp. 520-533.
14.	Coakley, Jerry and Fuertes, Ana Maria, (2002), “Asymmetric Dynamics in UK Real Interest Rates,” Applied Financial Economics, Vol. 12, pp. 379-387.
15.	Cornell, Bradford, (1977), “Spot Rates, Forward Rates and Exchange Market Efficiency,” Journal of Financial Economics, Vol. 5, pp. 55-65.
16.	Dejong, K. N., Nankervis, J. C., Savin, N. E. and Whiteman, C. H., (1992), “Intergration versus Stationarity in the Time Series,” Econometrica, Vol. 60, pp. 423-433.
17.	DibooĞlu, Selahattin and Enders, Walter, (2001), “Do Real Wages Respond Asymmetrically to Unemployment Shocks? Evidence from the U.S. and Canada,” Journal of Macroeconomics, Vol. 23, pp. 495–515.
18.	Dickey, D. A. and Fuller, W. A., (1979), “Distribution of the Estimators for Autoregression Time Series with a Unit Root,” Journal of American Statistical Association, Vol. 74, pp. 427-432.
19.	Dickey, D. A. and Fuller, W. A., (1981), “Likelihood Ratio Statistic for Autoregressive Time Series with a Unit Root,” Econometrics, Vol. 49, pp. 1057-1072.
20.	Enders, Walter, (2001), “Improved Critical Values for the Enders-Granger Unit-root Test,” Applied Economics Letters, Vol. 8, pp. 257-261.
21.	Enders, W. and Granger, C. W. J., (1998), “Unit Root Tests and Asymmetric Adjustment with an Example Using the Term Structure of Interest Rates,” Journal of Business and Economic Statistics, Vol. 16, pp. 304-311.
22.	Enders, W. and Siklos, P. L., (2001), “Cointegration and Threshold Adjustment,” Journal of Business and Economic Statistics, Vol. 19, pp. 166-176.
23.	Engle, R. F. and Granger, C. W. J., (1987), “Cointegration and Error Correction: Representation, Estimation and Testing,” Econometrica, Vol. 55, pp. 251-276.
24.	Engle, R. F. and Yoo, B. S., (1987), “Forecasting and Testing in Cointegrated Systems,” Journal of Econometrics, Vol. 35, pp. 143-159.
25.	Fama, E., (1970), “Efficient Capital Market : A Review of Theory and Empirical Work,” Journal of Finance, Vol. 25, pp. 383-417.
26.	Fama, E., (1984), “Forward and Spot Exchange Rates,” Journal of Monetary Economics, Vol. 14, pp. 319-338.
27.	Granger, C. W. J., (1981), “Some Properties of Time Series Data and Their Use in Econometric Model Specification,” Journal of Econometrics, Vol. 16, pp. 121-130.
28.	Granger, C. W. J. and Newbold, P., (1974), “Spurious Regression in Econometrics,” Journal of Econometrics, Vol. 2, pp. 111-120.
29.	Granger, C. W. J. and Teräsvirta, T., (1993), “Modeling Nonlinear Economic Relationships,” Oxford University Press.
30.	Hakkio, C. S. and Rush, M., (1989), “Market Efficiency and Cointegration: An Application to the Sterling and Deutschemark Exchange Market,” Journal of International Money and Finance, Vol. 88, pp. 829-853.
31.	Hansen, H. and Juselius, K., (1995), “CATS in RATS: Cointegration Analysis of Time Series,” Evanston (IL): Estima.
32.	Hansen, S. and Hodrick, J., (1980), “Forward Exchange Rates as Optimal Predictors of Future Spot Rates: An Econometric Analysis,” Journal of Political Economy, Vol. 88, pp. 829-853.
33.	Johansen, S., (1988), “Statistical Analysis of Cointegration Vectors,” Journal of Economics Dynamics and Control, Vol. 12, pp. 231-254.
34.	Levich, Richard M., (1979), “The Denomination of Foreign Trade Contracts Once Again Decision,” Journal of Financial and Quantitative Analysis, Vol. 15, pp. 945-947.
35.	McMillan, David G., (2005), “Smooth-transition Error-correction in Exchange Rates,” North American Journal of Economics and Finance, Vol. 16, pp. 217-232.
36.	Ng, Serena and Perron, Pierre, (2001), “Lag Length Selection and the Construction of Unit Root Tests with Good Size and Power,” Econometrica, Vol. 69, pp. 1519-1554.
37.	Nelson, C. R. and Plosser, C. I., (1982), “Trends and Random Walks in Macroeconomic Time Series: Some Evidence and Implications,” Journal of Monetary Economics, Vol. 10, pp. 139-162.
38.	Perron, P. and Ng, S., (1996), “Useful Modifications to Some Unit Root Tests with Dependent Errors and Their Local Asymptotic Properties,” Review of Economic Studies, Vol. 63, pp. 435-463.
39.	Phillips, P. C. B. and Perron, P., (1988), “Testing for a Unit Root in Time Series Regression,” Oxford Journals, Vol. 75, pp. 335-346.
40.	Pippenger, M. K. and Goering, G. E., (1993), “A Note on the Empirical Power of Unit Root Tests under Threshold Processes,” Oxford Bulletin of Economics and Statistics, Vol. 55, pp. 473-481.
41.	Samanta, Subarna K. and Zadeh, Ali H. M., (2001), “Foreign Exchange Rates, Asymmetric Adjustment and Threshold Co-integration: Empirical Evidence from Canada,” Journal of Economics, Vol. 27, pp. 19-35.
42.	Schwert, G. William, (1989), “Tests for Unit Roots: A Monte Carlo Investigation,” Journal of Business and Economic Statistics, Vol. 7, pp. 147-59.
43.	Tong, H., (1983), “Threshold Models in Nonlinear Time Series Analysis,” New York: Springer-Verlag.
44.	Tong, H., (1990), “Non-linear Time Series: A Dynamic Approach,” U.K.: Oxford University Press.
45.	Yua, Hwey Yun and Nieh, Chien Chung, (2009), “Japan and the World Economy,” Elsevier, Vol. 21, pp.292-300.
論文全文使用權限
校內
紙本論文於授權書繳交後1年公開
校內書目立即公開
校外
不同意授權

如有問題,歡迎洽詢!
圖書館數位資訊組 (02)2621-5656 轉 2487 或 來信