Responsive image
博碩士論文 etd-0618112-211206 詳細資訊
Title page for etd-0618112-211206
論文名稱
Title
台美利率傳遞效果之實證研究
Empirical analysis of interest rate channel between Taiwan and U.S
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
48
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2012-06-05
繳交日期
Date of Submission
2012-06-18
關鍵字
Keywords
一般化衝擊反應函數、利率傳遞效果、因子擴充誤差修正模型、貨幣傳遞機制、共整合關係
Cointegration, Monetary transmission mechanism, Generalized impulse respone, Interest rate channel, Factor-augmented error correction model
統計
Statistics
本論文已被瀏覽 5926 次,被下載 1181
The thesis/dissertation has been browsed 5926 times, has been downloaded 1181 times.
中文摘要
本文嘗試採用Banerjee. A, Marcellino. M(2009)所提出之因子擴充向量誤差模型(factor-augmented error correction model,FECM model)驗證台美間之利率傳遞管道,

FECM模型優點如下,第一,其將動態因子模型(Daymanic factor model)納入誤差修正向量模型(Error correction model,ECM model),第二,因子萃取採Bolive(2004)所提出之變數分類法,改進了因子擴充自我迴歸向量模型(Factor-augmented vector autoregression model,FAVAR model)中無法判定共同因子意義之情況,第三,誤差向量可以清楚分析出變數長短期之間的變化,第四,採用一般化衝擊反應函數(Generalized impulse respone)來改進以往衝擊反應函數因為變數順序不同而導致分析結果不同。

最後,我們透過了FECM模型驗證出台美間確實存在利率傳遞效果。
Abstract
This paper applies a Factor-augmented error correction model proposed by Banerjee. A, Marcellino. M(2009)to measure the impact of the United States’ monetary policy on Taiwan.

The FECM model has the following advantages. First, it has refined the dynamic factor model, since it allows us to include the error correction terms into equation. Second, we can improve FAVAR model’s shortcomings, the common factor lack of economic interpretation, by using the method of Belviso. F, Milani. F(2006). Third, the cointegration can analyze long-run and short-run dynamics of non-stationary variables. Forth, we propose the generalized impulse respone to analyze the FECM model, it doesn’t require orthogonalization of shocks and is invariant to the ordering of the variables.

Finally, we indeed prove the interest rate channel does exist in Taiwan and United States through the method of FECM model.
目次 Table of Contents
謝辭………………………………………………………………………………… i
中文摘要………………………………………………………………………… ii
英文摘要……………………………………………………………… iii
第一章 緒論......................................................................................... 1
1.1 研究動機與目的……………………………………………. 1
1.2 研究流程…………………………………………………… 3
第二章 文獻回顧............................................................................... 4
第三章 研究方法…………………………………………………… 8
3.1單根檢定……………………………………………………. 9
3.2 落後期的決定……………………………………………… 10
3.3共整合檢定…………………………………………………. 11
3.4 FECM模型設定……………………………………………... 13
3.5 主成分分析………………………………………………… 18
3.6 一般化衝擊反應函數………………………………………. 21
第四章 實證分析…………………………………………………… 23
4.1 資料處理以及資料來源……………………………………. 23
4.2 因子數量選取………………………………………………. 23
4.3 決定落後期…………………………………………………. 24
4.4 共整合檢定………………………………………………….. 25
4.5 FECM模型估計……………………………………………… 26
4.6一般化衝擊反應……………………………………………. 28
第五章 結論………………………………………………………… 32
參考文獻…………………………………………………………….. 34

圖表目錄

表4.4.1:兩因子選取結果…………………………………………. 24
表 4.4.2:三因子選取結果………………………………………… 24
表4.5.1:兩因子共整合模型………………………………………. 25
表4.5.2:三因子共整合模型………………………………………. 25
表4.6.1:變數定義…………………………………………………. 26
圖4.6.1:台灣物價消費指數………………………………………. 28
圖4.6.2:台灣貨幣總計數-M2……………………………………... 29
圖4.6.3:台灣貨幣存款合計……………………………………….. 30
圖4.6.4:台灣支票存款…………………………………………….. 30
圖4.6.5:台灣對美國出口貿易總額.................................................. 31
圖4.6.6:台灣對美國進口貿易總額……………………………….. 31
變數表處理…………………………………………………………... 38
參考文獻 References
汪建南、李光輝(2004)「我國貨幣政策操作及傳遞機制之實證分析-兼論銀行信用管道與股票價格管道」,中央銀行季刊,26:3,頁17-55.

吳懿娟(2004)「我國貨幣政策傳遞機制之實證分析」,中央銀行季刊,26:4,頁33-68.

楊奕農(2009)「時間序列分析:經濟與財務上之應用」 二版 雙葉書廊有限公司

陳旭昇(2008)「時間序列分析:總體經濟與財務金融之應用」 二版 東華書局

Banerjee. A, Marcellino. M(2009)Factor-augmented Error Correction Models , Working paper.

Ben .S.Bernanke and A.Blinder(1992)The Federal Funds Rate and the Channels of Monetary Transmission , The American Economic Review,82:4,901-921.

Ben .S.Bernanke, Boivin. J, Eliasz. P(2005)Measuring the Effect of Monetary Policy: A Factor Augmented Vector Autoregressive (FAVAR)Approach,Working paper.

Ou. B, Zhao. L, Zhang. X, Wang. S(2012)Measuring the Effects of China Monetary Policy on Macro-economy:A FAVAR Approach .Advances in information Sciences and Service Science(AISS),Volume.4,No.4.

Bai. J and Ng. S (2004)A Panic Attack on Unit Roots and Cointegration, Econometrica, Volume.72,p.1127-1177.

Boivin. J,Marc P.Giannoni(2010)Global Forces and Monteary Policy Effectiveness, Working Paper.

Boivin. J, Ng. S(2002)Are More Data Always Better For Factor Analysis? Journal of econometric,132,p169-194.

Belviso. F, Milani. F(2006)Structural Factor-Augmented VAR(FAVAR)and the Effects of Monetary Policy,Working paper.

Boivin. J, Marc P.Giannoni(2007)Global Forces and Monetary Policy Effectiveness,
Working paper.

Boivin. J,Marc P.Giannoni(2010)Monteary Transmission in a Small Open Economy
,Working paper.

Canova. F(2005)The Transmission of US Shocks to Latin American . Journal of Applied Econometrics p.229-251.

Dickey, David A. and Wayne A. Fuller(1979)Distribution of the Estimators for Autoregressive Time Series with a Unit Root,Journal of the American Statistical
Vol.74,p427-431.

Engle, Robert F., and Granger, C. W .J.(1987),Co-integration and error correction: Representation, estimation, and testing, Econometrica, 55(2), 391-407.

Granger, C.W.J. and Newbold, P.(1974)Spurious Regressions in Econometrics , Journal of Econometrics,2,111-120.

Johansen,S.and K. Juselius(1990)Maximum Likelihood Estimation and Inference on Cointegration-with Application to the Demand forMoney,Oxford Bulletin of Economics and Statistics, Volume52,p.169-210.

Kim. S(2001)Effects of Monetary Policy Shocks on the Balance in Small Open
European Countries.Economics Letters ,Volume.71,p.197-203.

Monadjemi,Medhdi S.(1997)International Interest Rates Linkages:Evidence from OECD Countries. International Review of Financial Analysis,Vol.6,
No.3 ,p.229-240.

Mackowiak. B(2007)External shocks US Monetary Policy and Macroeconomic Fluctuations in Emerging Markets , Working paper.

Pesaran, M.H. and Y. Shin(1998)Generalized impulse response analysis in linear multivariate models,Economics letters,71,117-143.

James H. Stock and Mark W. Watson(1998)Diffuision Index,NBER Working Paper ,No.6702

James H. Stock and Mark W. Watson(2002)Forecasting Using Principal Components From a Large Number of Predictors. Journal of the American Statistical Association
,Volume.97,No.460.

MC Zuniga(2011)International Monetary Transmission,a Factor-Augmented Vector Autorgressive(FAVAR)Approach:The Cases of Mexico and Brazil. Business and Economics Journal, Volume.26.
電子全文 Fulltext
本電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。
論文使用權限 Thesis access permission:自定論文開放時間 user define
開放時間 Available:
校內 Campus: 已公開 available
校外 Off-campus: 已公開 available


紙本論文 Printed copies
紙本論文的公開資訊在102學年度以後相對較為完整。如果需要查詢101學年度以前的紙本論文公開資訊,請聯繫圖資處紙本論文服務櫃台。如有不便之處敬請見諒。
開放時間 available 已公開 available

QR Code