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| ???org.dspace.app.webui.jsptag.ItemTag.dcfield??? | Value | Language |
|---|---|---|
| dc.contributor.advisor | 林建甫 | zh_TW |
| dc.contributor.advisor | Chien-Fu Lin | en |
| dc.contributor.author | 延任 | zh_TW |
| dc.contributor.author | Jen Yen | en |
| dc.date.accessioned | 2023-01-10T17:18:52Z | - |
| dc.date.available | 2023-11-10 | - |
| dc.date.copyright | 2023-01-07 | - |
| dc.date.issued | 2022 | - |
| dc.date.submitted | 2002-01-01 | - |
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(1978). “Estimating the dimension of a model.” The annals of statistics, 461-464. Sharpe, W. F. (1964). “Capital asset prices: A theory of market equilibrium under conditions of risk.” The journal of Finance, 19(3), 425-442. Sharpe, W. F. (1970). Portfolio theory and capital markets. New York:McGraw-Hill College. Sims, C. A. (1980). “Macroeconomics and reality.” Econometrica: journal of the Econometric Society, 1-48. | - |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/83203 | - |
| dc.description.abstract | 本研究欲探究日頻率尺度下各市場指數對長天期美國公債殖利率之影響，選取之市場變數包括「標普500指數」、「WTI原油價格」、「貿易加權美元指數」與「美國三個月期公債殖利率」等四個變數對於「美國十年期公債殖利率」之關係，樣本研究資料期間自2021年11月3日至2022年7月29日，共182筆日資料。
分析方式透過單根檢定、共整合分析、向量自我迴歸模型、Granger因果關係檢定、衝擊反應分析及預測誤差變異數分解等計量方法進行研究，實證結果如下： (1) 變數均為非定態(差分後定態)，變數間不存在共整合關係，即不存在長期均衡。 (2) 向量自我迴歸模型(VAR)顯示美國十年期公債殖利率變動率與WTI原油價格變動率、貿易加權美元指數變動率呈現正相關。 (3) 考慮各變數間之關係下，WTI原油價格變動率將「Granger領先」美國十年期公債殖利率的變動率；「美國十年期公債殖利率變動率」、「貿易加權美元指數變動率」的變動會「Granger影響」WTI原油價格變動率，綜合兩者可發現WTI原油價格的變動率與美國十年期公債殖利率的變動率具相互回饋關係。衝擊反數及預測誤差變異數分解亦顯示美國十年期公債殖利率的變動率有部分可為WTI原油價格的變動率所解釋。 | zh_TW |
| dc.description.abstract | This empirical research intended to study the relationship between the 10-year U.S. Treasury yield and four market indices including S&P 500 Index, West Texas Intermediate crude oil price, Nominal Broad U.S. Dollar Index, and the 3-month U.S. Treasury yield. By using unit root test, cointegration test, vector autoregression model, Granger causality test, impulse response function and variance decomposition of forecast errors. The data period is from November 3, 2021 to July 29, 2022, with a total of 182 daily observations per variable. The results of the analysis are shown as follows:
(1) By using unit root test, we find that all variables are non-stationary at level but stationary in first difference. Also by using cointegration test, we did not find any cointegration between each variable. (2) By using vector autoregression model(VAR), the change in 10-year U.S. treasury yield is positively related to the growth rate of WTI crude oil price and also positively related to the growth rate of U.S. Dollar Index. (3) Considering the interaction between each variable in the model, the change of WTI crude oil price will "Granger-causes" the change of 10-year U.S. treasury yield. And the changer of 10-year U.S. treasury yield and the change of nominal broad U.S. dollar index will "Granger-causes" the change of WTI crude oil price. We can see the change of WTI crude oil price and the change of 10-year U.S. treasury yield shows feedback between the two variables. We can also find that some of the variance from the change in 10-year U.S. treasury yield can be explained by the change of WTI crude oil price. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2023-01-10T17:18:52Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2023-01-10T17:18:52Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | 口試委員會審定書 i
誌謝 ii 中文摘要 iii Abstract iv 目錄 v 圖目錄 vi 表目錄 vii 第一章 緒論 1 1.1 研究背景與動機 1 1.2 研究目的 2 1.3 研究流程與架構 3 第二章 文獻回顧 5 2.1 利率期限結構理論 5 2.2 風險溢酬文獻回顧 6 第三章 研究方法 10 3.1 單根與共整合檢定 10 3.2 向量自我迴歸模型與向量誤差修正模型 14 3.3 Granger因果關係檢定 15 3.4 衝擊反應分析與預測誤差變異數分解 16 第四章 實證結果分析 17 4.1 變數、資料來源與實證模型 17 4.2 敘述統計 20 4.3 單根與共整合檢定 22 4.4 向量自我迴歸模型 24 4.5 Granger因果關係檢定 26 4.6 衝擊反應分析與預測誤差變異數分解 29 第五章 結論 33 參考文獻 34 | - |
| dc.language.iso | zh_TW | - |
| dc.subject | Granger因果關係檢定 | zh_TW |
| dc.subject | 美國十年期公債殖利率 | zh_TW |
| dc.subject | 衝擊反應 | zh_TW |
| dc.subject | 向量自我迴歸模型 | zh_TW |
| dc.subject | WTI原油價格 | zh_TW |
| dc.subject | 預測誤差變異數分解 | zh_TW |
| dc.subject | variance decomposition of forecast errors | en |
| dc.subject | 10-year U.S. treasury yield | en |
| dc.subject | WTI crude oil price | en |
| dc.subject | vector autoregression model | en |
| dc.subject | Granger causality test | en |
| dc.subject | impulse response function | en |
| dc.title | 美國公債殖利率與市場指數關聯性實證研究 | zh_TW |
| dc.title | An Empirical Study of Relationship between US Treasury Yield and Market Indices | en |
| dc.title.alternative | An Empirical Study of Relationship between US Treasury Yield and Market Indices | - |
| dc.type | Thesis | - |
| dc.date.schoolyear | 111-1 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.oralexamcommittee | 謝德宗;李顯峰;王柏元 | zh_TW |
| dc.contributor.oralexamcommittee | Der-Tzon Hsieh;Hsien-Feng Lee;Po-Yuan Wang | en |
| dc.subject.keyword | 美國十年期公債殖利率,WTI原油價格,向量自我迴歸模型,Granger因果關係檢定,衝擊反應,預測誤差變異數分解, | zh_TW |
| dc.subject.keyword | 10-year U.S. treasury yield,WTI crude oil price,vector autoregression model,Granger causality test,impulse response function,variance decomposition of forecast errors, | en |
| dc.relation.page | 36 | - |
| dc.identifier.doi | 10.6342/NTU202204100 | - |
| dc.rights.note | 同意授權(全球公開) | - |
| dc.date.accepted | 2022-09-29 | - |
| dc.contributor.author-college | 社會科學院 | - |
| dc.contributor.author-dept | 經濟學系 | - |
| Appears in Collections: | 經濟學系 | |
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| ntu-111-1.pdf | 2.33 MB | Adobe PDF | View/Open |
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