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題名 台灣與南韓兩國的股價指數與匯率之間的因果關係
The Causality between the stock price index and the exchange rate of Taiwan and Republic of Korea
作者 孫恩卿
Son, Eun-Kyung
貢獻者 林建秀
Lin, Chien-Hsiu
孫恩卿
Son, Eun-Kyung
關鍵詞 單根檢定
向量自我回歸模型 (VAR)
Granger因果關係檢定
韓元兌台幣匯率
股價指數
半導體類指數
Unit root test
VAR
Granger causality test
KRW to TWD exchange rate
Stock price index
Semiconductor sub-index
日期 2022
上傳時間 1-Aug-2022 17:30:59 (UTC+8)
摘要 近期受到COVID19之影響,全球經濟衰退的情況下,2021年台灣經濟成長超出預期,貿易總額、進出口總額及出超都創新高。由於全球疫苗接種率增加,出口限制逐漸放寬,韓國經濟在慢慢地恢復。2021年韓國為台灣的第6大出口市場及第4大進口市場,台灣為韓國的第6大進出口市場。本文探討兩國匯率與兩國股市 (含半導體產業) 的關係。本文用2010 年 12 月 30 日至 2021 年 12 月 30 日的共計 2596 筆日資料,以Eviews進行單根檢定、向量自我回歸模型 (VAR) 、Granger因果關係檢定。實證結果顯示,韓元兌台幣匯率報酬與兩國綜合股價指數報酬為正向關係,韓國綜合股價指數報酬與台灣加權指數報酬為正向關係,韓元兌台幣匯率報酬與兩國半導體類指數報酬為正向關係,韓國半導體類指數報酬與台灣半導體類指數報酬為正向關係。本文得出兩國匯率與兩國股價市場 (含半導體產業) 的關係,可以幫助投資者預測兩國匯率及兩國股市,輔助開發兩國股市之投資組合,降低投資風險。
Recently the global economic recession affected by COVID19, Taiwan`s economic growth rate in 2021 exceeded expectations. Korea’s economy is also slowly recovering as vaccination rates around the world increased and export restrictions are eased. In 2021, Korea is Taiwan`s sixth largest export market and fourth largest import market, and Taiwan is Korea`s sixth largest import and export market. This paper study the relationship between the exchange rates and the stock markets of the two countries. This paper using a total of 2596 daily data from December 30, 2010 to December 30, 2021, perform unit root test, VAR test, and Granger causality test with Eviews. The empirical results of this paper, show that there is a positive relationship between the exchange rate return of KRW to TWD exchange rate and the return of stock price index of two countries, and the return of the exchange rate and the return of the semiconductor index of two countries are also positively related. This paper obtains the relationship between the exchange rates and the stock price markets of the two countries, it will be helpful that investors predict the exchange rates of two countries and the stock markets of two countries and help to develop of investment portfolios in the two country`s stock markets, and it also will be helpful to reduce investment risks.
參考文獻 1. Akaike, H. (1974). A new look at the statistical model identification. IEEE transactions on automatic control, 19(6), 716-723.
2. Bank of Korea (2016). Foreign Exchange System and Market in Korea. Retrieved from https://www.bok.or.kr/viewer/skin/doc.html?fn=FILE_2018033008183428 31.pdf&rs=/webview/result/P0000609/201601.
3. Chi, H. J., & Kim, S. W. (2001). Interrelationship among the Foreign Exchange, Stock and Bond Market: Comparative Analysis of Korea and Japan. The Korean Journal of Financial Management, 18(2), 169-191.
4. Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American statistical association, 74(366a), 427-431.
5. Engle, R. F., & Granger, C. W. (1987). Co-integration and error correction: representation, estimation, and testing. Econometrica: journal of the Econometric Society, 251-276.
6. Hong, Y. J., & Ha, H. Y. (2019). A Study on the Foreign Investment in Financial Assets and Exchange Rate in Korea - A Focus on Bond Yields and Stock Returns -. Journal of Social Science, 26(1), 39-60.
7. Lee, D. H., & Kim, E. R. (2000). An Analysis on Causality Between Exchange Rate and Stock Price : the Case of Asia Countries Experienced Foreign Exchange Crisis. Korea Trade Review, 25(1), 151-168.

8. Lee, H. H., & Seo, D.W. (1997). An Analysis of the Effect of the Won-Dollar Exchange Rate Volatility Risk on the Korean Export. Korea Trade Review, 22(4), 79-104.
9. Lee, H. J. (2007). A study on the Effects of Exchange Rates and Interest Rates on the Stock prices (Master’s thesis, Hanyang University, Seoul, Republic of Korea). Retrived from http://hanyang.dcollection.net/common/orgView/200000406754.
10. Lee, H. J., & Ahn, J. O. (2010). A Study on the Relation between Foreign Exchange Rates and Stock Prices under Global Economic Crisis in Korea. Journal of Industrial Economics and Business, 23(6), 3201-3222.
11. Sims, C. A. (1980). Macroeconomics and reality. Econometrica: journal of the Econometric Society, 1-48.
12. 中央銀行(2019)。本行匯率政策相關議題之說明。取自 https://knowledge.cbc.gov.tw/uploads/20211019/3226ebf6-a429-4652-8f60- 767686c32c34.pdf。
13. 中央銀行(2019)。有關新台幣匯率政策之說明。取自 https://www.cbc.gov.tw/Public/Attachment/9521833971.pdf。
14. 方文碩、田志遠(2001)。匯率貶值對股票市場的衝擊-雙變量 GARCH-M 模型。台灣金融財務季刊, 2(3),99-117。
15. 王齡翎(2015)。臺灣股價指數與匯率之因果關係(碩士論文,中國文化大 學,臺北市,台灣)。取自台灣博碩士論文知識加值系統。
16. 徐清俊、李孟哲(2006)。匯率變動與台灣股市報酬之研究-雙變量 GARCH 模型。興國學報,(5),23-34。
17. 陳旭昇(2013)。時間序列分析:總體經濟與財務金融之應用(二版)。臺 北市:東華。

18. 陳思寬、張銘仁(2006)。 股價、匯率與貨幣政策之互動性:東亞各國的 實證研究。證券市場發展季刊,18(4),61-101。
19. 黃威儒(2019)。臺灣股市、匯率及利率的互動關係(1990-2018)(碩士論 文,淡江大學,臺北市,台灣)。取自 airitilibrary.com。
20. 楊奕農(2017)。時間序列分析:經濟與財務上之應用(三版)。臺北市: 雙葉書廊。
描述 碩士
國立政治大學
金融學系
109352037
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0109352037
資料類型 thesis
dc.contributor.advisor 林建秀zh_TW
dc.contributor.advisor Lin, Chien-Hsiuen_US
dc.contributor.author (Authors) 孫恩卿zh_TW
dc.contributor.author (Authors) Son, Eun-Kyungen_US
dc.creator (作者) 孫恩卿zh_TW
dc.creator (作者) Son, Eun-Kyungen_US
dc.date (日期) 2022en_US
dc.date.accessioned 1-Aug-2022 17:30:59 (UTC+8)-
dc.date.available 1-Aug-2022 17:30:59 (UTC+8)-
dc.date.issued (上傳時間) 1-Aug-2022 17:30:59 (UTC+8)-
dc.identifier (Other Identifiers) G0109352037en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/141071-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 金融學系zh_TW
dc.description (描述) 109352037zh_TW
dc.description.abstract (摘要) 近期受到COVID19之影響,全球經濟衰退的情況下,2021年台灣經濟成長超出預期,貿易總額、進出口總額及出超都創新高。由於全球疫苗接種率增加,出口限制逐漸放寬,韓國經濟在慢慢地恢復。2021年韓國為台灣的第6大出口市場及第4大進口市場,台灣為韓國的第6大進出口市場。本文探討兩國匯率與兩國股市 (含半導體產業) 的關係。本文用2010 年 12 月 30 日至 2021 年 12 月 30 日的共計 2596 筆日資料,以Eviews進行單根檢定、向量自我回歸模型 (VAR) 、Granger因果關係檢定。實證結果顯示,韓元兌台幣匯率報酬與兩國綜合股價指數報酬為正向關係,韓國綜合股價指數報酬與台灣加權指數報酬為正向關係,韓元兌台幣匯率報酬與兩國半導體類指數報酬為正向關係,韓國半導體類指數報酬與台灣半導體類指數報酬為正向關係。本文得出兩國匯率與兩國股價市場 (含半導體產業) 的關係,可以幫助投資者預測兩國匯率及兩國股市,輔助開發兩國股市之投資組合,降低投資風險。zh_TW
dc.description.abstract (摘要) Recently the global economic recession affected by COVID19, Taiwan`s economic growth rate in 2021 exceeded expectations. Korea’s economy is also slowly recovering as vaccination rates around the world increased and export restrictions are eased. In 2021, Korea is Taiwan`s sixth largest export market and fourth largest import market, and Taiwan is Korea`s sixth largest import and export market. This paper study the relationship between the exchange rates and the stock markets of the two countries. This paper using a total of 2596 daily data from December 30, 2010 to December 30, 2021, perform unit root test, VAR test, and Granger causality test with Eviews. The empirical results of this paper, show that there is a positive relationship between the exchange rate return of KRW to TWD exchange rate and the return of stock price index of two countries, and the return of the exchange rate and the return of the semiconductor index of two countries are also positively related. This paper obtains the relationship between the exchange rates and the stock price markets of the two countries, it will be helpful that investors predict the exchange rates of two countries and the stock markets of two countries and help to develop of investment portfolios in the two country`s stock markets, and it also will be helpful to reduce investment risks.en_US
dc.description.tableofcontents 第一章 緒論 1
第一節 研究動機 1
第二節 研究目的 2
第三節 研究架構 3
第二章 文獻回歸 4
第一節 兩國匯率政策分析 4
第二節 匯率與股價相關文獻 5
第三章 研究方法 8
第一節 單根檢定 8
第二節 最適落後期選取標準 9
第三節 向量自我回歸模型 (VAR) 9
第四節 衝擊反應函數 11
第五節 預測誤差變異分解 11
第六節 GRANGER因果關係檢定 12
第四章 實證結果分析 13
第一節 資料來源 13
第二節 敘述統計 13
第三節 單根檢定結果分析 14
第四節 向量自我回歸模型 (VAR) 結果分析 15
第五節 GRANGER 因果關係檢定及結果分析 22
第五章 結論 24
參考文獻 27
zh_TW
dc.format.extent 1107428 bytes-
dc.format.mimetype application/pdf-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0109352037en_US
dc.subject (關鍵詞) 單根檢定zh_TW
dc.subject (關鍵詞) 向量自我回歸模型 (VAR)zh_TW
dc.subject (關鍵詞) Granger因果關係檢定zh_TW
dc.subject (關鍵詞) 韓元兌台幣匯率zh_TW
dc.subject (關鍵詞) 股價指數zh_TW
dc.subject (關鍵詞) 半導體類指數zh_TW
dc.subject (關鍵詞) Unit root testen_US
dc.subject (關鍵詞) VARen_US
dc.subject (關鍵詞) Granger causality testen_US
dc.subject (關鍵詞) KRW to TWD exchange rateen_US
dc.subject (關鍵詞) Stock price indexen_US
dc.subject (關鍵詞) Semiconductor sub-indexen_US
dc.title (題名) 台灣與南韓兩國的股價指數與匯率之間的因果關係zh_TW
dc.title (題名) The Causality between the stock price index and the exchange rate of Taiwan and Republic of Koreaen_US
dc.type (資料類型) thesisen_US
dc.relation.reference (參考文獻) 1. Akaike, H. (1974). A new look at the statistical model identification. IEEE transactions on automatic control, 19(6), 716-723.
2. Bank of Korea (2016). Foreign Exchange System and Market in Korea. Retrieved from https://www.bok.or.kr/viewer/skin/doc.html?fn=FILE_2018033008183428 31.pdf&rs=/webview/result/P0000609/201601.
3. Chi, H. J., & Kim, S. W. (2001). Interrelationship among the Foreign Exchange, Stock and Bond Market: Comparative Analysis of Korea and Japan. The Korean Journal of Financial Management, 18(2), 169-191.
4. Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American statistical association, 74(366a), 427-431.
5. Engle, R. F., & Granger, C. W. (1987). Co-integration and error correction: representation, estimation, and testing. Econometrica: journal of the Econometric Society, 251-276.
6. Hong, Y. J., & Ha, H. Y. (2019). A Study on the Foreign Investment in Financial Assets and Exchange Rate in Korea - A Focus on Bond Yields and Stock Returns -. Journal of Social Science, 26(1), 39-60.
7. Lee, D. H., & Kim, E. R. (2000). An Analysis on Causality Between Exchange Rate and Stock Price : the Case of Asia Countries Experienced Foreign Exchange Crisis. Korea Trade Review, 25(1), 151-168.

8. Lee, H. H., & Seo, D.W. (1997). An Analysis of the Effect of the Won-Dollar Exchange Rate Volatility Risk on the Korean Export. Korea Trade Review, 22(4), 79-104.
9. Lee, H. J. (2007). A study on the Effects of Exchange Rates and Interest Rates on the Stock prices (Master’s thesis, Hanyang University, Seoul, Republic of Korea). Retrived from http://hanyang.dcollection.net/common/orgView/200000406754.
10. Lee, H. J., & Ahn, J. O. (2010). A Study on the Relation between Foreign Exchange Rates and Stock Prices under Global Economic Crisis in Korea. Journal of Industrial Economics and Business, 23(6), 3201-3222.
11. Sims, C. A. (1980). Macroeconomics and reality. Econometrica: journal of the Econometric Society, 1-48.
12. 中央銀行(2019)。本行匯率政策相關議題之說明。取自 https://knowledge.cbc.gov.tw/uploads/20211019/3226ebf6-a429-4652-8f60- 767686c32c34.pdf。
13. 中央銀行(2019)。有關新台幣匯率政策之說明。取自 https://www.cbc.gov.tw/Public/Attachment/9521833971.pdf。
14. 方文碩、田志遠(2001)。匯率貶值對股票市場的衝擊-雙變量 GARCH-M 模型。台灣金融財務季刊, 2(3),99-117。
15. 王齡翎(2015)。臺灣股價指數與匯率之因果關係(碩士論文,中國文化大 學,臺北市,台灣)。取自台灣博碩士論文知識加值系統。
16. 徐清俊、李孟哲(2006)。匯率變動與台灣股市報酬之研究-雙變量 GARCH 模型。興國學報,(5),23-34。
17. 陳旭昇(2013)。時間序列分析:總體經濟與財務金融之應用(二版)。臺 北市:東華。

18. 陳思寬、張銘仁(2006)。 股價、匯率與貨幣政策之互動性:東亞各國的 實證研究。證券市場發展季刊,18(4),61-101。
19. 黃威儒(2019)。臺灣股市、匯率及利率的互動關係(1990-2018)(碩士論 文,淡江大學,臺北市,台灣)。取自 airitilibrary.com。
20. 楊奕農(2017)。時間序列分析:經濟與財務上之應用(三版)。臺北市: 雙葉書廊。
zh_TW
dc.identifier.doi (DOI) 10.6814/NCCU202200745en_US