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題名 外匯市場壓力指標對股票市場與匯率市場的影響 : 以已開發國家與新興市場國家為例
The Impact of EMPI on Stock and Foreign Exchange Markets: A Comparative Study of Developed and Emerging Economies
作者 朱庭萱
Chu, Ting-Hsuan
貢獻者 林建秀
Lin, Chien-Hsiu
朱庭萱
Chu, Ting-Hsuan
關鍵詞 外匯市場壓力指數
股票大盤報酬
即期匯率報酬
向量自回歸模型
已開發國家
新興市場國家
Exchange Market Pressure Index
stock market returns
VAR
exchange rate return
developed countries
emerging market countries
日期 2024
上傳時間 3-Mar-2025 13:50:02 (UTC+8)
摘要 本研究利用向量自我迴歸模型(VAR)加入外生變數的延伸模型(Vector Autoregression with Exogenous Variables,VARX)分析外匯市場壓力指數(Exchange Market Pressure Index,EMPI)對股票大盤報酬和即期匯率報酬的影響,涵蓋20個已開發國家和新興市場國家的數據。結果顯示,外匯市場壓力指數對股票大盤報酬的衝擊反應持續期數普遍較外匯市場壓力指數對即期匯率報酬的衝擊反應持續期數長。其中,已開發國家在應對外匯市場壓力指數衝擊時表現出較高的一致性和穩定性,相反,新興市場國家的恢復平穩期數較為分散,反映出應對外部衝擊的回應速度和穩定性存在顯著差異。 VARX模型的結果顯示,在大部分國家中,外匯市場壓力指數指數對即期匯率報酬呈顯著正相關,表示貨幣壓力指數的上升會導致即期匯率報酬增加,亦即貶值;外匯市場壓力指數指數對股票大盤報酬則呈現負相關,當該國貨幣壓力上升時,股票大盤報酬下降,多數國家的衝擊反應函數結果與VARX模型一致,僅有少數國家表現相反。這些結果為理解不同經濟體系在面對外部金融壓力時的表現提供了有價值的洞見,並有助於政策制定者在應對金融風險時做出更準確的決策。未來研究應進一步探討經濟結構、政策反應及市場成熟度對外匯市場壓力指數影響的機制,並考慮其他可能影響金融市場穩定的變數,如政治風險和國際資本流動等。
This study utilizes a Vector Autoregression model with Exogenous Variables (VARX) to analyze the impact of the Exchange Market Pressure Index (EMPI) on stock market returns and spot exchange rate returns, covering data from 20 developed and emerging market countries. The results indicate that the duration of EMPI's impact on stock market returns is generally longer than on spot exchange rate returns. Developed countries show higher consistency and stability in response to EMPI shocks, while emerging markets exhibit more varied recovery periods, reflecting significant differences in their response speed and stability to external shocks. The VARX model results show a significant positive correlation between EMPI and spot exchange rate returns in most countries, indicating that an increase in currency pressure leads to higher spot exchange rate returns, i.e., depreciation. Conversely, EMPI has a negative correlation with stock market returns, where increased currency pressure results in lower stock market returns. Most countries' impulse response functions align with the VARX model, with a few exceptions showing opposite trends. These findings provide valuable insights into how different economic systems respond to external financial pressures, aiding policymakers in making more informed decisions when addressing financial risks. Future research should explore the mechanisms of economic structure, policy response, and market maturity on EMPI's impact, and consider other variables that may affect financial market stability, such as political risk and international capital flows.
參考文獻 吳宗隆(2004)。歐元匯率與美元匯率波動對台灣股市報酬影響之研究。私立南華大學財務管理研究所。 吳孟道、周國偉、曾翊恆(2009)。金融市場壓力指標之建置與應用—東亞八國 於此波金融海嘯之表現。台灣經濟論衡,7卷9期,52-73。 林毓翔(2017)。外匯市場之國家風險分析。國立政治大學金融學系研究所。 戴群融(2015)。應用向量自回歸模型於多媒體平台相互影響之研究。國立台灣大學管理學院資訊管理學系。 鍾耀寬(2018)。臺灣電子類股價指數與總體經濟變數關聯性實證研究。國立台灣大學社會科學院經濟學系。 Corte, P. D., Ramadorai, T. & Sarno, L. (2016). Volatility Risk Premia and Exchange Rate Predictability. Journal of Financial Economics 120, 21-40 Dornbusch, R. (1976). Expectations and Exchange Rate Dynamics. J. Polit. Econ. 84 (6), 1161–1176. Girton, L. & D. Roper (1977). A Monetary Model of Exchange Market Pressure Applied to the Postwar Canadian Experience. The American Economic Review, Vol. 67, No. 4, 537-548. Hanno Lustig, Nikolai Roussanov, and Adrien Verdelhan (2011). Common Risk Factors in Currency Markets. The Review of Financial Studies, Volume 24, Issue 11, 3731-3777. Joscha Beckmann and Tjeerd M. Boonman (2021). Expectations, Disagreement and Exchange Rate Pressure. Economics Letter, 212, 110205 Kaminsky, G.L., Lizondo, C.M., & Reinhart, S. (1998). Leading Indicators of Currency Crises. IMF Staff Pap. 45, 1-48. Pan, M. S., Fok, R. CW, & Liu, Y. A. (2007). Dynamic Linkages between Exchanges Rate and Stock Price: Evidence from East Asian Markets. International Review of Economics and Finance, 503-520. Ruth, S.K. (2020). Shifts in Monetary Policy and Exchange Rate Dynamics: Is Dornbusch’s overshooting hypothesis intact, after all? J. Int. Econ. 126, 1–18. Tanner, Evan (2000). Exchange Market Pressure and Monetary Policy: Asia and Latin America in 1990s .IMF Staff Papers, 47:3, 311-333 Weymark, D. N. (1995). Estimating Exchange Market Pressure and the Degree of Exchange Market Intervention for Canada. Journal of International Economics, 39, 273-295 Warsono, E. Russel, Wamiliana, Widiarti & M. Usman (2019). Vector Autoregressive with Exogenous Variable Model and its Application in Modeling and Forecasting Energy Data: Case Study of PTBA and HRUM Energy. International Journal of Energy Economics and Policy, 9(2), 390-398.
描述 碩士
國立政治大學
金融學系
111352009
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0111352009
資料類型 thesis
dc.contributor.advisor 林建秀zh_TW
dc.contributor.advisor Lin, Chien-Hsiuen_US
dc.contributor.author (Authors) 朱庭萱zh_TW
dc.contributor.author (Authors) Chu, Ting-Hsuanen_US
dc.creator (作者) 朱庭萱zh_TW
dc.creator (作者) Chu, Ting-Hsuanen_US
dc.date (日期) 2024en_US
dc.date.accessioned 3-Mar-2025 13:50:02 (UTC+8)-
dc.date.available 3-Mar-2025 13:50:02 (UTC+8)-
dc.date.issued (上傳時間) 3-Mar-2025 13:50:02 (UTC+8)-
dc.identifier (Other Identifiers) G0111352009en_US
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/155930-
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) 111352009zh_TW
dc.description.abstract (摘要) 本研究利用向量自我迴歸模型(VAR)加入外生變數的延伸模型(Vector Autoregression with Exogenous Variables,VARX)分析外匯市場壓力指數(Exchange Market Pressure Index,EMPI)對股票大盤報酬和即期匯率報酬的影響,涵蓋20個已開發國家和新興市場國家的數據。結果顯示,外匯市場壓力指數對股票大盤報酬的衝擊反應持續期數普遍較外匯市場壓力指數對即期匯率報酬的衝擊反應持續期數長。其中,已開發國家在應對外匯市場壓力指數衝擊時表現出較高的一致性和穩定性,相反,新興市場國家的恢復平穩期數較為分散,反映出應對外部衝擊的回應速度和穩定性存在顯著差異。 VARX模型的結果顯示,在大部分國家中,外匯市場壓力指數指數對即期匯率報酬呈顯著正相關,表示貨幣壓力指數的上升會導致即期匯率報酬增加,亦即貶值;外匯市場壓力指數指數對股票大盤報酬則呈現負相關,當該國貨幣壓力上升時,股票大盤報酬下降,多數國家的衝擊反應函數結果與VARX模型一致,僅有少數國家表現相反。這些結果為理解不同經濟體系在面對外部金融壓力時的表現提供了有價值的洞見,並有助於政策制定者在應對金融風險時做出更準確的決策。未來研究應進一步探討經濟結構、政策反應及市場成熟度對外匯市場壓力指數影響的機制,並考慮其他可能影響金融市場穩定的變數,如政治風險和國際資本流動等。zh_TW
dc.description.abstract (摘要) This study utilizes a Vector Autoregression model with Exogenous Variables (VARX) to analyze the impact of the Exchange Market Pressure Index (EMPI) on stock market returns and spot exchange rate returns, covering data from 20 developed and emerging market countries. The results indicate that the duration of EMPI's impact on stock market returns is generally longer than on spot exchange rate returns. Developed countries show higher consistency and stability in response to EMPI shocks, while emerging markets exhibit more varied recovery periods, reflecting significant differences in their response speed and stability to external shocks. The VARX model results show a significant positive correlation between EMPI and spot exchange rate returns in most countries, indicating that an increase in currency pressure leads to higher spot exchange rate returns, i.e., depreciation. Conversely, EMPI has a negative correlation with stock market returns, where increased currency pressure results in lower stock market returns. Most countries' impulse response functions align with the VARX model, with a few exceptions showing opposite trends. These findings provide valuable insights into how different economic systems respond to external financial pressures, aiding policymakers in making more informed decisions when addressing financial risks. Future research should explore the mechanisms of economic structure, policy response, and market maturity on EMPI's impact, and consider other variables that may affect financial market stability, such as political risk and international capital flows.en_US
dc.description.tableofcontents 1 摘要 I 2 ABSTRACT II 3 目錄 III 4 表目錄 V 5 圖目錄 VI 1 第一章 緒論 7 1.1 研究背景 7 1.2 研究動機與目的 8 1.3 研究架構 10 2 第二章 文獻回顧 12 2.1 外匯市場壓力指數 12 2.2 向量自我迴歸模型 13 3 第三章 樣本選擇與研究方法 15 3.1 樣本選擇與資料來源 15 3.1.1 外匯市場壓力指數資料 15 3.1.2 各國(區域)主要股票大盤指數資料來源 15 3.2 研究方法 17 3.2.1 外匯市場壓力指數計算 17 3.2.2 ADF單根檢定 17 3.2.3 Granger因果關係 19 3.2.4 最適落後期數 20 3.2.5 VARX模型 20 3.2.6 衝擊反應函數 21 4 第四章 實證分析 23 4.1 ADF單根檢定 23 4.2 最適落後期數 25 4.3 VARX模型 28 4.4 衝擊反應分析 32 4.5 GRANGER 因果關係檢定 39 5 第五章 結論 43 6 REFERENCE 44zh_TW
dc.format.extent 2446233 bytes-
dc.format.mimetype application/pdf-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0111352009en_US
dc.subject (關鍵詞) 外匯市場壓力指數zh_TW
dc.subject (關鍵詞) 股票大盤報酬zh_TW
dc.subject (關鍵詞) 即期匯率報酬zh_TW
dc.subject (關鍵詞) 向量自回歸模型zh_TW
dc.subject (關鍵詞) 已開發國家zh_TW
dc.subject (關鍵詞) 新興市場國家zh_TW
dc.subject (關鍵詞) Exchange Market Pressure Indexen_US
dc.subject (關鍵詞) stock market returnsen_US
dc.subject (關鍵詞) VARen_US
dc.subject (關鍵詞) exchange rate returnen_US
dc.subject (關鍵詞) developed countriesen_US
dc.subject (關鍵詞) emerging market countriesen_US
dc.title (題名) 外匯市場壓力指標對股票市場與匯率市場的影響 : 以已開發國家與新興市場國家為例zh_TW
dc.title (題名) The Impact of EMPI on Stock and Foreign Exchange Markets: A Comparative Study of Developed and Emerging Economiesen_US
dc.type (資料類型) thesisen_US
dc.relation.reference (參考文獻) 吳宗隆(2004)。歐元匯率與美元匯率波動對台灣股市報酬影響之研究。私立南華大學財務管理研究所。 吳孟道、周國偉、曾翊恆(2009)。金融市場壓力指標之建置與應用—東亞八國 於此波金融海嘯之表現。台灣經濟論衡,7卷9期,52-73。 林毓翔(2017)。外匯市場之國家風險分析。國立政治大學金融學系研究所。 戴群融(2015)。應用向量自回歸模型於多媒體平台相互影響之研究。國立台灣大學管理學院資訊管理學系。 鍾耀寬(2018)。臺灣電子類股價指數與總體經濟變數關聯性實證研究。國立台灣大學社會科學院經濟學系。 Corte, P. D., Ramadorai, T. & Sarno, L. (2016). Volatility Risk Premia and Exchange Rate Predictability. Journal of Financial Economics 120, 21-40 Dornbusch, R. (1976). Expectations and Exchange Rate Dynamics. J. Polit. Econ. 84 (6), 1161–1176. Girton, L. & D. Roper (1977). A Monetary Model of Exchange Market Pressure Applied to the Postwar Canadian Experience. The American Economic Review, Vol. 67, No. 4, 537-548. Hanno Lustig, Nikolai Roussanov, and Adrien Verdelhan (2011). Common Risk Factors in Currency Markets. The Review of Financial Studies, Volume 24, Issue 11, 3731-3777. Joscha Beckmann and Tjeerd M. Boonman (2021). Expectations, Disagreement and Exchange Rate Pressure. Economics Letter, 212, 110205 Kaminsky, G.L., Lizondo, C.M., & Reinhart, S. (1998). Leading Indicators of Currency Crises. IMF Staff Pap. 45, 1-48. Pan, M. S., Fok, R. CW, & Liu, Y. A. (2007). Dynamic Linkages between Exchanges Rate and Stock Price: Evidence from East Asian Markets. International Review of Economics and Finance, 503-520. Ruth, S.K. (2020). Shifts in Monetary Policy and Exchange Rate Dynamics: Is Dornbusch’s overshooting hypothesis intact, after all? J. Int. Econ. 126, 1–18. Tanner, Evan (2000). Exchange Market Pressure and Monetary Policy: Asia and Latin America in 1990s .IMF Staff Papers, 47:3, 311-333 Weymark, D. N. (1995). Estimating Exchange Market Pressure and the Degree of Exchange Market Intervention for Canada. Journal of International Economics, 39, 273-295 Warsono, E. Russel, Wamiliana, Widiarti & M. Usman (2019). Vector Autoregressive with Exogenous Variable Model and its Application in Modeling and Forecasting Energy Data: Case Study of PTBA and HRUM Energy. International Journal of Energy Economics and Policy, 9(2), 390-398.zh_TW