系統識別號 | U0002-0601202015141200 |
---|---|
DOI | 10.6846/TKU.2020.00115 |
論文名稱(中文) | 原物料價格與原物料進口國匯率之關係 |
論文名稱(英文) | The relationship between real commodity price and real exchange rate of commodity-importing countries |
第三語言論文名稱 | |
校院名稱 | 淡江大學 |
系所名稱(中文) | 經濟學系經濟與財務碩士班 |
系所名稱(英文) | Master's Program in Economics and Finance, Department of Economics |
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 | 108 |
學期 | 1 |
出版年 | 109 |
研究生(中文) | 吳爰媛 |
研究生(英文) | Yuan-Yuan Wu |
學號 | 607570172 |
學位類別 | 碩士 |
語言別 | 繁體中文 |
第二語言別 | |
口試日期 | 2019-12-27 |
論文頁數 | 41頁 |
口試委員 |
指導教授
-
林亦珍
委員 - 孫育伯 委員 - 廖惠珠 |
關鍵字(中) |
縱橫資料平滑移轉迴歸模型 原物料價格 商品進口國 實質匯率 縱橫資料固定效果門檻模型 金融整合 |
關鍵字(英) |
Panel Smooth Transition Regression Model Commodity prices Commodity-importing countries Exchange rate Fixed-effect Panel Threshold Model Financial integration |
第三語言關鍵字 | |
學科別分類 | |
中文摘要 |
本文研究目的在探討原物料價格變動與進口國匯率變動之間的關係。我們將各國的金融整合程度視為物價與匯率相互影響的傳導媒介,並討論原物料價格與匯率的關係是否會隨著進口國的金融整合程度而有所不同。採用兩種研究方法:第一為縱橫資料固定效果門檻模型,第二為縱橫平滑移轉迴歸模型。我們的研究結果發現能源價格、原物料價格、Balassa-Samuelson效應以及國外資產淨額占GDP比重對匯率的影響,會隨著金融整合程度的升高而減少。 |
英文摘要 |
The purpose of this paper is to explore the relationship between real commodity price and real exchange rate of commodity-importing countries. We consider the degree of financial integration as a transmission channel through which commodity price affects exchange rate, and discuss whether the relationship between commodity prices and exchange rates varies with the degree of financial integration of commodity-importing countries. Two research methods are adopted: the first is the fixed-effect panel threshold model, and the second is the panel smooth transition regression model. Our results show that the effects of energy prices, raw materials prices, Balassa-Samuelson effect and the ratio of net foreign assets to GDP on exchange rate decrease as the degree of financial integration increases. |
第三語言摘要 | |
論文目次 |
目錄 I 表目錄 III 圖目錄 IV 第一章、緒論 1 1.1研究動機 1 1.2研究目的 2 1.3研究架構 2 第二章、文獻回顧 4 2.1匯率相關 4 2.1.1以進、出口國為樣本 4 2.1.2以出口國為樣本 8 2.2金融整合相關 11 2.3 PSTR模型應用 11 2.4文獻回顧小結 13 第三章、資料與變數定義 13 3.1資料 13 3.2變數定義 14 第四章、方法與模型 15 4.1研究方法 15 4.1.1 縱橫資料固定效果門檻模型Fixed-effect Panel Threshold Model 16 4.1.2 縱橫平滑移轉迴歸模型Panel Smooth Transition Regression Model 16 4.2實證模型 18 第五章、實證結果 19 5.1 縱橫資料固定效果門檻模型之實證結果 19 5.2 縱橫平滑轉移迴歸模型之實證結果 24 5.3 FEPT與PSTR模型結果之比較 35 第六章、結論 36 參考文獻 38 附錄 40 表目錄 表5.1.1FEPT模型之門檻估計值:金融整合程度指標為M2/GDP 19 表5.1.2FEPT模型之門檻效果檢定:金融整合程度指標為M2/GDP 19 表5.1.3FEPT模型之門檻估計值:金融整合程度指標為FDI/GDP 20 表5.1.4FEPT模型之門檻效果檢定:金融整合程度指標為FDI/GDP 20 表5.1.5FEPT模型之估計結果:金融整合程度指標為FDI/GDP 21 表5.1.6FEPT模型之門檻估計值:金融整合程度指標為PC/GDP 22 表5.1.7FEPT模型之門檻效果檢定:金融整合程度指標為PC/GDP 22 表5.1.8FEPT模型之估計結果:金融整合程度指標為PC/GDP 24 表5.2.1PSTR模型之線性檢定 25 表5.2.2轉換函數形式檢定 26 表5.2.3PSTR模型之估計結果:金融整合程度指標為FDI/GDP 27 表5.3.1FEPT與PSTR模型估計結果比較 35 附表1.1進口國家列表 40 附表1.2變數定義與來源 41 圖目錄 圖1.3.1研究架構之流程圖 3 圖5.2.1BALASSA-SAMUELSON效應係數變化圖 29 圖5.2.2國外資產淨額占GDP比重係數變化圖 30 圖5.2.3能源價格係數變化圖 31 圖5.2.4原物料價格係數變化圖 32 圖5.2.5外國直接投資占GDP比重係數變化圖 33 圖5.2.6轉換函數圖 34 |
參考文獻 |
Adams, Z. and Glück, T. (2015). “Financialization in commodity markets: A passing trend or the new normal?” Journal of Banking and Finance, 60, pp. 93-111. Aghion, P., Bacchetta, P., Ranciere, R. and Rogoff, K. (2009). “Exchange rate volatility and productivity growth: The role of financial development” Journal of Monetary Economics, 56, pp.494-513. Basher, S., Haug, A. and Sadorsky, P. (2016). “The impact of oil shocks on exchange rates: A Markov-switching approach” Energy Economics, 54, pp. 11-23. Beckmann, J. and Czudaj, R. (2013a). “Is there a homogeneous causality pattern between oil prices and currencies of oil importers and exporters?” Energy Economics, 40, pp. 665-678. Boubakri, S., Guillaumin, C., Silanine, A. (2019). “Non-linear relationship between real commodity price volatility and real effective exchange rate: The case of commodity-exporting countries” Journal of Macroeconomics, 60, pp.212-228. Cashin, P., Céspedes, L. and Sahay, R. (2004). “Commodity currencies and the real exchange rate” Journal of Development Economics, 75(1), pp. 239-268. Fratzscher, M., Schneider, D. and Robays, I. V. (2014). “Oil prices, exchange rates and asset prices” European Central Bank Working Paper, No.1689. Giannellis, N. and Koukouritakis, M. (2019). “Gold price and exchange rates: A panel smooth transition regression model for the G7 countries” North American Journal of Economics and Finance, 49, pp. 27-46. González, A., Teräsvirta, T., van Dijk, D. and Yukai, Y. ( 2017). “Panel Smooth Transition Regression Models” Department of Economics and Business Economics, Aarhus University CREATES Research Paper, 36. Hansen, B. E. (1996). “Threshold effects in non-dynamic panels: Estimation, testing and inference” Journal of Econometrics, 93, pp. 345-368. Habib, M. M., Bützer, S. and Stracca, L. (2016). “Global exchange rate configurations: Do oil shocks matter?” IMF Economic Review, (64), No. 3. Lizardo, A. R. and Mollick V. A. (2010). “Oil price fluctuations and U.S. dollar exchange rates” Energy Economics, 32, pp. 399-408. Teräsvirta, T. (1994). “Specification, estimation, and evaluation of smooth transition autoregressive models” Journal of the American Statistical Association, 89, pp. 208–218. Teräsvirta, T. (1998). “Modelling economic relationships with smooth transition regressions” in Handbook of applied economic statistics, ed. by A. Ullah, and D. E. A. Giles, pp. 507–552. New York: Marcel Dekker. Teräsvirta, T., Tjøstheim D. and Granger C. W. J. (2010). “Modelling Nonlinear Economic Relationships” Oxford: Oxford University Press. Wang, Q. (2015). “Fixed-effect panel threshold model using Stata” The Stata Journal, 15, Number 1, pp.121-134. |
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