Reference: | 一、中文部分 1.楊敏生,1994,模糊理論簡介,十八卷一期,數學傳播。 2.金美孜,1997,匯率預測誤差與學習--台灣遠期外匯市場在開放之實證分析,政治大學國際貿易研究所碩士論文。 3.吳宜璋,1996,台幣匯率趨勢預測表現之研究,政治大學國際貿易研究所碩士論文。 4.蔡佳宏,1999,台灣股市與匯市間報酬及波動性之外溢效果—GARCH及GMM之應用,政治大學企業管理研究所碩士論文。 5.陳麗如,2001,估計台幣/美元遠期外匯風險溢酬—馬可夫變換模型之應用,政治大學國際貿易研究所碩士論文。 6.賴耀君,2003,用馬可夫鏈蒙地卡羅法估計隨機波動模型:台灣匯率市場的實證研究,政治大學經濟研究所碩士論文。 7.惠曉峰、柳鴻生、胡偉、何丹青,2003,基於時間序列GARCH模型的人民幣匯率預測,2003年第5期,金融研究。 8.葉家宏,2004,匯率選擇權評價實務上「風險反轉」之探討和其應用在台幣匯率預測模型,政治大學經營管理碩士學程金融組碩士論文。 9.陳宣仰,2005,匯率預測之非線性模型實證研究,政治大學科技管理研究所碩士論文。 10.陳紹珍,2012,匯率報酬模型之非線性調整及可預測性,政治大學金融研究所碩士論文。 11.陳仕偉,2012,馬可夫轉換模型:經濟與財務的應用,指南書局。 12.陳旭昇,2013,時間序列分析—總體經濟與財務金融之應用,台灣大學經濟系。 13.吳修宏,2013,小波分析方法對時間序列模型預測能力之影響—以新台幣兌美元匯率為例,政治大學金融研究所碩士論文。 14.梁奕鴻,2014,3天搞懂外幣投資,日月文化出版股份有限公司。 15.中央研究院經濟研究所總體經濟預測小組,2015,台灣經濟情勢總展望,臺灣經濟預測與政策。 16.魏雲捷、崔曉楊、鮑勤、汪壽陽,2016,匯率波動對我國對外貿易的影響分析,2016年第31期,中國科學院院刊。 17.中央研究院經濟研究所總體經濟預測小組,2017,台灣經濟情勢總展望,臺灣經濟預測與政策。 18.徐喬,2017,經濟學,志光教育科技股份有限公司數位出版分公司。 19.楊宗桓,2017,外匯套利I,寰宇出版股份有限公司。
二、英文部分 1.Meese, R.A. and Rogoff, K.,1983, Empirical exchange rate models of the seventies--do they fit out of sample? , Journal of International Economics 14, 3-24. 2.Boothe, P. and Glassman, D.,1987, Comparing exchange rate forecasting models—accuracy versus profitability, International Journal of Forecasting 3, 65-79. 3.C Engel and JD Hamilton ,1990, Long swings in the exchange rate: Are they in the data and do markets know it? , American Economic Review 80, 689-713. 4.Fang, H and Kwong, K.K.,1991, Forecasting foreign exchange rate, Journal of Business Forecasting 10, 16-19. 5.MacDonald, R. and Taylor, M.P.,1993, The monetary approach to the exchange rate, International Monetary Fund Staff Papers 40, 89-107. 6.JD Hamilton,1994, Specification testing in Markov-switching time-series models, Journal of Econometrics 70, 127-157 7.MacDonald, R. and Taylor, M.P.,1994, The monetary model of the exchange rate: long-run relationships, short-run dynamics, and how to beat a random walk, Journal of International Money and Finance 13, 276-290. 8.Engel, C. ,1994, Can the Markov switching model forecast exchange rates? ,Journal of International Economics 36, 151-165. 9.Kim,Chang-Jin, 1994, Dynamic linear models with Markov-switching, Journal of Econometrics 60, 1-22. 10.S.M. Chen,1996, Forecasting enrollments based on fuzzy time series , Fuzzy Sets And Systems 81, 311-319. 11.MacDonald, R.,1998, What determines real exchange rate? the long and the short of it, Journal of Financial Markets, Institutions and Money 8, 117-153. 12.Siddique, A. and Sweeney, R.J.,1998, Forecasting real exchange rate, Journal of International Money and Finance 17, 63-70. 13.Sarantis, N.,1999, Modeling nonlinearities in real effective exchange rate, Journal of International Money and Financial 18, 27-45. 14.Jeong, J.G.,2000, What derives exchange rate: The case of the yen/dollar rate, Multinational Business Review 8, 31-36. 15.IW Marsh,2000, high-frequency Markov switching models in the foreign exchange market, Journal of Forecasting 19, 123-134. 16.F Klaassen,2002, Improving GARCH volatility forecasts with regime-switching garch, Advances in Markov-Switching Models, 223-254. 17.Fang-Mei Tseng, Gwo-Hshiung Tzeng, Hsiao-Cheng Yu, Benjamin J.C. Yuan,2001, Fuzzy ARIMA model for forecasting the foreign exchange market, Journal of International Money and Finance 118, 9-19. 18.Tambakis, N. and A.-S.V. Royen,2002, Conditional predictability of daily exchange rate, Journal of Forecasting 21, 301-315. 19.PR Hansen, A Lunde ,2005, A forecast comparison of volatility models: Does anything beat a GARCH (1,1)? , Journal of Applied Econometrics 20, 873-889. 20.HY Lee, SL Chen ,2006, Why use Markov-switching models in exchange rate prediction?, Economic Modelling 23, 662-668. 21.M Dueker, CJ Neely, 2007, Can Markov switching models predict excess foreign exchange returns? Journal of Banking & Finance 31, 279-296. 22.SM Fahimifard, M Homayounifar, M.Sabouhi and A.R. Moghaddamnia,2009, Comparison of ANFIS,ANN,GARCH and ARIMA techniques to exchange rate forecasting, Journal of Applied Sciences 9,3641-3651. 23.Walter Enders, 2014, Applied Econometric: Time Series, John Wiley&Sons Inc., 4th Edition. 24.Haji A.Haji, Kusman Sadik, and Agus Mohamad Soleh, 2018, A comparative simulation study of ARIMA and fuzzy time series model for forecasting time series data, IJSRSET 4, 49-56. |