參考文獻
國內文獻
1.曾繁仁,(民77),「台灣股票報酬行為分析—應用Markov Switching模型」,淡江大學產業經濟研究所碩士論文。2.謝昆翰(民84),「台灣景氣指標之研究—兩狀態馬可夫轉換模型實證」,清華大學經濟研究所碩士論文。3.黃裕烈(民85),「Markov Switching Model:台灣實質GNP的應用」,台灣大學經濟研究所碩士論文。4.邱哲修、邱建良、李命志(1999),「貨幣政策對產生之不對稱效果-台灣實證研究」,《財稅研究》,第31期,第一季,76-84。5.黎明淵,(民89),「馬可夫轉換模型應用性與合用性探討」,國立政治大學國際貿易研究所博士論文。6.何秉樺,(民90),「台灣貨幣政策之研究----泰勒法則之應用」,國立暨南國際大學經濟研究所碩士論文。7.徐千婷(民90),「我國貨幣情勢指數之實證研究」,中央銀行季刊,第二十三卷第一期,頁95-116。8.陳怡靜,(民90),「台灣地區總體經濟因素與股票和債券報酬關係之實證研究」,國立中山大學財務管理研究所碩士論文。9.陳惠美,(民90),「匯率模型預測績效之探討」,淡江大學財務金融研究所碩士論文。10.楊靜榆,(民90),「兩狀態下的國際資產配置-馬可夫轉換模型之應用」,國立中央大學碩士論文。11.蔡兆龍,(民91),「如何準確地認定台灣景氣循環轉折點馬可夫轉換模型的應用」,東海大學經濟學系碩士論文。12.黎明淵(民91),「高、低股市波動狀態下之雙重貝它係數檢測-美國、日本與亞洲四小龍股市實證研究」,台灣管理學刊,第二卷第二期,頁99-118。
13.吳景梅,(民92),「我國匯率與總體經濟指標關係之實證研究」,私立世新大學經濟研究所碩士論文。14.張郁卿,(民92),「馬可夫轉換模型-期間利差與景氣循環之分析」,淡江大學財務金融學系碩士在職專班碩士論文。15.彭惠琴(民92),「通貨膨脹、就業及貨幣政策與景氣循環之關聯性」,中原大學國際貿易學系碩士論文。16. 楊士賢,(民92),「應用馬可夫決策過程進行台股期貨日內交易策略之研究」,東海大學工業工程與經營資訊研究所碩士論文。17.林詩宸,(民94),「貨幣政策對產出之不對稱影響:馬可夫轉換模型的應用」,東華大學國際經濟研究所碩士論文。18.陳家雄,(民94),「匯率波動與外資買賣:馬可夫轉換模型之運用」,輔仁大學金融研究所碩士論文。19.詹松盛,(民94),「應用馬可夫鏈進行台股現貨與期貨間交易策略」,國立中央大學財務金融學系碩士在職專班論文。20.邱建良、姜淑美和翁百郁,(民95),「期間利差、股票報酬與景氣循環關聯性之探討」,華岡經濟論叢,第二期第五卷,頁69-95。國外文獻
1. Barro, R. J. (1977), “Unanticipated Money Growth and Unemployment in the United States”, American Economic Review, Vol. 67, pp. 101-15.
2. Barro, R. J. (1978), “Unanticipated Money Output, and the Price Level in the United States”, Journal of Political Economy, Vol. 86, pp. 549-80.
3. Barro, R. J. and Rush, M. (1980), “Unanticipated Money and Economic Activity”, Rational Expectations and Economic Policy, Stanley Fisher, ed. Chicago, IL: University of Chicago Press.
4. Cover, J. P. (1992), “Asymmetric Effects of Positive and Negative Money Supply Shocks”, Quarterly Journal of Econometrics, CVIL, pp. 1261-1282.
5. Cai, J. (1994), “A Markov Model of Switching-Regime ARCH, Journal of Business and Economic Statistics”, Vol. 12, pp. 309-316.
6. DeLong, J. B. and Summers, L. H. (1988), “How Does Macroeconomic Policy
Affect Output?”, Brookings Papers on Economic Activity, Vol. 2, pp. 433-80.
7. Engel, C. and J. D. Hamilton (1990), “Long Swings in the Dollar: Are They in the Data and Do Markets Know It”, American Economic Review, Vol. 80, No. 4, pp. 689-713.
8. Florio, A. and Milano, P. D., 2004, “The Asymmetric Effects of Monetary Policy”, Journal of Economic Surveys, vol. 18, no.3, pp. 409-426.
9. Hamilton, J. D., (1989), “A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle”, Econometrica, 57, pp. 357-384.
10. Hamilton, J. D., (1996), “Specification testing in Markov-switching time-series models”, Journal of Econometrics, 70, pp. 127-157.
11. Jensen. G.. R. and J. M. Mercer (2002), “Monetary Policy and the Cross-Section of Expected Stock Returns”, Journal of Financial Research, Vol. 25. pp. 125-140
12. Karras, G. (1996a), “Why Are the Effects of Money-Supply Shocks Asymmetric Convex Aggregate Supply or Pushing on a String”, Journal of Macroeconomics, Vol.18, No. 4, pp. 605-619.
13. Karras, G. (1996b), “Are the Output Effects of Monetary Policy Asymmetric? Evidence from a Sample of European Countries”, Oxford Bulletin Economics and Statistics, Vol. 58, pp. 267-78.
14. Lucas, R. E. Jr. (1987), “Models of Business Cycles”, Review of Economic Studies, 44, pp. 287-303.
15. Morgan, D. P. (1993), “Asymmetric Effects of Monetary Policy”, Federal Reserve Bank of Kansas City Economic Review, Vol. 78, pp. 21-33.
16. Phillips, P. C. B. and Perron, P., (1988), Testing for Unit Root in Time Series
Regression, Biometrics, Vol. 75, pp. 335-346.
17. Quandt, R. E. (1972), “A New Approach to Estimating Switching Regressions” Journal of the American Statistical Association, 67, 306-310
18. Rhee, W. and Rich, R. W. (1995), “Inflation and the Asymmetric Effects of Money on Output Fluctuations”, Journal of Macroeconomics, Vol. 17, pp. 683-702.
19. Sims, A. C. (1980), “Comparison of Interwar and Postwar Business Cycles: Monetarism Reconsidered,” American Economic Review, 70, pp.250-257.
20. Smith D. R. (2002), “Morkov-Switching and StochasticVolatility DiffusionModels of Short-Term Interest Rates”, Journal of Business and Economics Statistics, 20, 183-198.