Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/88684
題名: 外匯市場非線型時間序列之實證研究 --自迴歸條件異質變異數與類神經網路模式分析法
A Non-linear Series Analysis of Foreign Market --An ARCH and Neural Approach
作者: 葉俊雄
Yeh, Jiunn Shyong
貢獻者: 毛維凌
Mao, Wei Ling
葉俊雄
Yeh, Jiunn Shyong
關鍵詞: 隨機漫步模式
確定混沌體系
類神經網路
倒傳遞網路模式非線型時間序列模式
自迴歸條件異質變異數模式
Network
Non-Linear Time Series
ARCH
Forecasting
日期: 1993
上傳時間: 29-Apr-2016
摘要: 學界間廣泛地認為一般金融資產報酬具有的特性是:線型不可預測性,條件
參考文獻: [1J 毛維凌[民80],“從方法論看非線型動態經濟模型\",政治大學經濟所演\r\n講稿。\r\n[2] 何祖平[民80],“多元自迴歸條件異質變異數模型一主要國際貨幣間關\r\n聯性之研究\",政治大學國際貿易研究所碩士論文。\r\n[3] 吳柏林,劉文卿,陳奕光[民81 ],“隨機模式與混沌模式立預測穩健性探\r\n討\"中國統計學報,第30 卷第2 期, 169-189 頁。\r\n[4] 莊委桐[民81],“非線型動態模型檢定與在總體經濟模型之應用\"政治\r\n大學經濟研究所碩士論文。\r\n[5J 許怡隆[民78],“外匯市場風險性溢價之探討一異質條件變異數分析法\r\n之研究\"政治大學國際貿易研究所碩士論文。\r\n[6] 葉怡成[民82],“顯神經網路模式應用與實作\"儒林圖書公司。\r\n[7] 張淑玲[民80],“總體時間數列非恆定性之研究\",政治大學國際貿易研\r\n究所碩士論文。\r\n\r\n\r\n[1]Ashley,R.A., Patterson, D.M. and Hinich,M.J.(1986),”A Diagnostic Test for Nonlinear Serial Dependence in Time Series Fitting Errors”, Journal of Time Series Analysis, Vol.7,No.3, 165-178.\r\n[2]Ashley, R.A. and Patterson, D.M.(1989),”Linear Versus Nonlinear Macroeconomics: A Statistical Test” ,International Economic Review, Vol.30, No.3, 685-706.\r\n[3]Baillie, R.T. and Boolerslev, T.(1989), “The Message in Daily Exchange Rates: A Conditional –Variance Tale”, Journal of Business and Economic Statistics, Vol.7,No.3, 297-305.\r\n[4]Baillie,R.T. and .McMahon,P.C.(1989), The Foreign Exchange Market: Theory and Econometric Evidence, Cambridge University Press.\r\n[5]Bollerslev, T.(1986), “Generalized Autoregressive Conditional Heteroskedasticity”,Journal of Econometrics, Vol.31,307-327.\r\n[6]Brock, W.A(1987),”Notes on Nuisance Parameter Problems in BDS Type Tests for IID”,working paper, University of Wisconsin-Madison.\r\n[7]Brock,W.A.,Dechert,W.D. and Scheinkman, J.A.(1987),”A Test for Independence Based on the Correlation Dimension”, unpublished manuscript,University of Wisconsin-Madison.\r\n[8]Brock,W.A., Hsieh,D.A. and LeBaron,B.(1991), Nonlinear Dynamics, Chaos, and Instability: Statistical Theory and Economic Evidence, MIT Press.\r\n[9]Brock, W.A. and Sayers, C.L.(1988),”Is the Business Cycle Characterized by Deterministic Chaos”,Journal of Monetary Ecxonomics, Vol.22, 71-90.\r\n[10]Brockett, P.L., Hinich,M.J. and Patterson, D.(1988),”Bispectral-Based Tests for the Detection of Gaussianity and Linearity in Time Series”, Journal of the American Statistical Association, Vol.83,No.403, 657-664.\r\n[11]Cao,C.Q. and Tsay, R.S.(1992), “Nonlinear Time Series Analysis of Stock Volatilities”, Journal of Applied Econometrics, Vol.7, 165-185.\r\n[12]Cryer,J.D.(1986),Time Series Analysis, PWS Publishers.\r\n[13]Davies,N. and Petruccelli,J.D.(1986),”Detecting Non – linearity in Time Series”, The Statistician, Vol.35, 271-280.\r\n[14]Dechert, W.(1987),”A Program to Calculate BDS Statistics for the IBM PC”,Technical paper, Department of Economics, The University of Houston.\r\n[15]Dickey,D.A. and Fuller, W.A.(1979).”Distribution of the Estimators for Autoregressive Time Series With a Unit Root”, Journal of the American Statistical Association, Vol.74, 427-431.\r\n[16]Dickey,D.A. and Fuller,W.A.(1981),”Likelihood Ratio Statistics for Autoregressive Time Series With a Unit Root”, Econometrica, Vol.49,No.4, 1057-1072.\r\n[17]Diebold,F.X.(1988),”Empirical Modeling of Exchange Rate Dynamics”, Lecture Notes in Economics and Mathematical System 303, Spring-Verlag published.\r\n[18]Diebold,F.X. and Nerlove, M.(1989),”The Dynamics of Exchange Rate Volatility: A Multivariate Latent Factor ARCH Model” , Journal of Applied Econometrics, Vol.4, 1-21.\r\n[19]Diebold, F.X. and Nason J.A (1990),”Nonparametric Exchange Rate Prediction?”,Journal of International Economics, Vol. 28, 315-332.\r\n[20]Engle, R.F.(1982),”Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation”, Econometrica, Vol.50, No.4, 987-1007.\r\n[21]Engle, R.F. and Bollerslev,T.(1986),”Modelling the Persistence of Conditional Variances”, Econometric Reviews.Vol.5, No.1, 1-50.\r\n[22]Engle,R.F.,Lilien,D.M. and Robins,R.P.(1987),”Estimating Time Varying Risk Premia in the Term Structure:The ARCH-M Model”,Econometrica, Vol.55, No.2, 391-407.\r\n[23]Fama,E.F.(1965),”The Behavior of Stock Market Prices”, Journal of Business, Vol.38,34-105.\r\n[25]Freeman,J.A. and Skapura, D.M.(1991),Neural Networks: Algorithms,Applications, and Programming Techniques, Addison-Wesley Publishing Company.\r\n[26]Funahashi,K.(1989),”On the Approximate Realization of Continuous Mappings by Neural Networks”, Neural Networks, Vol.2, No.3, 183-192.\r\n[27]Gooijer, J.D.E. and Kumar,K.(1992),”Some Recent Developments in Nonlinear Time Series Modelling, Testing, and Forecasting”, International Journal of Forecasting, Vol.8, 135-156.\r\n[28]Granger, C.W.J.(1991),”Developments in the Nonlinear Analysis of Economic Series”,Scand.Journal of Economics, Vol.93, No.2, 263-276.\r\n[29]Gujarati,D.N.(1988),Basic Econometrics, McGraw-Hill Book Company\r\n[30]Hecht-Nielsen, R. (1990), Neurocomputing, Addison – Wesley Publishing Company.\r\n[31]Higgins,M.L.and Bera,A.K.(1992),”A class of Nonlinear ARCH Models”, International Economic Review ,Vol.33, No.1 , 137-158.\r\n[32]Hinich,M.J. and Patterson,D.M.(1985).”Evidence of Nonlinearity in Daily Stock Returns”, Journal of Business and Statistics, Vol.3, No.1, 69-77.\r\n[33]Hornik,K.,Stinchcombe, M.and White, H.(1989),”Multilayer Feedforward Networks Are Universal Approximators”, Neural Networks, Vol.2, 359-366.\r\n[34]Hsieh, D.A.(1989),”Testing for Nolinear Dependence in Daily Foreign Exchange Rates”, Journal of Business, Vol.62,No.3, 339-368.\r\n[35]Hsieh,D.A.(1991),”Chaos and Nonlinear Dynamics: Application to Financial Markets”, Journal of Finance, Vol. 46, No.5, 1839-1877.\r\n[36]Hsieh,D.A. and LeBaron,B.(1988),”Finite Sample Properties of the BDS Statistic”, University of Chicago and University of Wisconsin-Madison.\r\n[37]Keenan, D.M.(1985),”A Tukey Nonadditivity-Type Test for Time Series Nonlinearity”,Biometrika,Vol.72, 39-44.\r\n[38]Kräger,H. and Kugler, P.(1993),”Non-linearities in Foreign Exchange Markets: A Different Perspective”, Journal of International Money and Finance, Vol.12,195-208.\r\n[39]Lee,T.H.,White H. and Granger, C.W.J.(1993),”Testing for Neglected Nonlinearity in Time Series Models: A Comparison of Neural Network Methods and Alternative Tests”,Journal of Econometrics , Vol.56, 269-290.\r\n[40]Lee,T.H.,White H. and Granger,C.W.J.(1989),”Testing for Neglected Nonlinearity in Time Series Models: A Comparison of Neural Network Methods and Alternative Tests”, Department of Economics, University of California ,San Diego.\r\n[41]Lin,C.F.(1992),The Econometrics of Structural Change ,Neural Network and Panel Data Analysis, Dissertation of Ph.D. in Economics, University of California ,San Diego.\r\n[42]Liu,T.,Granger, G.W.G. and Heller , W.P.(1992), “Using the correlation Exponent to Decide Whether and Economic Series is Chaotic”,Journal of Applied Econometrics, Vol.7,S25-S39.\r\n[43]Ljung,G.M. and Box ,G.E.P.(1978),”On a Measure of Lack of Fit in Time Series Models”, Biometrika, Vol.65,No.2, 297-303.\r\n[44]Luukkonen, R.,Saikkonen, P. and Teräsvirta, T.(1988), “ Testing Linearity in Univariate Time Series Models”, Scandanavian Journal of Statistics, Vol.15, 161-175,\r\n[45]Maravall, A (1983), “An Application of Nonlinear Time Series Forecasting “, Journal of Business and Economic Statistics, Vol.1, No. 1, 66-74.\r\n[46]Meese, R.A. and Rogoff,K.(1983),”Empirical Exchange Rate Models of The Seventies: Do They Fit Out of Sample?” ,Journal of International Economics, Vol.14,3-24.\r\n[47]Meese, R.A. and Singleton,K.J.(1982),”On Unit Roots and the Empirical Modeling of Exchange Rates”, Journal of Finance, Vol.37,No.4, 1029-1035.\r\n[48]McCurdy,T.H. and Stengos,T.(1992),”A Comparison of Risk-premium Forecasts Implied by Parametric versus Nonparametric Conditional Mean Estimators”, Journal of Econometrics, Vol. 52, 225-244.\r\n[49]McLeod,A.I. and Li,W.K.(1983),”Diagnostic Checking ARMA Time Series Models Using Squared –Residuals Autocorrelations”, Journal of Time Series Analysis, Vol.4,269-273.\r\n[50]Milhoj.A.(1985),”The Moment Structure of ARCH Processes”, Scandanavian Journal of Statistics, Vol.12, 281-292.\r\n[51]Nelson,M.M.and Illingworth,W.T.(1991),A Practical Guide to Neural Nets, Addison-Wesley Publishing Company.\r\n[52]Nelson,C.R. and Plosser, C.I.(1982), “Trends and Random Walks in Macroeconomic Time Series: Some Evidence and Implications”, Journal of Monetary Economics, Vol.10, 139-162.\r\n[53]Phillips,P.C.B(1987),”Time Series Regression With a Unite Root,” , Econometrica, Vol.55, No.2, 277-301.\r\n[54]Plosser, C.I. and Schwert ,G.W.(1997),”Estimation of a Non- invertible Moving Average Process: The Case of Overdifferencing”,Journal of Econometrics, \r\n[55]Priestley, M.B.(1980),”State-Dependent Models” A General Approach to Non-Linear Time Series Analysis”, Journal of Time Series Analysis, Vol.1, No.1 47-71.\r\n[56]Priestley,M.B.(1988),Non-linear and Non-Stationary Time Series Analysis,Academic Press.\r\n[57] Ramsey,J .B., Sayers,C.L. and Rothman,P.(1992), \"The Statistical Properties\r\nof Dimension Calculations Using Small Data Sets: Some Economic\r\nApplications\", in Benhabib(ed.), Cycles and Chaos in Economic Equilibrium,\r\nPrinceton University Press.\r\n[58] Ramsey,J .B., Sayers,C.L. and Rothman,P.(1990), \"The Statistical Properties\r\nof Dimension Calculations Using Small Data Sets: Some Economic\r\nApplications\", International Economic Review, Vol.31, No.4, 991-1020.\r\n[59] Rao,T.S. and Gabr,M.M.(1980), \"A Test for Linearity of Stationary Time\r\nSeries\", Journal of Time Series analysis, Vol.l, No.1, 145-158.\r\n[60] Ray,D.(1988), \"Comparison of Forecasts: An Empirical Investigation\",\r\nSankhy ii: The Indian Journal of Statistics, Vol. 50, Series.B, 258-277.\r\n[61] Rumelhart,D.E., Hinton,G.E. and Williams,R.J .(1986), \"Learning Representations\r\nby Back - propagating Errors\", Nature, Vol.323, 533-536 .\r\n[62] Saikkonen,P. and Luukkonen,R.(1988), \"Lagrange Multiplier Tests for\r\nTesting Non - linearities in Time Series Models\", Scandanavian Journal\r\nof Statistics, Vol.15, 55-68.\r\n[63] Scheinkman,J .A. and LeBaron,B.(1989a), \"Nonlinear Dynamics and GNP\r\nData\", in William A. John Geweke and Karl SheJ1(eds), Economic Complexity:\r\nChaos, Sunspots, Bubbles, and Nonlinearity, Cambridge.\r\n[64] Scheinkman,J.A. and LeBaron,B.(1989b), \"Nonlinear Dynamics and Stock\r\nReturns\", Journal of Business, Vol.62, No.3, 311-337.\r\n[65] Scheinkman,J .A.(1990), \"Nonlinearities in Economic Dynamics\", The Economic\r\nJournal, Vol.100, 33-48.\r\n[66] Terasvirta,T., Lin,C.F. and Granger,C.W.J .(1993), \"Power of the Neural\r\nNetwork Linearity Test\", Journal of Time Series Analysis, Vol.l4, No.2,\r\n209-220.\r\n[67] Terasvirta,T., Lin,C.F. and Granger,C.W.J.(1991), \"Power of the Neural\r\nNetwork Linearity Test\", Discussion Paper 91-01, Department of Economics,\r\nUniversity of California, San Diego.\r\n[68] Tsay,R.S.(1986), \"Nonlinearity Tests for Time Series\", Biometrika, Vol. 73,\r\n461-466.\r\n[69] Tong,H.(1990), Nonlinear Time Series: A Dynamic System Approach,\r\nOxford University Press, London.\r\n[70] Tong,H. and Lim,K.S.(1990), \"Threshold Autoregression, Limit Cycles\r\nand Cyclical Data\" , Journal of Royal Statistical Society, Series.B, VoIA2,\r\nNo.3, 245-292.\r\n[71] Wei,W.W.S.(1990), Time Series Analysis: Univariate and Multivariate\r\nMethods, Addison - `Wesley Publishing Company.\r\n[72] Weigend,A.S., Huberman,B.A. and Rumelhart,D.E.(1990), \"Predicting\r\nthe Future: A Connectionist Approach\", International Journal of Neural\r\nSystems, Vol.1, No.3, 193-209.\r\n[73] Weiss,A.A.(1986), \"ARMA Models with ARCH Errors\", Journal of Time\r\nSeries Analysis, Vol.5, No.2, 1-25.\r\n[74] Weiss,A.A .(1986), \"ARCH and Bilinear Time Series Models: Comparison\r\nand Combination\", Journal of Business and Economic Statistics, VolA,\r\n59-70.\r\n[75] White,H.(1988), \"Economic Prediction Using Neural Networks: The Case\r\nof IBM Daily Stock Returns\", Proceedings of the lEE International Conference\r\non Neural Networks, San Diego.\r\n[76] White,H.(1989), \"Some Asymptotic Results for Learning in Single Hidden\r\nLayer Feedforward Network Models\", Journal of the American Statistic\r\nAssociation, Vol.84, 1008-1013.
描述: 碩士
國立政治大學
經濟學系
G796802
資料來源: http://thesis.lib.nccu.edu.tw/record/#B2002004218
資料類型: thesis
Appears in Collections:學位論文

Files in This Item:
File SizeFormat
index.html115 BHTML2View/Open
Show full item record

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.