FİNANSAL VARLIK FİYATLARINDAKİ DEĞİŞME – PARASAL BÜYÜKLÜKLER ETKİLEŞİMİ

Bu çalışmanın amacı, TCMB bilançosundan elde edilen parasal büyüklüklerin ve bunları oluşturan bileşenlerinin uzun hafızaya sahip olup olmadıklarını ortaya koymak ve bu büyüklüklerin bir politika hedefi olarak kullanılıp kullanılmayacağını, ampirik olarak analiz etmektir. İktisadi zaman serilerinde, fractional (parçalı) yapıya dayalı, test ve analiz yöntemleri, bu çalışmanın ampirik boyutuna taban oluşturmaktadır.

The aim of this study is to reveal whether the monetary aggregates and their components obtained from the CBRT balance sheet have long memory, and to analyze empirically whether these aggregates can be used as policy target. The empirical part of the study at hand consists of fractional analysis in the economic time series.

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  • AKTAN, Coşkun Can, UTKULU, Utku ve Selahattin TOGAY (1998), Nasıl Bir Para Sistemi? Parasal Disiplin ve İstikrar İçin Alternatif Öneriler, İMKB Yayını, İstanbul. AYTAÇ, Uğur (2002), “Dalgacıklar Teorisi”, http://www.mat.itu.edu.tr/unalmis, (21.Şubat.2005).
  • BAILLIE, R.T. (1996), “Long Memory Processes and Fractional Integration in Econometrics”, Journal of Econometrics, 73, 5-59.
  • BARKOULAS, J.T. ve C.F. BAUM (1998), “Stochastic Long Memory in Traded Goods Prices”, Applied Economics Letters,5, 135-138.
  • BARKOULAS, J.T., BAUM, C.F. ve M. CAĞLAYAN (1998),”Fractional Monetary Dynamics”, Boston College Working Papers in Economics, No.321.
  • BAUM, C. ve J. BARKOULAS (1996), “Time-Varying Risk Premia in the Foreign Currency Futures Basis”, Boston College Working Papers in Economic, No.281.
  • DÜLGER, Fikret ve Mehmet F. CİN (2002), “Türkiye’de Döviz Kuru Dinamiklerinin Belirlenmesinde Parasalcı Yaklaşım ve Eşbütünleşme Analiziyle Sınama”, ODTÜ Gelişme Dergisi, 29(1-2).
  • ENDERS, W. ve P.L. SIKLOS (2001), “Cointegration and Threshold Adjustment”, Journal of Business and Economic Statistics, 19(2), 176.
  • ENGLE, R.F. ve C.W.J. GRANGER (1987), “Cointegration and Error Correction:Representation, Estimation and Testing”, Econometrica, (2), 251-276.
  • ENGLE, R.F. ve B.S. YOO (1991), “Cointegrated Economic Time Series:An Overview with New Results”, in Long-run Economic Relationships:Readings in Cointegration, R.F. Engle and C.W.J. Granger (eds.), Oxford University Press, New York.
  • GEWEKE, J. ve S. PORTER-HUDAK (1983), “The Estimation and Application of Long Memory Time Series Models”, Journal of Time Series Analysis, 4, 221-238.
  • GRANGER, C.W.J. (1981), “Some Properties of Time Series Data and Their Use in Econometric Model Specification”, Journal of Econometrics, , 121-30.
  • GRANGER, C.W.J. (1986), “Developments in the Study of Cointegrated Economic Variables”, Oxford Bulletin of Economics and Statistics, (3), 213-28.
  • GRANGER, C.W.J. ve R. JOYEUX (1980), “An Introduction to Long Memory Time Series Models and Fractional Differencing”, Journal of Time Series Analysis, 1, 15-39.
  • HENRY, Marc ve Paolo ZAFFARONI (2002), “The Long Range Dependence Paradigm for Macroeconomics and Finance”, Columbia University Department of Economics Discussion Paper Series, No.0102-19.
  • HOLDEN, K. ve J. THOMPSON (1992), “Cointegration:An Introductory Survey”, British Review of Economic Issues, 14 (33). HOSKING, J.R.M. (1981), “Fractional Differencing”, Biometrika, 68, 165-76.
  • INDER, Brett (1993), “Estimating Long-Run Relationships in Economics, AComparison of Different Approaches”, Journal of Econometrics, 57, 68.
  • LEBO, M. J., WALKER, R.W. ve H. D. CLARKE (2000), “You Must Remember This: Dealing With Long Memory in Political Analyses”, Electoral Studies, 19, 31-48.
  • MADDALA, G.S., In-Moo KIM (1998), Unit Roots, Cointegration and Structural Change, Cambridge University Press, UK.
  • ÖZDEMİR, Zeynel Abidin (2003), “Satın Alma Gücü Paritesinin Kesirli Eşbütünleşme Analizi: Türkiye Uygulaması”, GÜ İİBF VI. Ulusal Ekonometri ve İstatistik Sempozyumu e-kataloğu.
  • ÖZDEMİR, Zeynel Abidin (2004), “Mean Reversion in Real Exchange Rate: Empirical Evidence From Turkey, 1980-1999”, ODTÜ Gelişme Dergisi, 31(2), 243-265
  • PHILLIPS, Peter C.B. ve Bruce E. HANSEN (1990) “Statistical Inference in Instrumental Variables Regression with I(1) Processes”, Review of Economic Studies, 57, 99-125.
  • RESENDE, M. ve Nilson TEIXERIA (2000), “Permanent Structural Changes in the Brazilian Economy and Long Memory: A Stock Market Perspective”, (20.Şubat.2005), 1-17.
  • SAIKKONEN, Pentti (1991) “Asymptotically Efficient Estimation of Cointegraion Regressions”, Econometric Theory, 7, 1-21. SAVAŞ, Vural (1982), İktisat Politikası, AR Yayın-Dağıtım, İstanbul.
  • SEPHTON, P.S. (2002), “Fractional Cointagration: Monte Carlo Estimates of Critical Values, With Application”, Applied Financial Economics, 12, 35.
  • SIMS, C. (1980), “Comparison of Interwar and Postwar Cycles: Monetarism Reconsidered, http://papers.nber.org/papers/w0430.v5.pdf
  • SMALLWOOD, A.D. ve S.C. NORRBIN (2003), “Long Memory Processes, Cointegration Bias, and Exchange Rate Dynamics”, http://faculty- staff.ou.edu/S/Aaron.Smallwood-1/cointBias.pdf, 21.Ocak.2005
  • THOMAS, R.L. (1993), Introductory Econometrics: Theory and Applications, Longman Economic Series, Second Edition, UK.
  • TURGUTLU, Evrim (2004), “Fisher Hipotezinin Tutarlılığının Testi: Parçalı Durağanlık ve Parçalı Koentegrasyon Analizi”, DEÜ İİBF Dergisi, (2), 55-74.
  • UTKULU, Utku (2000), “Türkiye’de Dış Açıkların Belirleyicileri: Uzun Dönem Yaklaşımı Çerçevesinde Karşılaştırmalı ve Uygulamalı Bir İnceleme”, Yayınlanmamış Doçentlik Tezi. UYGUR, Ercan (2001), Ekonometri, Yöntem ve Uygulama, İmaj Yayıncılık, Ankara.