Cilt 10 Sayı 2 (2022): Business & Management Studies: An International Journal
Makaleler

Türkiye Forex piyasalarının kaotik dinamikleri

Ata ÖZKAYA
Doç. Dr., Galatasaray Üniversitesi, İstanbul, Türkiye

Yayınlanmış 2022-06-25

Anahtar Kelimeler

  • Kaos, Lyapunov Katsayısı, Verimli Piyasalar Hipotezi, Sepet Kur, Türk Lirası
  • Chaos, Lyapunov Exponent, Efficient Market Hypothesis, Exchange Rate, Turkish Lira

Nasıl Atıf Yapılır

ÖZKAYA, A. (2022). Türkiye Forex piyasalarının kaotik dinamikleri. Business & Management Studies: An International Journal, 10(2), 787–795. https://doi.org/10.15295/bmij.v10i2.2068

Özet

Finansal sistemler, özellikle de kur piyasaları kompleks sistemlerdir. Bu çalışmamızda Türkiye kur piyasalarının kaotik dinamik sergileyip sergilemediğini araştırıyoruz. Bunun için, Euro ve ABD Doları’nı eşit ağırlıklı alarak meydana getirdiğimiz kur sepetini inceliyoruz. Bu kur sepeti bir finansal zaman serisi teşkil eder, bu seriyi 2 Mayıs 2018 tarihinden 23 Mayıs 2022 tarihine kadar günlük gözlemlerle oluşturduk ve bu serinin Lyapunov katsayılarını hesapladık. Araştırmamıza konu olan zaman dilimi, Türkiye’de alışılmışın dışında, alternatif ekonomi politikalarının uygulandığı bir dönemdir. Faz-uzayı yapılandırması metodunu kullandık para politikası uygulamalarının sonucu olarak ortaya çıkan çoklu-dengeleri araştırdık. Çalışmamız göstermektedir ki, kur piyasaları kaotik bir davranış sergilemektedir, sepet kur serisi kaotiktir ve pozitif Lyapunov katsayısı hesaplanmıştır. Piyasalarda karmaşıklığın artışı kurlarda geri beslemeli volatilite artışına sebep olabilir ve süregen volatilite artışları politika yapıcılar açısından sorun teşkil eder. Eğer kaotik davranışın nedenleri kısa-dönemde bulunmaz ve çoklu-dengeleri ortadan kaldıracak politikalar, sözlü yönlendirmeler ortaya konmazsa, beklentiler bozulur. Bulgularımızın Merkez bankası müdahaleleri, portföy ve risk yönetimi açısından önemli sonuçları vardır.

İndirmeler

İndirme verileri henüz mevcut değil.

Referanslar

  1. Abarbanel, H.D.I. (1995), Analysis of observed chaotic data, Springer.
  2. Abhyankar, A., Copeland,L.S., and Wong,W. (1997),.Uncovering non-linear structure in real time stock market indexes: The S&P 500, the DAX, the Nikkei 225, and the FTSE-100. Journal of Business & Economic Statistics, 15(1), 1-14.
  3. Badshah, I.U., Frijns,B., and Tourani-Rad,A. (2013).Contemporaneous Spill-Over Among Equity, Gold, and Exchange Rate Implied Volatility Indices. Journal of Future Markets, 33: 555-572. https://doi.org/10.1002/fut.21600
  4. Bandi, F, and Reno,R. (2016).Price and volatility co-jumps. Journal of Financial Economics, 119, 107–146.
  5. Brock, W.A., Lakonishok,J., and LeBaron,B. (1992).Simple technical trading rules and the stochastic properties of stock returns. Journal of Finance, 47, 1731–1764.
  6. Calvo, G. A. (1988). Servicing the public debt: The role of expectations. American Economic Review, American Economic Association, 78(4),647-661.
  7. Calvo,G. and Reinhart,C. (2002).Fear of floating. Quarterly Journal of Economics, 117, 379-408.
  8. Das, A., and Das, P. (2007). Chaotic analysis of the foreign exchange rates. Applied Mathematics and Computation, 185, 388–396.
  9. Eckmann, J.P.S., Kamphorst,S.O., Ruelle,D., and Scheinkman,J.A. (1988). Lyapunov Exponents for Stock Returns”, in The Economy as an Evolving Complex System, eds. P.W. Anderson, K.J.Arrow, and D. Pines, New York; Addison-Wesley, 301-304
  10. Edgar, E. P. (1991). A Chaotic Attractor for the S&P 500.Financial Analysts Journal, 47(2), 55-62.
  11. Ehrmann, M., Fratscher,M., and Rigobon,R. (2011).Stocks, bonds, money markets and exchange rates: Measuring international financial transmission. Journal of Applied Econometrics, 26, 948–974.
  12. Eldridge, R.M., and Coleman, M.P. (1993).The British FTSE-100 Index: Chaotically Deterministic or Random?, working paper, Fairfield University, School of Business
  13. Fama, E. F. (1970). Efficient Capital Markets: A Review of Theory and Empirical Work. The Journal of Finance, 25(2), 383–417. https://doi.org/10.2307/2325486
  14. Gencay, R., and Dechert,W.D. (1992).Algorithm for the n Lyapunov exponents of an n-dimensional unknown dynamical system. Physica D, 59,142-157.
  15. Gencay, R. (1998). The predictability of security returns with simple technical trading rules.Journal of Empirical Finance,5, 347–359
  16. Grassberger, P., and Procaccia,I. (1983).Estimation of the Kolmogorov entropy from a chaotic signal. Physics Review A, 29:2591-3.
  17. Hagtvedt, R. (2009). Stock return dynamics and the CAPM anomalies.Applied Economics Letters, 16(16),1593-1596.
  18. Hegger, R., Kantz,H., and Schreiber,T. (1999).Practical implementation of non-linear time series methods: The TISEAN package. Chaos, 9, 413.
  19. Hsieh,D.A.(1993). Implications of Nonlinear Dynamics for Financial Risk Management. The Journal of Financial and Quantitative Analysis, 28 (1), 41–64 https://doi.org/10.2307/2331150.
  20. Jegadeesh, N. (1990). Evidence of predictable behaviour of security returns. Journal of Finance, 45,881–898.
  21. Kantz, H. (1994). A robust method to estimate the maximal Lyapunov exponent of a time series.Physics Letters A, 185, 77-87.
  22. Kodres, L.E., and Papell., D.H. (1991). Nonlinear Dynamics in the Foreign Exchange Futures Market, working paper, University of Michigan, School of Business and Administration.
  23. Lehmann, B.N. (1990). Fads, martingales and market efficiency. Quarterly Journal of Economics, 105, 1–28.
  24. Malkiel, B. G. (2003). The Efficient Market Hypothesis and Its Critics. Journal of Economic Perspectives, 17 (1): 59-82.
  25. Mishra,R.K., Sehgal,S., Bhanumurthy,N.R. (2011). A search for long-range dependence and chaotic structure in Indian stock market.Review of Financial Economics,20,2,96-104,
  26. Obstfeld, M., Shambaugh,J.C., and Taylor,A.M. (2005). The trilemma in history: tradeoffs among exchange rates, monetary policies, and capital mobility. The Review of Economics and Statistics, 87,423-438
  27. Oduncu, A., Akcelik,Y., Ermisoglu,E. (2013).Reserve Options Mechanism and FX Volatility.Working Papers 1303, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
  28. Ozkaya, A. (2015). A model of active trading by using the properties of chaos. Digital Signal Processing, (39),15-21,
  29. Panas, E. & Vassilia, N.(2000). Are oil markets chaotic? A non-linear dynamic analysis. Energy Economics,22(5), 549-568.
  30. Pesaran, M.H. (2010). Predictability of asset returns and the efficient market hypothesis. Cesifo working papers No.3116.
  31. Peters,E.E. (1991). A chaotic attractor for the S&P 500. Financial Analysis Journal, 47(2), 55–62.
  32. Quang, T.V. (2005). The Fractal Market Analysis nad Its Application on Czech Conditions. Acta Oeconomica Pragensia, 101-111.
  33. Scheinkman, J.A., and LeBaron, B. (1989). Nonlinear Dynamics and Stock Returns. Journal of Business, 62, 311-337.
  34. Serletis,A., and Dormaar, P. (1996). Testing for deterministic non-linear dependence in the australian dollar-US exchange rate series. Applied Economics Letters, 3(4), 267-269.
  35. Rigobon, R. and Sack,B. (2003). Spillovers across U.S. financial markets. NBER Working paper, Vol. 9640, Cambridge, MA.
  36. Takens, F. (1981). Detecting Strange Attractors in Turbulence, in Dynamical Systems and Turbulence. Lecture Notes in Mathematics, 898, Berlin: Springer-Verlag, 366-381.
  37. Tiwari,A.K. and Gupta,R.R. (2019).Chaos in G7 stock markets using over one century of data: A note. Research in International Business and Finance,47,304-310,
  38. Todorov, V. and Tauchen,G. (2011). Volatility jumps. Journal of Business and Economics Statistics, 29, 356–371.
  39. Vaidyanathan, R. and Krehbiel,T. (1992) .Does the S&P 500 Futures Mispricing Series Exhibit Nonlinear Dynamics Dependence Across Time? Journal of the Future Market, 12, 659-677.
  40. Vassilicos, J.C., Demos, A., and Tata, F. (1992), No Evidence of Chaos but Some Evidence of Multifractals in the Foreign Exchange and the Stock Markets, Discussion Paper 143, Financial Markets Group Discussion Paper Series, London School of Economics.
  41. Vasilios P., Rangan,G., Gil-Alana,L.A., and Wohar,M.E. (2019).Are BRICS exchange rates chaotic? Applied Economics Letters, 26:13, 1104-1110, DOI: 10.1080/13504851.2018.1537473
  42. Wolf, A., Swift,J.B., Swinney,H.L., and Vastano,J.A. (1985).Determining Lyapunov Exponents from a time series. Physica D,16(3)