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Konjonktürel dalgalanmaların fibonacci altın oran yaklaşımıyla ampirik analizi: Türkiye örneği

Cilt: 23 Sayı: 2026 15 Şubat 2026
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An empirical analysis of conjunctural fluctuations using the fibonacci golden ratio: The case of the Turkish economy

Abstract

This study investigates the frequency-based structure of Turkey's business cycles using quarterly real GDP growth data from 1961 to 2024 and the Hodrick-Prescott (HP) filter. This study tested the hypothesis that successive cycle lengths converge toward the golden ratio (1.618) or its inverse (0.618). Methodologically, the series was normalized using a GARCH(1,1) model, dominant frequencies were identified via Fourier transformation, and cycle lengths were classified using a Gaussian mixture model before being projected via harmonic regression. Validation using the Harding and Pagan (2002) Concordance Index and phase synchronization analysis confirmed a high degree of alignment between the model and real growth data. The results indicate that short- and medium-term cycles cluster around the inverse of the golden ratio (0.618), suggesting that Turkish economic fluctuations are not random but are governed by regular structural rhythms that are aligned with historical turning points.

Keywords

Conjunctural Fluctuations , Golden Ratio , Fibonacci Sequence , Fractal Structures , Turkish Economy

Kaynakça

  1. Akyüz, Y., & Boratav, K. (2003). The Making of the Turkish Financial Crisis. World Development, 31(9), 1549–1566. https://doi.org/10.10-16/S0305-750X(03)00108-6
  2. Alpago, H. (2022). Altın oran teorisinin ekonomik teoriler açısından analizi. Iğdır Üniversitesi Sosyal Bilimler Dergisi, (31), 1–20. https://doi.org-/10.54600/igdirsosbilder.1131574
  3. Armaoğlu, F. (2010). 20. Yüzyıl Siyasi Tarihi (1914–1995). İstanbul: Alkım Yayınevi.
  4. Arrighi, G. (1994). The long twentieth century: Money, power, and the origins of our times. London: Verso.
  5. Baxter, M., & King, R. G. (1999). Measuring business cycles: approximate band-pass filters for economic time series. Review of Economics and Statistics, 81(4), 575–593. https://doi.org/10.-1162/003465399558454
  6. Bodger, P. S., Moutter, S. P. , & Gough, P. T. (1986). Spectral estimation and time-series extrapolation of prime indicators of society. Technological Forecasting and Social Change, 29(4), 367–386. https://doi.org/10.1016/0040-1625(86)-90023-5
  7. Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307–327. https://doi.-org/10.1016/0304-4076(86)90063-1
  8. Boratav, K. (2019). Türkiye İktisat Tarihi: 1908–2009. İmge Kitabevi.
  9. Bloomfield, P. (2000). Fourier analysis of time series: An introduction (2nd ed.). Wiley. https://iujfk.wordpress.com/wp-content/uploads-/2013/04/bloomfield-2000-fourier-analysis- of-time-series-an-introduction-2ed.pdf
  10. Burns A. F., & Mitchell W. ( C. (1946). Measuring the business cycles. National Bureau of Economic Research (NBER). Canova, F. (1998). Detrending and business cycle facts. Journal of Monetary Economics, 41(3), 475–512. https://doi.org/10.1016/S0304-3932(98)-00006-3

Kaynak Göster

APA
Volkan Kocakaya, P., & Eryüzlü, H. (2026). An empirical analysis of conjunctural fluctuations using the fibonacci golden ratio: The case of the Turkish economy. OPUS Journal of Society Research, 23(2026), 1-15. https://doi.org/10.26466/opusjsr.1855303