Research Article

Exploring market efficiency in cryptocurrencies: Fourier analysis of non-linear dynamics and breaks

Volume: 54 Number: 3 December 31, 2025

Exploring market efficiency in cryptocurrencies: Fourier analysis of non-linear dynamics and breaks

Abstract

This study evaluates cryptocurrency market efficiency through an analysis of 25 leading cryptocurrencies traded between 2014 and 2024. This research employs the Augmented Dickey–Fuller (ADF) test and its Fourier-augmented variant (Fourier ADF, FADF), the Kapetanios–Shin–Snell (KSS) test, and its Fourieraugmented counterpart (Fourier KSS, FKSS) as advanced econometric methods to detect unit roots and to assess whether these assets conform to the weak-form Efficient Market Hypothesis (EMH). The research obtained data from Yahoo Finance through web scraping to perform a detailed analysis of price movements, market behavior, and structural changes. Some cryptocurrencies show efficient market behavior, whereas numerous others demonstrate non-linear patterns, structural breaks, and price predictability, indicating market inefficiencies. The findings of this study have major implications for investors and policymakers because they demonstrate the need to analyze cyclical patterns and nonlinear market behaviors in cryptocurrency markets. This research extends current knowledge by using Fourier-based tests to detect smooth breaks, which provides a more detailed understanding of the efficiency of the cryptocurrency market.

Keywords

References

  1. Akbar, M., Ullah, I., and Rehman, N. (2024). Adaptive market hypothesis: a comparison of Islamic and conventional stock indices. International Review of Economics and Finance, 89, 460-477. https://doi.org/10.1016/j.iref.2023.06.020 google scholar
  2. Ananzeh, I. N. and AL-Smadi, M. O. (2023). Inspecting the efficiency of cryptocurrency markets: new evidence. Asian Economic and Financial Review, 14(1), 29-42. https://doi.org/10.55493/5002.v14i1.4941 google scholar
  3. Bahmani-Oskooee, M., Chang, T., Niroomand, F., and Ranjbar, O. (2020). Fourier nonLinear quantile unit root test and PPP in Africa. Bulletin of Economic Research, 72(4), 451-481. https://doi.org/10.1111/boer.12230 google scholar
  4. Bouteska, A. and Regaieg, B. (2020). Loss aversion, overconfidence of investors and their impact on market performance evidence from the US stock markets. Journal of Economics, Finance and Administrative Science, 25(50), 451-478. https://doi.org/10.1108/jefas-07-2017-0081 google scholar
  5. Broock, W. A., Scheinkman, J. A., Dechert, W. D. and LeBaron, B. (1996). A test for independence based on the correLation dimension. Econometric Reviews, 15(3), 197-235. google scholar
  6. Canarella, G., Gupta, R., Miller, S. M., and Omay, T. (2019). Does reaL U.K. GDP have a unit root? evidence from a multi-century perspective. Applied Economics, 52(10), 1070-1087. https://doi.org/10.1080/00036846.2019.1655138 google scholar
  7. Choi, I. (1992). Effects of data aggregation on the power of tests for a unit root: a simuLation studY. Economics Letters, 40(4), 397-401. google scholar
  8. ChristopouLos, D. K. and Leon-Ledesma, M. A. (2010). Smooth breaks and non-Linear mean reversion: Post-Bretton Woods reaL exchange rates. Journal of International Money and Finance, 29(6), 1076-1093. google scholar

Details

Primary Language

English

Subjects

Financial Econometrics

Journal Section

Research Article

Publication Date

December 31, 2025

Submission Date

March 27, 2025

Acceptance Date

September 3, 2025

Published in Issue

Year 2025 Volume: 54 Number: 3

APA
Öztürk, C. (2025). Exploring market efficiency in cryptocurrencies: Fourier analysis of non-linear dynamics and breaks. Istanbul Business Research, 54(3), 374-389. https://doi.org/10.26650/ibr.2025.54.1666799
AMA
1.Öztürk C. Exploring market efficiency in cryptocurrencies: Fourier analysis of non-linear dynamics and breaks. IBR. 2025;54(3):374-389. doi:10.26650/ibr.2025.54.1666799
Chicago
Öztürk, Cemal. 2025. “Exploring Market Efficiency in Cryptocurrencies: Fourier Analysis of Non-Linear Dynamics and Breaks”. Istanbul Business Research 54 (3): 374-89. https://doi.org/10.26650/ibr.2025.54.1666799.
EndNote
Öztürk C (December 1, 2025) Exploring market efficiency in cryptocurrencies: Fourier analysis of non-linear dynamics and breaks. Istanbul Business Research 54 3 374–389.
IEEE
[1]C. Öztürk, “Exploring market efficiency in cryptocurrencies: Fourier analysis of non-linear dynamics and breaks”, IBR, vol. 54, no. 3, pp. 374–389, Dec. 2025, doi: 10.26650/ibr.2025.54.1666799.
ISNAD
Öztürk, Cemal. “Exploring Market Efficiency in Cryptocurrencies: Fourier Analysis of Non-Linear Dynamics and Breaks”. Istanbul Business Research 54/3 (December 1, 2025): 374-389. https://doi.org/10.26650/ibr.2025.54.1666799.
JAMA
1.Öztürk C. Exploring market efficiency in cryptocurrencies: Fourier analysis of non-linear dynamics and breaks. IBR. 2025;54:374–389.
MLA
Öztürk, Cemal. “Exploring Market Efficiency in Cryptocurrencies: Fourier Analysis of Non-Linear Dynamics and Breaks”. Istanbul Business Research, vol. 54, no. 3, Dec. 2025, pp. 374-89, doi:10.26650/ibr.2025.54.1666799.
Vancouver
1.Cemal Öztürk. Exploring market efficiency in cryptocurrencies: Fourier analysis of non-linear dynamics and breaks. IBR. 2025 Dec. 1;54(3):374-89. doi:10.26650/ibr.2025.54.1666799

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