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Unveiling Complex Market Dynamics: A Wavelet Coherence Study of Turkish Stock Price and Volume Interactions | ||
| Journal of Mathematics and Modeling in Finance | ||
| دوره 6، شماره 1، اردیبهشت 2026، صفحه 143-158 اصل مقاله (368.63 K) | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.22054/jmmf.2025.88768.1223 | ||
| نویسنده | ||
| Sureyya Temelli* | ||
| Department of Econometrics, Faculty of Economics & Administrative Sciences, Trakya University, Edirne, Turkiye | ||
| چکیده | ||
| This study investigates the dynamic relationship between stock prices and trading volumes in Borsa İstanbul using the wavelet coherence approach. Employing daily data from major sectoral indices, the analysis captures both time- and frequency-domain interactions between price and volume movements. The methodology enables detection of multi-scale dependencies and shifting lead–lag dynamics across different market phases. The results reveal significant coherence during high-volatility periods, suggesting strong information transmission between price and trading activity. Moreover, the findings indicate that short-term fluctuations are primarily driven by speculative behavior, while long-term linkages reflect fundamental market adjustments. These insights contribute to a deeper understanding of market efficiency and investor behavior in emerging markets. The study provides empirical evidence useful for policymakers, traders, and researchers seeking to interpret complex market structures within a time–frequency framework. | ||
| کلیدواژهها | ||
| Wavelet coherence analysis؛ Turkish stock market؛ time-frequency analysis؛ trading volume؛ price-volume nexus | ||
| مراجع | ||
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[1] P. L. Adhikari, The dynamic relationship between stock returns and trading volumes in Nepalese stock market, Management Dynamics 23 (2020), no. 2, 161–172. [2] M. Al-Shboul and A. Maghyereh, Did real economic uncertainty drive risk connectedness in the oil–stock nexus during the COVID-19 outbreak?, Journal of Economic Structures 12 (2023), no. 11, 1–23. [3] M. Balcilar and M. Kayacan, A wavelet analysis of the stock price-volume relationship, In First International Manas University Conference in Economics, Kyrgyz-Turkish Manas University, Bishkek, Kyrgyzstan, 2004. [4] W. A. Brock, W. D. Dechert, and J. A. Scheinkman, A test for independence based on the correlation dimension, Working paper, Department of Economics, University of Wisconsin– Madison, 1987. [5] M. S. ¸Celik, Do high-frequency trading affect bubble formation in stock markets?, Uluslararası Y¨onetim ktisat ve ¸sletme Dergisi 20 (2024), no. 3, 675–686. [6] I. Daubechies, Ten lectures on wavelets, SIAM, 1992. https://doi.org/10.1137/1.9781611970104 [7] T. K. Dal’Maso Peron and F. A. Rodrigues, Collective behavior in financial markets, Europhysics Letters 96 (2011), no. 4, 1–5. [8] D. A. Dickey and W. A. Fuller, Distribution of the estimators for autoregressive time series with a unit root, Journal of the American Statistical Association 74 (1979), no. 366a, 427–431. [9] C. Ekinci and O. Ersan, High-frequency trading and market quality: Case of a slightly exposed market, Working paper, 2020. [10] B. Elmas and M. Yıldırım, Kriz d¨onemlerinde hisse senedi fiyatı ile i¸slem hacmi ili¸skisi: MKB’de i¸slem g¨oren bankacılık sekt¨oru hisseleri ¨ uzerine bir uygulama ¨ , Ataturk ¨ Universitesi ¨ BF Dergisi 24 (2010), no. 2. [11] A. R. Gallant, P. E. Rossi, and G. Tauchen, Stock prices and volume, Review of Financial Studies 5 (1992), no. 2, 199–242. [12] R. Gen ¸Cay, F. Sel ¸Cuk, and B. J. Whitcher, An introduction to wavelets and other filtering methods in finance and economics, Academic Press, 2002. [13] R. Gen ¸Cay, N. Gradojevic, F. Sel ¸Cuk, and B. Whitcher, Asymmetry of information flow between volatilities across time scales, Quantitative Finance 10 (2010), no. 8, 895–915. [14] K. Kayalıdere and H. Akta¸s, MKB’de fiyat-hacim ili¸skisi – Asimetrik etkile¸sim, Y¨onetim ve Ekonomi 16 (2009), no. 2, 49–62. [15] W. Mensi, S. Hammoudeh, and S. H. Kang, Dynamic linkages between developed and BRICS stock markets: Portfolio risk analysis, Finance Research Letters 21 (2017), 26–33. [16] O. Orhan and Y. lta¸s, Borsa stanbul’da fiyat-i¸slem hacmi ili¸skisi: Frekans alanı nedensellik analizi, Kır¸sehir Ahi Evran Universitesi BF Dergisi ¨ 8 (2024), no. 1, 29–41. [17] D. B. Percival and A. T. Walden, Wavelet methods for time series analysis, Cambridge University Press, 2000. https://doi.org/10.1017/CBO9780511841040 [18] N. Tripathy, The relation between price changes and trading volume: A study in Indian stock market, Interdisciplinary Journal of Research in Business 1 (2011), no. 7, 81–95. [19] G. Umutlu, ¸slem hacmi ve fiyat de ‘gi¸simleri arasındaki nedensellik ve dinamik ili¸skiler: MKB’de bir ampirik inceleme, Gazi Universitesi BF Dergisi ¨ 10 (2008), no. 1, 231–246. [20] U. Uyar and S. G. Kangallı Uyar, The impact of COVID-19 pandemic on systematic risk of S&P 500 sectors: A wavelet power spectrum analysis, Ege Academic Review 22 (2022), no. 1, 59–74. https://doi.org/10.21121/eab.1064535 [21] L. Vacha and J. Barunik, Co-movement of energy commodities revisited: Evidence from wavelet coherence analysis, Energy Economics 34 (2012), no. 1, 241–247. [22] V. Yılancı and ¸S. Bozoklu, Price and trade volume relationship in Turkish stock market: A time-varying asymmetric causality analysis, Ege Academic Review 14 (2014), no. 2, 211–220. [23] T. Yılmaz and C. Yerdelen Kaygın, Turk ve Alman borsalarında fiyat-hacim ili¸skisini incele- ¨ meye y¨onelik kar¸sıla¸stırmalı bir analiz, Turkish Studies Economics, Finance and Politics 13 (2018), no. 22, 607–618. [24] Y. D. Zor, Y. D. Bozkurt, and ¨o. G. ¨oksuz, ¨ Asimetrik bilgi duzeyinin fiyat-hacim ili¸skisi ¨ uzerindeki etkisi: Borsa stanbul ¨ ¨orne ‘gi, Anadolu Universitesi Sosyal Bilimler Dergisi ¨ 16 (2016), no. 1, 119–135. | ||
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