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H.H. Yildirim, A. Akusta / IJOCTA, Vol.15, No.1, pp.183-201 (2025)
            In this study, companies included in the BIST100   [6] Akin, I., & Akin, M. (2024). Behavioral finance
            index were selected as the sample. Future re-         impacts on US stock market volatility: An analy-
            search could consider different indices or mar-       sis of market anomalies. Behavioural Public Pol-
            kets to compare volatility determinants across        icy, 1-25. https://doi.org/10.1017/bpp.2024
            various contexts. Additionally, using quarterly       .13
                                                               [7] Gahlot, P., Sachdeva, K., Agnihotri, S., & Giri,
            data might provide more granular insights into
                                                                  J. N. (2024). Influence of behavioral biases on
            volatility patterns. Different independent vari-
                                                                  investor decision-making in delhi-ncr. I¸cinde R.
            ables, including other financial ratios or macroe-
                                                                  Sharma & K. Mehta (Ed.), Deep Learning Tools
            conomic variables, could also be incorporated to
                                                                  for Predicting Stock Market Movements (1. bs, ss.
            enhance the understanding of factors influencing      363-389). Wiley. https://doi.org/10.1002/97
            stock price volatility.                               81394214334.ch15
                                                               [8] Takahashi, H. (2013). Analyzing the influence
            Acknowledgments                                       of Value at Risk on financial markets through
                                                                  agent-based modeling. International Journal of
            None.                                                 Knowledge-based and Intelligent Engineering Sys-
                                                                  tems, 17(4), 257-266. https://doi.org/10.323
            Funding                                               3/KES-130276
                                                               [9] Zheng, Z., Qiao, Z., Takaishi, T., Stanley, H.
            None.                                                 E., & Li, B. (2014). Realized volatility and ab-
                                                                  solute return volatility: A comparison indicating
                                                                  market risk. PLOS ONE, 9(7), e102940. https:
            Conflict of interest
                                                                  //doi.org/10.1371/journal.pone.0102940
                                                              [10] Huang, S., Liu, N., & Wang, Z. (2023). Empiri-
            The author declares no conflict of interest.
                                                                  cal analysis of SSE 50 index volatility based on
                                                                  GARCH model. Fluctuation and Noise Letters,
            Author contributions                                  24(4), 2440010. https://doi.org/10.1142/S0
                                                                  219477524400108
            Conceptualization: All authors
                                                              [11] Su, Z., Fang, T., & Yin, L. (2018). Does NVIX
            Formal analysis: All authors                          matter for market volatility? Evidence from Asia-
            Methodology: All authors                              Pacific markets. Physica A: Statistical Mechan-
            Writing – original draft: All authors                 ics and Its Applications, 492, 506–516. https:
            Writing – review & editing: All authors               //doi.org/10.1016/j.physa.2017.10.025.
                                                              [12] Gabriel, V. (2015). Sensitivity, persistence and
            Availability of data                                  asymmetric effects in international stock market
                                                                  volatility during the global financial crisis. Revista
            All the data is included in the paper.                de M´etodos Cuantitativos para la Econom´ıa y la
                                                                  Empresa, 16, 42–65.
                                                              [13] Bhansali, V., & Harris, L. (2018). Everybody’s
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