IDEAS home Printed from https://ideas.repec.org/a/spr/fininn/v11y2025i1d10.1186_s40854-024-00717-0.html
   My bibliography  Save this article

Trading behavior-stock market volatility nexus among institutional and individual investors

Author

Listed:
  • Alireza Saranj

    (University of Tehran)

  • Mehdi Zolfaghari

    (Tarbiat Modares University)

Abstract

In contrast to previous studies that investigated the impact of the investment groups’ trading volume on the volatility of the stock index, this research, inspired by behavioral finance literature, aims to evaluate the dynamic bi-directional relationship between the trading behavior of investor groups (institutional and noninstitutional) and stock index fluctuations in different positions (long and short) and market conditions (the pre-COVID-19 and COVID-19 periods) in the Turkish stock market. The results indicate a bidirectional relationship between the stock index return (SIR) and the trading behavior of online individual traders (OIT) and equity mutual and pension funds (EMPF). However, this relationship varies depending on the trading positions of different investor groups. Also, there is a unidirectional relationship between the SIR and the trading behavior of the diversified equity funds (DEF). During the pandemic period, the role of online traders became more prominent, coinciding with their increased participation in the market, significantly affecting and being affected by stock index fluctuations. We also evaluated some behavioral biases (including overconfidence and asymmetric reaction) and the trading strategy of investor groups (with their performance). Results suggest that the online individual traders were less (more) overconfident than other groups in the prepandemic (pandemic) period. Additionally, all groups had an asymmetric reaction to the positive and negative SIR shocks. This research, contributing to the field of financial innovation and aligning with behavioral finance principles, reveals a fascinating finding: individual investors react to stock index fluctuations, largely driven by institutional investors, despite lacking access to new fundamental information about their portfolio stocks. These findings have significant implications for investors and market regulators. Recognizing and addressing behavioral biases is crucial for individual investors as they strive to make informed and successful financial decisions. It is concluded that the surge in retail investment is a phenomenon; hence, more effort is required for their investment stability in the Turkish stock market.

Suggested Citation

  • Alireza Saranj & Mehdi Zolfaghari, 2025. "Trading behavior-stock market volatility nexus among institutional and individual investors," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-50, December.
    • Handle: RePEc:spr:fininn:v:11:y:2025:i:1:d:10.1186_s40854-024-00717-0
    DOI: 10.1186/s40854-024-00717-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1186/s40854-024-00717-0
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1186/s40854-024-00717-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Hamilton, James D., 1996. "This is what happened to the oil price-macroeconomy relationship," Journal of Monetary Economics, Elsevier, vol. 38(2), pages 215-220, October.
    2. Gervais, Simon & Odean, Terrance, 2001. "Learning to be Overconfident," The Review of Financial Studies, Society for Financial Studies, vol. 14(1), pages 1-27.
    3. Imran Yousaf & Shoaib Ali, 2020. "Discovering interlinkages between major cryptocurrencies using high-frequency data: new evidence from COVID-19 pandemic," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-18, December.
    4. Terrance Odean., 1996. "Volume, Volatility, Price and Profit When All Trader Are Above Average," Research Program in Finance Working Papers RPF-266, University of California at Berkeley.
    5. Shleifer, Andrei & Summers, Lawrence H, 1990. "The Noise Trader Approach to Finance," Journal of Economic Perspectives, American Economic Association, vol. 4(2), pages 19-33, Spring.
    6. Josue Cox & Daniel L. Greenwald & Sydney C. Ludvigson, 2020. "What Explains the COVID-19 Stock Market?," NBER Working Papers 27784, National Bureau of Economic Research, Inc.
    7. van Rooij, Maarten & Lusardi, Annamaria & Alessie, Rob, 2011. "Financial literacy and stock market participation," Journal of Financial Economics, Elsevier, vol. 101(2), pages 449-472, August.
    8. Ron Kaniel & Gideon Saar & Sheridan Titman, 2008. "Individual Investor Trading and Stock Returns," Journal of Finance, American Finance Association, vol. 63(1), pages 273-310, February.
    9. Ramzi Boussaidi, 2022. "Implications of the overconfidence bias in presence of private information: Evidence from MENA stock markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 3660-3678, July.
    10. Serkan Atmaca & Hacı Ahmet Karadaş, 2020. "Decision making on financial investment in Turkey by using ARDL long-term coefficients and AHP," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-22, December.
    11. Chuang, Wen-I & Lee, Bong-Soo, 2006. "An empirical evaluation of the overconfidence hypothesis," Journal of Banking & Finance, Elsevier, vol. 30(9), pages 2489-2515, September.
    12. Buket Alkan & Serkan Cicek, 2020. "Spillover effect in financial markets in Turkey," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 20(2), pages 53-64.
    13. Philip Brown & Nick Chappel & Ray Da Silva Rosa & Terry Walter, 2006. "The Reach of the Disposition Effect: Large Sample Evidence Across Investor Classes," International Review of Finance, International Review of Finance Ltd., vol. 6(1‐2), pages 43-78, March.
    14. Richard W. Sias, 2004. "Institutional Herding," The Review of Financial Studies, Society for Financial Studies, vol. 17(1), pages 165-206.
    15. Corbet, Shaen & Hou, Yang & Hu, Yang & Lucey, Brian & Oxley, Les, 2021. "Aye Corona! The contagion effects of being named Corona during the COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 38(C).
    16. Emre Cevik & Buket Kirci Altinkeski & Emrah Ismail Cevik & Sel Dibooglu, 2022. "Investor sentiments and stock markets during the COVID-19 pandemic," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-34, December.
    17. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. "On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    18. Scott R. Baker & Nicholas Bloom & Steven J. Davis & Kyle J. Kost & Marco C. Sammon & Tasaneeya Viratyosin, 2020. "The Unprecedented Stock Market Impact of COVID-19," NBER Working Papers 26945, National Bureau of Economic Research, Inc.
    19. Adewuyi, Adeolu O. & Awodumi, Olabanji B. & Abodunde, Temitope T., 2019. "Analysing the gold-stock nexus using VARMA-BEKK-AGARCH and Quantile regression models: New evidence from South Africa and Nigeria," Resources Policy, Elsevier, vol. 61(C), pages 348-362.
    20. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    21. Bollerslev, Tim & Engle, Robert F & Wooldridge, Jeffrey M, 1988. "A Capital Asset Pricing Model with Time-Varying Covariances," Journal of Political Economy, University of Chicago Press, vol. 96(1), pages 116-131, February.
    22. Massimiliano Caporin & Michael McAleer, 2010. "Ranking Multivariate GARCH Models by Problem Dimension," CARF F-Series CARF-F-219, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    23. Xavier Gabaix & Parameswaran Gopikrishnan & Vasiliki Plerou & H. Eugene Stanley, 2006. "Institutional Investors and Stock Market Volatility," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(2), pages 461-504.
    24. Verma, Rahul & Verma, Priti, 2007. "Noise trading and stock market volatility," Journal of Multinational Financial Management, Elsevier, vol. 17(3), pages 231-243, July.
    25. Anders Ekholm & Daniel Pasternack, 2008. "Overconfidence and Investor Size," European Financial Management, European Financial Management Association, vol. 14(1), pages 82-98, January.
    26. Bohl, Martin T. & Brzeszczynski, Janusz & Wilfling, Bernd, 2009. "Institutional investors and stock returns volatility: Empirical evidence from a natural experiment," Journal of Financial Stability, Elsevier, vol. 5(2), pages 170-182, June.
    27. Dominik M. Piehlmaier, 2022. "Overconfidence and the adoption of robo-advice: why overconfident investors drive the expansion of automated financial advice," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-24, December.
    28. Chuang, Wen-I & Susmel, Rauli, 2011. "Who is the more overconfident trader? Individual vs. institutional investors," Journal of Banking & Finance, Elsevier, vol. 35(7), pages 1626-1644, July.
    29. Mork, Knut Anton, 1989. "Oil and Macroeconomy When Prices Go Up and Down: An Extension of Hamilton's Results," Journal of Political Economy, University of Chicago Press, vol. 97(3), pages 740-744, June.
    30. Paolo Saona & Pablo San Martín, 2018. "Determinants of firm value in Latin America: an analysis of firm attributes and institutional factors," Review of Managerial Science, Springer, vol. 12(1), pages 65-112, January.
    31. Thomas, Ashok & Spataro, Luca & Mathew, Nanditha, 2014. "Pension funds and stock market volatility: An empirical analysis of OECD countries," Journal of Financial Stability, Elsevier, vol. 11(C), pages 92-103.
    32. Clark, Peter K, 1973. "A Subordinated Stochastic Process Model with Finite Variance for Speculative Prices," Econometrica, Econometric Society, vol. 41(1), pages 135-155, January.
    33. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    34. Liu, Ningyue & Bredin, Don & Cao, Huijuan, 2020. "The investment behavior of Qualified Foreign Institutional Investors in China," Journal of Multinational Financial Management, Elsevier, vol. 54(C).
    35. Onishchenko, Olena & Ülkü, Numan, 2019. "Foreign investor trading behavior has evolved," Journal of Multinational Financial Management, Elsevier, vol. 51(C), pages 98-115.
    36. Zou, Liping & Tang, Tiantian & Li, Xiaoming, 2016. "The stock preferences of domestic versus foreign investors: Evidence from Qualified Foreign Institutional Investors (QFIIs) in China," Journal of Multinational Financial Management, Elsevier, vol. 37, pages 12-28.
    37. Kassouri, Yacouba & Altıntaş, Halil, 2020. "Threshold cointegration, nonlinearity, and frequency domain causality relationship between stock price and Turkish Lira," Research in International Business and Finance, Elsevier, vol. 52(C).
    38. Jarque, Carlos M. & Bera, Anil K., 1980. "Efficient tests for normality, homoscedasticity and serial independence of regression residuals," Economics Letters, Elsevier, vol. 6(3), pages 255-259.
    39. Froot, Kenneth A & Scharftstein, David S & Stein, Jeremy C, 1992. "Herd on the Street: Informational Inefficiencies in a Market with Short-Term Speculation," Journal of Finance, American Finance Association, vol. 47(4), pages 1461-1484, September.
    40. Lai, Hung-Cheng & Wang, Kuan-Min, 2014. "Relationship between the trading behavior of three institutional investors and Taiwan Stock Index futures returns," Economic Modelling, Elsevier, vol. 41(C), pages 156-165.
    41. Tsai, Li-Ju & Shu, Pei-Gi & Chiang, Sue-Jane, 2019. "Foreign investors’ trading behavior and market conditions: Evidence from Taiwan," Journal of Multinational Financial Management, Elsevier, vol. 52.
    42. Cheuathonghua, Massaporn & Padungsaksawasdi, Chaiyuth, 2024. "The volume-implied volatility relation in financial markets: A behavioral explanation," The North American Journal of Economics and Finance, Elsevier, vol. 71(C).
    43. Athanasopoulos, George & Vahid, Farshid, 2008. "VARMA versus VAR for Macroeconomic Forecasting," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 237-252, April.
    44. Pablo Calafiore & Gökçe Soydemir & Rahul Verma, 2010. "The Impact of Business and Consumer Sentiment on Stock Market Returns: Evidence from Brazil," Chapters, in: Brian Bruce (ed.), Handbook of Behavioral Finance, chapter 18, Edward Elgar Publishing.
    45. Ikizlerli, Deniz & Holmes, Phil & Anderson, Keith, 2019. "The response of different investor types to macroeconomic news," Journal of Multinational Financial Management, Elsevier, vol. 50(C), pages 13-28.
    46. Copeland, Thomas E, 1976. "A Model of Asset Trading under the Assumption of Sequential Information Arrival," Journal of Finance, American Finance Association, vol. 31(4), pages 1149-1168, September.
    47. Scharfstein, David S & Stein, Jeremy C, 1990. "Herd Behavior and Investment," American Economic Review, American Economic Association, vol. 80(3), pages 465-479, June.
    48. Samitas, Aristeidis & Kampouris, Elias & Polyzos, Stathis, 2022. "Covid-19 pandemic and spillover effects in stock markets: A financial network approach," International Review of Financial Analysis, Elsevier, vol. 80(C).
    49. Nazli Toraganli & Cihan Yalcin, 2016. "Exports, Real Exchange Rates and External Exposures: Empirical Evidence from Turkish Manufacturing Firms," Working Papers 1624, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    50. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    51. Imran Yousaf & Shoaib Ali & Syed Zulfiqar Ali Shah, 2018. "Herding behavior in Ramadan and financial crises: the case of the Pakistani stock market," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 4(1), pages 1-14, December.
    52. Utku Uygur & Oktay Tas, 2014. "The impacts of investor sentiment on different economic sectors: Evidence from Istanbul Stock Exchange," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 14(4), pages 236-241, December.
    53. Sayim, Mustafa & Rahman, Hamid, 2015. "An examination of U.S. institutional and individual investor sentiment effect on the Turkish stock market," Global Finance Journal, Elsevier, vol. 26(C), pages 1-17.
    54. Ferreira, Miguel A. & Matos, Pedro & Pereira, João Pedro & Pires, Pedro, 2017. "Do locals know better? A comparison of the performance of local and foreign institutional investors," Journal of Banking & Finance, Elsevier, vol. 82(C), pages 151-164.
    55. Brockman, Paul & He, Xianjie & Sun, Shuwei & Zou, Huan, 2023. "The role of individual investment bankers in IPO pricing: Evidence from investor bidding behavior," Journal of Corporate Finance, Elsevier, vol. 82(C).
    56. Brzeszczyński, Janusz & Gajdka, Jerzy & Kutan, Ali M., 2015. "Investor response to public news, sentiment and institutional trading in emerging markets: A review," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 338-352.
    57. Dragos Stefan Oprea, 2014. "Does Investor Sentiment Matter in Post-Communist East European Stock Markets?," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 4(8), pages 356-366, August.
    58. Shapira, Zur & Venezia, Itzhak, 2001. "Patterns of behavior of professionally managed and independent investors," Journal of Banking & Finance, Elsevier, vol. 25(8), pages 1573-1587, August.
    59. P. Corredor & E. Ferrer & R. Santamaria, 2015. "The Impact of Investor Sentiment on Stock Returns in Emerging Markets: The Case of Central European Markets," Eastern European Economics, Taylor & Francis Journals, vol. 53(4), pages 328-355, July.
    60. Brad M. Barber & Terrance Odean, 2000. "Trading Is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors," Journal of Finance, American Finance Association, vol. 55(2), pages 773-806, April.
    61. Arvid O. I. Hoffmann & Thomas Post & Joost M. E. Pennings, 2015. "How Investor Perceptions Drive Actual Trading and Risk-Taking Behavior," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 16(1), pages 94-103, January.
    62. M. J. Brennan, 1995. "The Individual Investor," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 18(1), pages 59-74, March.
    63. Jose A. Scheinkman & Wei Xiong, 2003. "Overconfidence and Speculative Bubbles," Journal of Political Economy, University of Chicago Press, vol. 111(6), pages 1183-1219, December.
    64. Aristeidis Samitas & Elias Kampouris & Zaghum Umar, 2022. "Financial contagion in real economy: The key role of policy uncertainty," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 1633-1682, April.
    65. Samitas, Aristeidis & Papathanasiou, Spyros & Koutsokostas, Drosos & Kampouris, Elias, 2022. "Volatility spillovers between fine wine and major global markets during COVID-19: A portfolio hedging strategy for investors," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 629-642.
    66. Michael McAleer & Suhejla Hoti & Felix Chan, 2009. "Structure and Asymptotic Theory for Multivariate Asymmetric Conditional Volatility," Econometric Reviews, Taylor & Francis Journals, vol. 28(5), pages 422-440.
    67. Goodell, John W., 2020. "COVID-19 and finance: Agendas for future research," Finance Research Letters, Elsevier, vol. 35(C).
    68. John R. Nofsinger & Richard W. Sias, 1999. "Herding and Feedback Trading by Institutional and Individual Investors," Journal of Finance, American Finance Association, vol. 54(6), pages 2263-2295, December.
    69. Brown, Gregory W. & Cliff, Michael T., 2004. "Investor sentiment and the near-term stock market," Journal of Empirical Finance, Elsevier, vol. 11(1), pages 1-27, January.
    70. Sharif, Arshian & Aloui, Chaker & Yarovaya, Larisa, 2020. "COVID-19 pandemic, oil prices, stock market, geopolitical risk and policy uncertainty nexus in the US economy: Fresh evidence from the wavelet-based approach," International Review of Financial Analysis, Elsevier, vol. 70(C).
    71. Lee, Byung Rhae & Lee, Kiseok & Ratti, Ronald A., 2001. "Monetary policy, oil price shocks, and the Japanese economy," Japan and the World Economy, Elsevier, vol. 13(3), pages 321-349, August.
    72. Yang Gao & Chengjie Zhao & Bianxia Sun & Wandi Zhao, 2022. "Effects of investor sentiment on stock volatility: new evidences from multi-source data in China’s green stock markets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-30, December.
    73. Patrick J. Dennis & Deon Strickland, 2002. "Who Blinks in Volatile Markets, Individuals or Institutions?," Journal of Finance, American Finance Association, vol. 57(5), pages 1923-1949, October.
    74. Ravi Dhar & Ning Zhu, 2006. "Up Close and Personal: Investor Sophistication and the Disposition Effect," Management Science, INFORMS, vol. 52(5), pages 726-740, May.
    75. Ana-Maria Fuertes & Gulnur Muradoglu & Belma Ozturkkal, 2014. "A behavioral analysis of investor diversification," The European Journal of Finance, Taylor & Francis Journals, vol. 20(6), pages 499-523, June.
    76. Terrance Odean, 1999. "Do Investors Trade Too Much?," American Economic Review, American Economic Association, vol. 89(5), pages 1279-1298, December.
    77. repec:bla:jfinan:v:53:y:1998:i:6:p:1887-1934 is not listed on IDEAS
    78. Kiymaz, Halil & Öztürkkal, Belma & Akkemik, K. Ali, 2016. "Behavioral biases of finance professionals: Turkish evidence," Journal of Behavioral and Experimental Finance, Elsevier, vol. 12(C), pages 101-111.
    79. Nezir Kose & Sabit Baimaganbetov, 2015. "The Asymmetric Impact of Oil Price Shocks on Kazakhstan Macroeconomic Dynamics: A Structural Vector Autoregression Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 5(4), pages 1058-1064.
    80. Utku Uygur & Oktay TaÅŸ, 2012. "Modeling the effects of investor sentiment and conditional volatility in international stock markets," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 2(5), pages 1-15.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fotini Economou & Konstantinos Gavriilidis & Bartosz Gebka & Vasileios Kallinterakis, 2022. "Feedback trading: a review of theory and empirical evidence," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 15(4), pages 429-476, February.
    2. Chuang, Wen-I & Susmel, Rauli, 2011. "Who is the more overconfident trader? Individual vs. institutional investors," Journal of Banking & Finance, Elsevier, vol. 35(7), pages 1626-1644, July.
    3. Barber, Brad M. & Odean, Terrance, 2013. "The Behavior of Individual Investors," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1533-1570, Elsevier.
    4. Thomas, Ashok & Spataro, Luca & Mathew, Nanditha, 2014. "Pension funds and stock market volatility: An empirical analysis of OECD countries," Journal of Financial Stability, Elsevier, vol. 11(C), pages 92-103.
    5. Utku Uygur & Oktay Taş, 2014. "The impacts of investor sentiment on returns and conditional volatility of international stock markets," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(3), pages 1165-1179, May.
    6. Rahman, M. Arifur & Chowdhury, Shah Saeed Hassan & Shibley Sadique, M., 2015. "Herding where retail investors dominate trading: The case of Saudi Arabia," The Quarterly Review of Economics and Finance, Elsevier, vol. 57(C), pages 46-60.
    7. Goodfellow, Christiane & Bohl, Martin T. & Gebka, Bartosz, 2009. "Together we invest? Individual and institutional investors' trading behaviour in Poland," International Review of Financial Analysis, Elsevier, vol. 18(4), pages 212-221, September.
    8. Itzhak Venezia, 2018. "Lecture Notes in Behavioral Finance," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 10751, April.
    9. SENARATHNE W Chamil & JIANGUO Wei, 2018. "Do Investors Mimic Trading Strategies Of Foreign Investors Or The Market: Implications For Capital Asset Pricing," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 13(3), pages 171-205, December.
    10. Barber, Brad M. & Odean, Terrance & Zhu, Ning, 2009. "Systematic noise," Journal of Financial Markets, Elsevier, vol. 12(4), pages 547-569, November.
    11. Kumari, Jyoti, 2019. "Investor sentiment and stock market liquidity: Evidence from an emerging economy," Journal of Behavioral and Experimental Finance, Elsevier, vol. 23(C), pages 166-180.
    12. Soleman Alsabban & Omar Alarfaj, 2020. "An Empirical Analysis of Behavioral Finance in the Saudi Stock Market: Evidence of Overconfidence Behavior," International Journal of Economics and Financial Issues, Econjournals, vol. 10(1), pages 73-86.
    13. Helen X. H. Bao & Steven Haotong Li, 2020. "Investor Overconfidence and Trading Activity in the Asia Pacific REIT Markets," JRFM, MDPI, vol. 13(10), pages 1-21, September.
    14. Kim, Sei-Wan & Lee, Bong-Soo & Kim, Young-Min, 2014. "Who mimics whom in the equity fund market? Evidence from the Korean equity fund market," Pacific-Basin Finance Journal, Elsevier, vol. 29(C), pages 199-218.
    15. Yu, Jianfeng & Yuan, Yu, 2011. "Investor sentiment and the mean-variance relation," Journal of Financial Economics, Elsevier, vol. 100(2), pages 367-381, May.
    16. Qureshi, Fiza & Kutan, Ali M. & Ismail, Izlin & Gee, Chan Sok, 2017. "Mutual funds and stock market volatility: An empirical analysis of Asian emerging markets," Emerging Markets Review, Elsevier, vol. 31(C), pages 176-192.
    17. Qiang Chen & Yu Han & Ying Huang, 2024. "Market‐wide overconfidence and stock returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(1), pages 3-26, January.
    18. Wen-I Chuang & Bong-Soo Lee & Kai-Li Wang, 2014. "US and Domestic Market Gains and Asian Investors’ Overconfident Trading Behavior," Financial Management, Financial Management Association International, vol. 43(1), pages 113-148, March.
    19. Phan, Thuy Chung & Rieger, Marc Oliver & Wang, Mei, 2018. "What leads to overtrading and under-diversification? Survey evidence from retail investors in an emerging market," Journal of Behavioral and Experimental Finance, Elsevier, vol. 19(C), pages 39-55.
    20. Esra Alp Coşkun & Hakan Kahyaoglu & Chi Keung Marco Lau, 2023. "Which return regime induces overconfidence behavior? Artificial intelligence and a nonlinear approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-34, December.

    More about this item

    Keywords

    Trading behavior; Stock index; VARMA-BEKK-AGARCH model; Behavioral bias; Turkey;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • G1 - Financial Economics - - General Financial Markets
    • G4 - Financial Economics - - Behavioral Finance

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:fininn:v:11:y:2025:i:1:d:10.1186_s40854-024-00717-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.