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Technical analysis and individual investors

Citations

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Cited by:

  1. Roger, Patrick & D’Hondt, Catherine & Plotkina, Daria & Hoffmann, Arvid, 2022. "Number 19: Another Victim of the COVID‐19 Pandemic?," LIDAM Reprints LFIN 2022012, Université catholique de Louvain, Louvain Finance (LFIN).
  2. Cox, Ruben & Kamolsareeratana, Atcha & Kouwenberg, Roy, 2020. "Compulsive gambling in the financial markets: Evidence from two investor surveys," Journal of Banking & Finance, Elsevier, vol. 111(C).
  3. Senol Emir & Hasan Dincer & Umit Hacioglu & Serhat Yuksel, 2016. "Random Regression Forest Model using Technical Analysis Variables: An application on Turkish Banking Sector in Borsa Istanbul (BIST)," International Journal of Finance & Banking Studies, Center for the Strategic Studies in Business and Finance, vol. 5(3), pages 85-102, April.
  4. Jorge Faleiro & Edward Tsang, 2018. "Black Magic Investigation Made Simple: Monte Carlo Simulations and Historical Back Testing of Momentum Cross-Over Strategies Using FRACTI Patterns," Papers 1808.07949, arXiv.org.
  5. Mohammad Tariqul Islam Khan, 2022. "Prior perceived losses and investment objectives after stock market crisis: a moderated-mediation model of risk tolerance and loss aversion," SN Business & Economics, Springer, vol. 2(7), pages 1-22, July.
  6. Anghel, Dan Gabriel, 2021. "Data Snooping Bias in Tests of the Relative Performance of Multiple Forecasting Models," Journal of Banking & Finance, Elsevier, vol. 126(C).
  7. Kevin Rink, 2023. "The predictive ability of technical trading rules: an empirical analysis of developed and emerging equity markets," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 37(4), pages 403-456, December.
  8. Atcha Kamolsareeratana & Roy Kouwenberg, 2023. "Compulsive Gambling in the Stock Market: Evidence from an Emerging Market," Economies, MDPI, vol. 11(1), pages 1-25, January.
  9. Renault, Thomas, 2017. "Intraday online investor sentiment and return patterns in the U.S. stock market," Journal of Banking & Finance, Elsevier, vol. 84(C), pages 25-40.
  10. Abid, Ilyes & Benlemlih, Mohammed & El Ouadghiri, Imane & Peillex, Jonathan & Urom, Christian, 2023. "Fossil fuel divestment and energy prices: Implications for economic agents," Journal of Economic Behavior & Organization, Elsevier, vol. 214(C), pages 1-16.
  11. Chiarella, Carl & Ladley, Daniel, 2016. "Chasing trends at the micro-level: The effect of technical trading on order book dynamics," Journal of Banking & Finance, Elsevier, vol. 72(S), pages 119-131.
  12. Bose, Subir & Ladley, Daniel & Li, Xin, 2020. "The role of hormones in financial markets," International Review of Financial Analysis, Elsevier, vol. 67(C).
  13. André Schmidt, 2017. "Determinants of Corporate Voting – Evidence from a Large Survey of German Retail Investors," Schmalenbach Business Review, Springer;Schmalenbach-Gesellschaft, vol. 18(1), pages 71-103, February.
  14. Tsung-Hsun Lu & Jun-De Lee, 2016. "Is Abnormally Large Volume a Clue?," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(9), pages 226-233, September.
  15. Jatin Malhotra & Angelo Corelli, 2021. "The Relative Informativeness of Regular and E-Mini Euro/Dollar Futures Contracts and the Role of Trader Types," Risks, MDPI, vol. 9(6), pages 1-14, June.
  16. Tsai, Yi-Cheng & Lei, Chin-Laung & Cheung, William & Wu, Chung-Shu & Ho, Jan-Ming & Wang, Chuan-Ju, 2018. "Exploring the Persistent Behavior of Financial Markets," Finance Research Letters, Elsevier, vol. 24(C), pages 199-220.
  17. Bosman, Ronald & Kräussl, Roman & Mirgorodskaya, Elizaveta, 2015. "The "tone effect" of news on investor beliefs: An experimental approach," CFS Working Paper Series 522, Center for Financial Studies (CFS).
  18. Gao, Xing & Ladley, Daniel, 2022. "Statistical arbitrage and risk contagion," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
  19. Vicky Henderson & Saul Jacka & Ruiqi Liu, 2021. "The Support and Resistance Line Method: An Analysis via Optimal Stopping," Papers 2103.02331, arXiv.org.
  20. D’Hondt, Catherine & De Winne, Rudy & Merli, Maxime, 2021. "Do retail investors bite off more than they can chew? A close look at their return objectives," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 879-902.
  21. Isidore, Renu & Arun, C. Joe, 2023. "The Moderating Effect of Financial Literacy on the Relationship Between Decision-Making Tools and Equity Returns in the Indian Secondary Equity Market," Revista Finanzas y Politica Economica, Universidad Católica de Colombia, vol. 15(1), pages 185-211, January.
  22. Kaplanski, Guy & Levy, Haim & Veld, Chris & Veld-Merkoulova, Yulia, 2016. "Past returns and the perceived Sharpe ratio," Journal of Economic Behavior & Organization, Elsevier, vol. 123(C), pages 149-167.
  23. Ebert, Sebastian & Hilpert, Christian, 2019. "Skewness preference and the popularity of technical analysis," Journal of Banking & Finance, Elsevier, vol. 109(C).
  24. Paolo Mazza & Mikael Petitjean, 2019. "Testing the effect of technical analysis on market quality and order book dynamics," Applied Economics, Taylor & Francis Journals, vol. 51(18), pages 1947-1976, April.
  25. Abdin, Syed Zain ul & Farooq, Omer & Sultana, Naheed & Farooq, Mariam, 2017. "The impact of heuristics on investment decision and performance: Exploring multiple mediation mechanisms," Research in International Business and Finance, Elsevier, vol. 42(C), pages 674-688.
  26. Inghelbrecht, Koen & Tedde, Mariachiara, 2024. "Overconfidence, financial literacy and excessive trading," Journal of Economic Behavior & Organization, Elsevier, vol. 219(C), pages 152-195.
  27. Zhaobo Zhu & Licheng Sun, 2024. "When Buffett Meets Bollinger: An Integrated Approach to Fundamental and Technical Analysis," Post-Print hal-04703041, HAL.
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