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Sini?a Bogdan, Natali Brmalj and Elvis Mujacevic
This research addresses the impact of individual investors on the cryptocurrency market, focusing specifically on the development of herd behavior. Although the phenomenon of herd behavior has been studied extensively in the stock market, it has received...
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Benomar Ikram, Ben El Haj Fouad and Chelh Sara
This paper offers a comprehensive empirical overview of the impact of overconfidence in the stock market, thus contributing to the existing research literature on this topic. The study employs a bibliometric approach that utilizes the VOSviewer to extrac...
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Sourav Prasad, Sabyasachi Mohapatra, Molla Ramizur Rahman and Amit Puniyani
The Investor Sentiment Index (ISI) is widely regarded as a useful measure to gauge the overall mood of the market. Investor panic may result in contagion, causing failure in financial markets. Market participants widely use the ISI indicator to understan...
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Khaoula Benayad and Mohammed Rachid Aasri
This article examines the impact of overconfidence, optimism, risk aversion, mimicry and intuition biases on the investment decisions of Moroccan SMEs managers. The study was based on a sample of 133 SMEs managers, who were randomly selected to ensure th...
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Bikram Pratim Bhuyan, Vaishnavi Jaiswal and Amar Ramdane Cherif
Investors at well-known firms are increasingly becoming interested in stock forecasting as they seek more effective methods to predict market behavior using behavioral finance tools. Accordingly, studies aimed at predicting stock performance are gaining ...
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Loan Thi Vu, Dong Ngoc Pham, Hang Thu Kieu and Thuy Thi Thanh Pham
News on the stock market contains positive or negative sentiments depending on whether the information provided is favorable or unfavorable to the stock market. This study aims to discover news sentiments and classify news according to its sentiments wit...
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Saeede Anbaee Farimani, Majid Vafaei Jahan and Amin Milani Fard
News dissemination in social media causes fluctuations in financial markets. (Scope) Recent advanced methods in deep learning-based natural language processing have shown promising results in financial market analysis. However, understanding how to lever...
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Yadav Devi Prasad Behera, Sudhansu Sekhar Nanda, Shibani Sharma and Tushar Ranjan Sahoo
The encouragement of potential investors who are emotionally broken by past losses and market experiences is crucial to the sustainable flow of funds to the stock market. This can be established by building a knowledge-creating mechanism among investors ...
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Ivan Cherednik
We propose a mathematical model of momentum risk-taking, which is essentially real-time risk management focused on short-term volatility. Its implementation, a fully automated momentum equity trading system, is systematically discussed in this paper. It ...
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Vladislav Zhdanov and Artem Simonov
Purpose: This article analyzes the influence of familiarity bias on respondents? decision-making process, using results from online experiments. Design/methodology/approach: A total of 255 research participants from post-Soviet countries completed 510 on...
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