دورية أكاديمية

The Hesitation of Anxious Traders in an Agent-Based Model

التفاصيل البيبلوغرافية
العنوان: The Hesitation of Anxious Traders in an Agent-Based Model
المؤلفون: Bao-Jun Tang, Kun-Ben Lin, Jing-Bo Huang, Hung-Wen Lin
المصدر: Complexity, Vol 2022 (2022)
بيانات النشر: Wiley, 2022.
سنة النشر: 2022
المجموعة: LCC:Electronic computers. Computer science
مصطلحات موضوعية: Electronic computers. Computer science, QA75.5-76.95
الوصف: Anxiety prevails in financial markets. In accordance with psychological research, anxious traders’ hesitant behavior differs from the frequently dissected herding and speculative behaviors. This paper examines the interactions between agent anxiety and price inertia in an artificial financial market. We incorporate an evolutionary mechanism to analyze the strategic benefit of the boundedly rational anxious agent. According to our simulation results, deviations in asset prices from their fundamentals increase with the behavioral hesitation of the anxious agent. The investment rigidity from the anxious agent’s lack of confidence mitigates the possibility of price reversal. Moreover, the average strategic benefit of the anxious agent is close to zero. To ensure the reliability of our finding, we further include the irrationality of the anxious agent in our evolutionary setting. Such an endeavor again demonstrates that the strategic benefit of the fundamentalist agent is inferior to that of the anxious agent. Since the anxious agent is characterized by an intolerance for uncertainty, we also investigate the artificial market under various degrees of risk aversion. We perceive that it is less possible for price reversal to emerge when considering higher levels of hesitation. The behavioral hesitation of the anxious agent enables the agent to cleverly evade the risk raised by the speculator.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1099-0526
Relation: https://doaj.org/toc/1099-0526
DOI: 10.1155/2022/5302302
URL الوصول: https://doaj.org/article/aea362fe67564b58a3f1b4b71f58784a
رقم الأكسشن: edsdoj.362fe67564b58a3f1b4b71f58784a
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:10990526
DOI:10.1155/2022/5302302