信息处理和异质情绪反应窗口:来自标普500股票的证据
1Department of Information Management, National Sun Yat-sen University, Kaohsiung 80424, Taiwan.
Entropy (Basel, Switzerland)
|December 24, 2025
概括
股票市场对金融新闻的反应不均,积极和消极情绪的延迟不同. 这种异质性影响价格调整和交易表现,突出了投资者行为和市场结构的作用.
科学领域:
- 金融经济学 金融经济学
- 计算金融是指计算金融.
- 市场微观结构 市场微观结构
背景情况:
- 市场效率受到不同类型的投资者对金融新闻的反应的挑战.
- 在情绪整合方面,特定资产的延迟会造成信息不确定性.
- 现有的模型往往忽视了情感同化在时间上有所变化和不统一的性质.
研究的目的:
- 量化市场对金融新闻情绪反应的异质时间.
- 研究这些不平等的反应窗口对信息和价格动态的影响.
- 开发和验证用于估计特定股票情绪反应窗口和改进交易策略的框架.
主要方法:
- 使用FinBERT对金融新闻头条的情绪分类.
- 集成波林格波段用于技术信号识别.
- 采用基因算法 (GA) 来估计动态的,资产特定的情绪反应窗口.
- 使用2021-2024年标准普尔500指数数据验证框架,并进行样本外测试.
主要成果:
- 来自GA的情绪反应窗口比固定或仅技术基准更准确地捕捉了价格调整滞后.
- 将新闻情绪纳入博林杰波段交易策略中,将赢率提高了5%左右,并改善了整体收益.
- 证明异质和延迟的情绪同化显著影响信息和市场效率.
结论:
- 金融市场的情绪同化是一个时间依赖的过程,受行为和结构因素的影响.
- 由延迟和异质反应驱动的信息对市场动态和回报产生起着至关重要的作用.
- 开发的框架提供了一种新的方法来理解和利用情绪驱动的市场低效率.
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