基于人力资本的四因素资产定价模型:巴基斯坦的一项实证研究
Naveed Khan1, Hassan Zada2, Shakeel Ahmed1
1Faculty of Management Sciences, HITEC University, Taxila 47080, Pakistan.
Heliyon
|May 26, 2023
概括
这项研究通过增加人力资本来增强Fama-French模型,发现小,价值和低劳动收入股票的表现优于. 基于人力资本的四因素模式对巴基斯坦股票市场是有效的.
科学领域:
- 金融 金融 金融 金融 金融
- 资产定价 资产定价
- 行为金融是行为金融.
背景情况:
- 法玛-法兰西三因素模型是资产定价的基石.
- 人力资本在公司估值中的作用仍然未被充分探索.
- 在像巴基斯坦这样的新兴市场,对因子模型的研究有限.
研究的目的:
- 通过将人力资本作为第四个因素来扩展法马-法国模式.
- 测试基于增强的人力资本的四因素模型的有效性.
- 为投资者和学术界提供关于投资决策中的人力资本的见解.
主要方法:
- 从巴基斯坦的164家非金融公司收集的数据 (2010年7月 - 2020年6月).
- 在模型验证中采用了双通时间序列回归 (Fama-Macbeth,1973年).
- 分析了包括大小,价值和劳动收入在内的因素的表现.
主要成果:
- 与大型企业相比,小型企业表现优越.
- 价值股表现优于增长股.
- 劳动收入低的企业比劳动收入高的企业表现出更高的回报率.
- 增强模型在巴基斯坦股票市场中被证明是有效和适用的.
结论:
- 人力资本是资产定价的一个重要因素.
- 增强的四因素模型为了解股票回报提供了更全面的方法.
- 投资者和研究人员应在财务决策和分析中考虑人力资本.
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