five

Intangible value factor in the Thai stock market

收藏
DataCite Commons2026-02-23 更新2026-05-04 收录
下载链接:
http://doi.nrct.go.th/?page=resolve_doi&resolve_doi=10.14457/TU.the.2025.213
下载链接
链接失效反馈
官方服务:
资源简介:
This paper examines whether incorporating intangible assets into book equity improves the explanatory power of multi-factor asset-pricing models and the performance of value strategies in the Thai equity market. Using data covering 2000–2023, we construct an intangible-adjusted value factor (HMLINT) following the approach of Eisfeldt et al. (2022) and compare it with the conventional Fama–French value factor (HMLFF). The first analysis applies the Fama and MacBeth (1973) two-pass regression approach to examine pricing errors, providing a cross-sectional test of model accuracy based on the Fama–French three- and five-factor regressions, both extended to include momentum (UMD). The results indicate that the momentum (UMD) and investment (CMA) factors are the main drivers of expected returns in the Thai market, while the profitability (RMW) and traditional value (HMLFF) factors provide limited explanatory power. Although the intangible-adjusted value factor (HMLINT) is not statistically significant, its inclusion consistently reduces average absolute pricing errors and slightly improves model performance, suggesting that intangibles refine the measurement of firm value. Average pricing errors decline from approximately 0.9% per month in the four-factor model to 0.5% per month in the six-factor model with HMLINT.The second analysis assesses the factor’s performance using time-series regressions based on the same Fama–French frameworks with momentum. The results show that HMLINT and HMLFF behave similarly in the early years, but a clear divergence arises after 2020. In the second half of the sample period, HMLINT delivers statistically significant abnormal returns, equivalent to an additional annualized premium of around 5–6%.Overall, the findings indicate that recognizing intangible assets within book equity enhances the effectiveness of value strategies in Thailand and improves the accuracy of multi-factor models. These results are consistent with international evidence, although the impact of intangibles emerges later in the Thai context.
提供机构:
Thammasat University
创建时间:
2026-02-23
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作