ASSESSMENT OF THE PREDICTIVE POWER OF THE FAMA-FRENCH FIVE FACTORS ON BSI, CPI AND ROE: EVIDENCE FORM THE THAI CAPITAL MARKET

ผู้แต่ง

  • Kulabutr Komenkul College of Innovative Business and Accountancy, Dhurakij Pundit University
  • Thanaphon Saengsookwaw College of Innovative Business and Accountancy, Dhurakij Pundit University
  • Wanida Wongsawat College of Innovative Business and Accountancy, Dhurakij Pundit University
  • Pichayut Oonnarit College of Innovative Business and Accountancy, Dhurakij Pundit University
  • Inthira Namrit College of Innovative Business and Accountancy, Dhurakij Pundit University

คำสำคัญ:

Fama-French Five-Factor Model, Business Sentiment Index (BSI), Return on Equity (ROE), Consumer Price Index (CPI), Vector Autoregression (VAR)

บทคัดย่อ

This study examines the dynamic relationship between the Fama-French Five-Factor Model and key macroeconomic and behavioral indicators in the context of the Thai capital market. Based on monthly data from January 2014 to January 2025, the analysis includes firm-level risk factors such as Market (MKT), Size (SMB), Value (HML), Profitability (RMW), and Investment (CMA) alongside macroeconomic indicators such as business sentiment index (BSI), Consumer Price Index (CPI), and Return on Equity (ROE). Using a vector autoregression (VAR) framework, the study examines the temporal causality and interdependencies between these variables.

The results show that MKT and HML have a significant impact on BSI, suggesting that business sentiment is sensitive to overall market performance and value stock returns. RMW consistently affects CPI and ROE, highlighting the central role of profitability in inflationary pressures and corporate performance. Diagnostic checks confirm the stability and robustness of the model, even though the residuals exhibit non-normality, a common feature of financial time series. The integration of BSI into the Fama-French model increases its explanatory power and provides new insights into behavioral-financial interactions in emerging markets. These results contribute to both the theoretical literature on asset pricing and practical frameworks for investment and policy formulation in volatile economies such as Thailand.

เอกสารอ้างอิง

Ali, F., Khurram, M. U., & Jiang, Y. (2021). The five-factor asset pricing model tests and profitability and investment premiums: Evidence from Pakistan. Emerging Markets Finance and Trade, 57(9), 2651–2673. https://doi.org/10.1080/1540496X.2019.1650738

Cai, Y., Chou, R. Y., & Li, D. (2009). Explaining international stock correlations with CPI fluctuations and market volatility. Journal of Banking & Finance, 33(11), 2026-2035. https://doi.org/10.1016/j.jbankfin.2009.05.013

Dhaoui, A., & Bensalah, N. (2016). Asset valuation impact of investor sentiment: A revised Fama–French five-factor model. Journal of Asset Management, 18, 16–28. https://doi.org/10.1057/s41260-016-0027-2

Dirkx, P., & Peter, F. J. (2020). The Fama French five-factor model plus momentum: Evidence for the German market. Schmalenbach Business Review, 72, 661–684. https://doi.org/10.1007/s41464-020-00105-y

Fama, E. F., & French, K. R. (1993). Common risk factors in the returns on stocks and bonds. Journal of Financial Economics, 33(1), 3–56. https://doi.org/10.1016/0304-405X(93)90023-5

Fama, E. F., & French, K. R. (2015). A five-factor asset pricing model. Journal of Financial Economics, 116(1), 1–22. https://doi.org/10.1016/j.jfineco.2014.10.010

Habibah, U., Bhayo, M.-u.-R., & Iqbal, M. S. (2021). Investor sentiments and Fama–French five-factor premia. The Journal of Risk Finance, 22(2), 125-140. https://doi.org/10.1177/21582440211027846

Kuo, Y.-S., & Huang, J.-T. (2022). Factor-based investing in market cycles: Fama–French five-factor model of market interest rate and market sentiment. Journal of Risk and Financial Management, 15(10), 460. https://doi.org/10.3390/jrfm15100460

Parkatt, G., Pamornmast, C., & Thavikitikul, Y. (2022). Economic and financial factors as predictor factors of stock returns of listed companies in the sSet index in the stock exchange of Thailand. Rajapark Journal, 16(49), 146–163.

Treerasahagul, T., & Tuvadaratragoo, S. (2018). The Economic Determinants Affecting Stock Market Index in the Stock Exchange of Thailand. Srinakharinwirot Business Journal, 9(8), 18-29.

ดาวน์โหลด

เผยแพร่แล้ว

2025-08-06

รูปแบบการอ้างอิง

Komenkul, K. ., Saengsookwaw, T. ., Wongsawat, W. ., Oonnarit, P., & Namrit, I. . (2025). ASSESSMENT OF THE PREDICTIVE POWER OF THE FAMA-FRENCH FIVE FACTORS ON BSI, CPI AND ROE: EVIDENCE FORM THE THAI CAPITAL MARKET. วารสารวิชาการสังคมศาสตร์เครือข่ายวิจัยประชาชื่น, 7(2), 20–34. สืบค้น จาก https://so03.tci-thaijo.org/index.php/prn/article/view/288264

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