
Research on the Application and Expansion of Fama-French Model in Healthcare Industry (ETF)
- 1 University of Glasgow
* Author to whom correspondence should be addressed.
Abstract
Research about the Fama-French (F-F) model has long attracted significant academic attention. This study explores the application and extension of the F-F model within the healthcare sector. Using the Vanguard Health Care ETF (VHT) as a representative of the healthcare sector, this research examines its monthly returns over the period from 2014 to 2024. A comparison between the Fama-French three-factor (FF3) and five-factor models (FF5) reveals that the FF5 model is more suitable for the healthcare industry, the impact on ETF returns increased by 3.82%. To identify a model better suited for the healthcare sector, this study extends the FF5 model by incorporating an additional 11 factors. Through stepwise regression and significance testing, the final model with the highest adjusted R² value and strongest explanatory power for ETF returns was constructed. The independent variables in this Extension model include market excess returns (Rm-Rf), HML, CMA, the momentum factor (MOM), inflation rate (INFR), employment change rate (EMP), and the PPI for medical laboratories (PPILAB). Compared to the original FF5 model, which had an adj R² of 0.6980, the Adj R² of the Extension model increased to 0.7359, demonstrating a better fit for the healthcare industry. As a result, with the help of this study, investors will be better equipped to use the F-F Model and make informed investments in the healthcare sector.
Keywords
Healthcare sector, Fama-French model, investment returns, Extension factors
[1]. Cohn, D., & Taylor, P. (2010). Baby Boomers approach 65. Retrieved from https://s3.amazonaws.com/static.pseupdate.mior.ca/media/links/Baby%20Boomers%20Approach%2065%20glumly.pdf
[2]. Mazur, M., Dang, M., & Vega, M. (2021). COVID-19 and the march 2020 stock market crash. Evidence from S&P1500. Finance research letters, 38, 101690.
[3]. Kuziak, K., & Górka, J. (2023). Dependence analysis for the energy sector based on energy ETFs. Energies, 16(3), 1329.
[4]. Fama, E. F., & FrencH, K. R. (1996). Multifactor explanations of asset pricing anomalies. The Journal of Finance, 51(1), 55.
[5]. Ekaputra, I. A., & Sutrisno, B. (2020). Empirical tests of the Fama-French five-factor model in Indonesia and Singapore. Afro-Asian J of Finance and Accounting, 10(1), 85.
[6]. Fatima, S. Z., & Haroon, M. (2018). Performance Evaluation of Pakistan’s Mutual Fund through CAPM and Fama French 3-Factor Model. Archives of Business Research, 6(3).
[7]. Korenak, B. (2022). The Fama-French Five-Factor Model: Evidence of the Emerging Markets Exchange Traded Funds Performance. In Conference Proceedings Determinants Of Regional Development (No. 3, pp. 56-67).
[8]. Kenneth R. French - Data Library. (n.d.). Retrieved from https://mba.tuck.dartmouth.edu/pages/faculty/ken.french/data_library.html
[9]. American Association of Individual Investors. (n.d.). Sentiment Survey Historical Data. Retrieved from https://www.aaii.com/sentimentsurvey/sent_results
[10]. VettaFi. (2024). Vanguard Health Care ETF. Retrieved from https://etfdb.com/etf/VHT/#etf-ticker-profile.
[11]. Yahoo is part of the Yahoo family of brands. (n.d). Vanguard Health Care Index Fund ETF Shares (VHT). Retrieved from https://finance.yahoo.com/quote/VHT/profile/
[12]. Fama, E. F., & French, K. R. (2015). A five-factor asset pricing model. Journal of Financial Economics, 116(1), 1–22.
[13]. Johnsson, T. (1992). A procedure for stepwise regression analysis. Statistical Papers, 33(1), 21-29.
[14]. Chen, H., Estes, J., & Pratt, W. (2018). Investing in the healthcare sector: mutual funds or ETFs. Managerial Finance, 44(4), 495-508.
[15]. Baker, F. J., & Silverton, R. E. (2014). Introduction to medical laboratory technology. Butterworth-Heinemann.
[16]. Sheikh, M., Bokaei, M. N., Alijani, H., Saadatmand, M., Fard, S. M. H., & Sharahi, I. C. (2011). Investigating relationship between consumer price index and producer price index and dividend per share. Australian Journal of Business and Management Research, 1, 121-128.
Cite this article
Hao,J. (2024). Research on the Application and Expansion of Fama-French Model in Healthcare Industry (ETF). Advances in Economics, Management and Political Sciences,124,23-31.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
Disclaimer/Publisher's Note
The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of EWA Publishing and/or the editor(s). EWA Publishing and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
About volume
Volume title: Proceedings of the 8th International Conference on Economic Management and Green Development
© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and
conditions of the Creative Commons Attribution (CC BY) license. Authors who
publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons
Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this
series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published
version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial
publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and
during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See
Open access policy for details).