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How does the six-factor model do in explaining the relationship between return and risk on the Indonesia stock exchange?

Author

Listed:
  • Claudia Florensia

    (Department of Economics and Business, School of Management, Widyatama University, Bandung, Indonesia)

  • Neneng Susanti

    (Department of Economics and Business, School of Management, Widyatama University, Bandung, Indonesia)

Abstract

This study aims to determine the effect of six-factor (market return, firm size, value, profitability, investment, human capital) on excess return in companies with shares listed in LQ45 for the 2015-2019 period. The population of this study consists of 45 LQ45 companies listed on the Indonesia Stock Exchange (IDX). The purposive sampling method is the sample selection method that is used in this study. As a result, it shows that there are 26 companies that fit the criteria and taken as samples. Furthermore, the data analysis method that is used in this study is the panel data regression model. Based on the results of this study, it is showed that partially, market return (X1), firm size (X2), profitability (X4), and investment (X5) have a significant positive effect on the excess return of companies listed in LQ45 for the 2015-2019 period. Whereas, value (X3) and human capital (X6) do not have a significant effect on the excess return of companies listed in LQ45 for the 2015-2019 period partially. Another result also shows that simultaneously or as a whole, six-factors (market return, firm size, value, profitability, investment, human capital) have a significant effect on the excess return of companies listed in LQ45 for the 2015-2019 period. Key Words: Six-Factor; Market Return; SMB; HML; RMW; CMA; LBR; Excess Return

Suggested Citation

  • Claudia Florensia & Neneng Susanti, 2020. "How does the six-factor model do in explaining the relationship between return and risk on the Indonesia stock exchange?," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 9(7), pages 93-107, December.
  • Handle: RePEc:rbs:ijbrss:v:9:y:2020:i:7:p:93-107
    DOI: 10.20525/ijrbs.v9i7.930
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    References listed on IDEAS

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    1. Stephen A. Ross, 2013. "The Arbitrage Theory of Capital Asset Pricing," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 1, pages 11-30, World Scientific Publishing Co. Pte. Ltd..
    2. Usman Ayub & Samaila Kausar & Umara Noreen & Muhammad Zakaria & Imran Abbas Jadoon, 2020. "Downside Risk-Based Six-Factor Capital Asset Pricing Model (CAPM): A New Paradigm in Asset Pricing," Sustainability, MDPI, vol. 12(17), pages 1-16, August.
    3. Frederico Belo & Jun Li & Xiaoji Lin & Xiaofei Zhao, 2017. "Labor-Force Heterogeneity and Asset Prices: The Importance of Skilled Labor," The Review of Financial Studies, Society for Financial Studies, vol. 30(10), pages 3669-3709.
    4. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    5. Kim, Dongcheol & Kim, Tong Suk & Min, Byoung-Kyu, 2011. "Future labor income growth and the cross-section of equity returns," Journal of Banking & Finance, Elsevier, vol. 35(1), pages 67-81, January.
    6. Rahul Roy & Santhakumar Shijin, 2018. "A six-factor asset pricing model," Post-Print hal-01878923, HAL.
    7. Rahul Roy & Santhakumar Shijin, 2018. "A six-factor asset pricing model," Papers 1810.07790, arXiv.org.
    8. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
    9. Titman, Sheridan & Wei, K. C. John & Xie, Feixue, 2004. "Capital Investments and Stock Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 39(4), pages 677-700, December.
    10. Song l Kakilli Acaravci & Yunus Karaomer, 2017. "Fama-French Five Factor Model: Evidence from Turkey," International Journal of Economics and Financial Issues, Econjournals, vol. 7(6), pages 130-137.
    11. Rahul Roy & Santhakumar Shijin, 2018. "A six-factor asset pricing model," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 18(3), pages 205-217, September.
    Full references (including those not matched with items on IDEAS)

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