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Intangible Assets and US Stock Returns: An analysis using the Index Method, Panel Regression, and Machine Learning

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  • Adil Haniev

Abstract

This study examines the impact of intangible assets on stock returns in the U.S. using the Drucker Institute indices, which assess companies based on customer satisfaction, employee engagement and development, innovation, social responsibility, and financial stability. The relevance of this study lies in the growing importance of considering non-financial indicators in investment decision-making. The objective is to determine how these indices affect stock returns across different sectors. The hypotheses posit that each index has a positive impact. The study employs both panel regression with fixed effects and machine learning methods using XGBoost with Shapley values to analyze data from U.S. companies for the period from June 30, 2016, to June 30, 2023. The results indicate that social responsibility has a broadly positive impact on stock returns across various sectors. Innovation significantly affects returns only in the technology sector. Customer satisfaction and financial stability exhibit varying effects depending on the sector, while employee engagement and development show only negative impacts in the energy sector. The significance of this research lies in its contribution to understanding the role of intangible assets in shaping stock performance. We show that investors can achieve both ethical satisfaction and higher financial returns by prioritizing investments in companies with strong social responsibility records. Additionally, we draw the attention of investors and researchers to the importance of considering sectoral affiliation when analyzing companies. The use of advanced analytical tools, such as XGBoost with Shapley values, underscores the potential of machine learning in uncovering complex relationships in financial data. This approach proves to be highly promising for future research.

Suggested Citation

  • Adil Haniev, 2024. "Intangible Assets and US Stock Returns: An analysis using the Index Method, Panel Regression, and Machine Learning," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 23(3), pages 833-854.
    • Handle: RePEc:aiy:jnjaer:v:23:y:2024:i:3:p:833-854
    DOI: https://doi.org/10.15826/vestnik.2024.23.3.033
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    References listed on IDEAS

    as
    1. Jia, Ning, 2018. "Corporate innovation strategy and stock price crash risk," Journal of Corporate Finance, Elsevier, vol. 53(C), pages 155-173.
    2. Raquel Ortega-Argil�s & Mariacristina Piva & Marco Vivarelli, 2015. "The productivity impact of R&D investment: are high-tech sectors still ahead?," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 24(3), pages 204-222, April.
    3. El Ghoul, Sadok & Guedhami, Omrane & Kwok, Chuck C.Y. & Mishra, Dev R., 2011. "Does corporate social responsibility affect the cost of capital?," Journal of Banking & Finance, Elsevier, vol. 35(9), pages 2388-2406, September.
    4. Marc-Arthur Diaye & Sy-Hoa Ho & Rim Oueghlissi, 2022. "ESG performance and economic growth: a panel co-integration analysis," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 49(1), pages 99-122, February.
    5. Robert Jacobson & Natalie Mizik, 2009. "The Financial Markets and Customer Satisfaction: Reexamining Possible Financial Market Mispricing of Customer Satisfaction," Marketing Science, INFORMS, vol. 28(5), pages 810-819, 09-10.
    6. Gen‐Fu Feng & Han Long & Hai‐Jie Wang & Chun‐Ping Chang, 2022. "Environmental, social and governance, corporate social responsibility, and stock returns: What are the short‐ and long‐Run relationships?," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 29(5), pages 1884-1895, September.
    7. Love, James H. & Roper, Stephen & Du, Jun, 2009. "Innovation, ownership and profitability," International Journal of Industrial Organization, Elsevier, vol. 27(3), pages 424-434, May.
    8. Shihao Gu & Bryan Kelly & Dacheng Xiu, 2020. "Empirical Asset Pricing via Machine Learning," Review of Finance, European Finance Association, vol. 33(5), pages 2223-2273.
    9. Coad, Alex & Rao, Rekha, 2008. "Innovation and firm growth in high-tech sectors: A quantile regression approach," Research Policy, Elsevier, vol. 37(4), pages 633-648, May.
    10. Shihao Gu & Bryan Kelly & Dacheng Xiu, 2020. "Empirical Asset Pricing via Machine Learning," The Review of Financial Studies, Society for Financial Studies, vol. 33(5), pages 2223-2273.
    11. Shanaev, Savva & Ghimire, Binam, 2022. "When ESG meets AAA: The effect of ESG rating changes on stock returns," Finance Research Letters, Elsevier, vol. 46(PA).
    12. Crosby, Lawrence A. & Ghanbarpour, Tohid, 2023. "The Drucker intangibles measurement system: An academic perspective," Journal of Business Research, Elsevier, vol. 155(PB).
    13. Goss, Allen & Roberts, Gordon S., 2011. "The impact of corporate social responsibility on the cost of bank loans," Journal of Banking & Finance, Elsevier, vol. 35(7), pages 1794-1810, July.
    14. van Dijk, Mathijs A., 2011. "Is size dead? A review of the size effect in equity returns," Journal of Banking & Finance, Elsevier, vol. 35(12), pages 3263-3274.
    15. Cerqueti, Roy & Ciciretti, Rocco & Dalò, Ambrogio & Nicolosi, Marco, 2021. "ESG investing: A chance to reduce systemic risk," Journal of Financial Stability, Elsevier, vol. 54(C).
    16. Florian Berg & Julian F Kölbel & Roberto Rigobon, 2022. "Aggregate Confusion: The Divergence of ESG Ratings [Corporate social responsibility and firm risk: theory and empirical evidence]," Review of Finance, European Finance Association, vol. 26(6), pages 1315-1344.
    17. Apergis, Nicholas & Poufinas, Thomas & Antonopoulos, Alexandros, 2022. "ESG scores and cost of debt," Energy Economics, Elsevier, vol. 112(C).
    18. He, Feng & Du, Hanyu & Yu, Bo, 2022. "Corporate ESG performance and manager misconduct: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 82(C).
    19. Berger, Theo, 2023. "Explainable artificial intelligence and economic panel data: A study on volatility spillover along the supply chains," Finance Research Letters, Elsevier, vol. 54(C).
    20. Paul Geroski & Steve Machin & John Van Reenen, 1993. "The Profitability of Innovating Firms," RAND Journal of Economics, The RAND Corporation, vol. 24(2), pages 198-211, Summer.
    21. David Ratigan & Peter A. Zaleski, 2024. "The Drucker indexes and profitability: a first look," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 59(2), pages 78-85, April.
    22. Dranev, Yury & Frolova, Ksenia & Ochirova, Elena, 2019. "The impact of fintech M&A on stock returns," Research in International Business and Finance, Elsevier, vol. 48(C), pages 353-364.
    23. Cameron Truong & Thu Ha Nguyen & Thanh Huynh, 2021. "Customer satisfaction and the cost of capital," Review of Accounting Studies, Springer, vol. 26(1), pages 293-342, March.
    24. Soohun Kim & Aaron Yoon, 2023. "Analyzing Active Fund Managers’ Commitment to ESG: Evidence from the United Nations Principles for Responsible Investment," Management Science, INFORMS, vol. 69(2), pages 741-758, February.
    25. Caroline Flammer, 2015. "Does Corporate Social Responsibility Lead to Superior Financial Performance? A Regression Discontinuity Approach," Management Science, INFORMS, vol. 61(11), pages 2549-2568, November.
    26. Peter W. Roberts, 1999. "Product innovation, product–market competition and persistent profitability in the U.S. pharmaceutical industry," Strategic Management Journal, Wiley Blackwell, vol. 20(7), pages 655-670, July.
    27. Ben-Nasr, Hamdi & Ghouma, Hatem, 2018. "Employee welfare and stock price crash risk," Journal of Corporate Finance, Elsevier, vol. 48(C), pages 700-725.
    28. Aneesh Raghunandan & Shiva Rajgopal, 2022. "Do ESG funds make stakeholder-friendly investments?," Review of Accounting Studies, Springer, vol. 27(3), pages 822-863, September.
    29. Gregor Dorfleitner & Sebastian Utz & Maximilian Wimmer, 2018. "Patience pays off – corporate social responsibility and long-term stock returns," Journal of Sustainable Finance & Investment, Taylor & Francis Journals, vol. 8(2), pages 132-157, April.
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    More about this item

    Keywords

    Drucker Institute Indexes; stock returns; ESG; corporate social responsibility; machine learning;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics

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