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Portfolio Forming Decisions: The Role of Intangibles

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  • Marina A. Zavertiaeva

    (National Research University Higher School of Economics)

Abstract

The purpose of this study is to present a tool to categorize companies as potentially profitable on the basis of an analysis of their intangibles. The paper distinguishes two crucial attributes for picking shares: intangibles and the capitalization of intangible-based growth potential in market indicators. By means of these attributes we create a portfolio from a sample of European companies and annually rebalance it. To test its attractiveness we compare it with benchmarks and random portfolios during the period from 2006 to 2013 using the Sharpe coefficient. The comparisons of the portfolio with the benchmarks demonstrate the importance of intangibles and the validity of the proposed tool. The Sharpe coefficient of the portfolio is significantly higher than the mean and median Sharpe ratio of random portfolios. The importance of intangibles for choosing an investment goal increases in crises. The paper contributes to the literature by identifying undervalued shares on the basis of the company’s intangibles and developing an algorithm to create an intangible-based investment portfolio

Suggested Citation

  • Marina A. Zavertiaeva, 2015. "Portfolio Forming Decisions: The Role of Intangibles," HSE Working papers WP BRP 44/FE/2015, National Research University Higher School of Economics.
  • Handle: RePEc:hig:wpaper:44/fe/2015
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    References listed on IDEAS

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    1. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    2. Ivo Welch & Amit Goyal, 2008. "A Comprehensive Look at The Empirical Performance of Equity Premium Prediction," Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1455-1508, July.
    3. Eugene F. Fama & Kenneth R. French, 1998. "Value versus Growth: The International Evidence," Journal of Finance, American Finance Association, vol. 53(6), pages 1975-1999, December.
    4. Jagannathan, Ravi & Wang, Zhenyu, 1996. "The Conditional CAPM and the Cross-Section of Expected Returns," Journal of Finance, American Finance Association, vol. 51(1), pages 3-53, March.
    5. A. Al-Horani & P. F. Pope & A. W. Stark, 2003. "Research and Development Activity and Expected Returns in the United Kingdom," Review of Finance, European Finance Association, vol. 7(1), pages 27-46.
    6. Baruch Lev & Theodore Sougiannis, 1999. "Penetrating the Book-to-Market Black Box: The R&D Effect," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 26(3-4), pages 419-449.
    7. Zvi Griliches, 1984. "Market Value, R&D, and Patents," NBER Chapters, in: R&D, Patents, and Productivity, pages 249-252, National Bureau of Economic Research, Inc.
    8. Kothari, S. P. & Shanken, Jay, 1997. "Book-to-market, dividend yield, and expected market returns: A time-series analysis," Journal of Financial Economics, Elsevier, vol. 44(2), pages 169-203, May.
    9. Doern, Rachel R. & Fey, Carl F., 2006. "E-commerce developments and strategies for value creation: The case of Russia," Journal of World Business, Elsevier, vol. 41(4), pages 315-327, December.
    10. duqi, andi & mirti, riccardo & torluccio, giuseppe, 2011. "An analysis of the R&D effect on stock returns for European listed firms," MPRA Paper 40012, University Library of Munich, Germany.
    11. Anagnostopoulou, Seraina C. & Levis, Mario, 2008. "R&D and performance persistence: Evidence from the United Kingdom," The International Journal of Accounting, Elsevier, vol. 43(3), pages 293-320, September.
    12. Allan C. Eberhart & William F. Maxwell & Akhtar R. Siddique, 2004. "An Examination of Long-Term Abnormal Stock Returns and Operating Performance Following R&D Increases," Journal of Finance, American Finance Association, vol. 59(2), pages 623-650, April.
    13. Lewellen, Jonathan, 2004. "Predicting returns with financial ratios," Journal of Financial Economics, Elsevier, vol. 74(2), pages 209-235, November.
    14. Roper, Stephen & Du, Jun & Love, James H., 2008. "Modelling the innovation value chain," Research Policy, Elsevier, vol. 37(6-7), pages 961-977, July.
    15. Christine Greenhalgh & Mark Longland, 2005. "Running to Stand Still? - The Value of R&D, Patents and Trade Marks in Innovating Manufacturing Firms," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 12(3), pages 307-328.
    16. Rod Shrader & Donald S. Siegel, 2007. "Assessing the Relationship between Human Capital and Firm Performance: Evidence from Technology–Based New Ventures," Entrepreneurship Theory and Practice, , vol. 31(6), pages 893-908, November.
    17. Mark A. Youndt & Mohan Subramaniam & Scott A. Snell, 2004. "Intellectual Capital Profiles: An Examination of Investments and Returns," Journal of Management Studies, Wiley Blackwell, vol. 41(2), pages 335-361, March.
    18. Kent Daniel & Sheridan Titman, 2006. "Market Reactions to Tangible and Intangible Information," Journal of Finance, American Finance Association, vol. 61(4), pages 1605-1643, August.
    19. Johnson, Robert & Soenen, Luc, 2003. "Indicators of Successful Companies," European Management Journal, Elsevier, vol. 21(3), pages 364-369, June.
    20. John Y. Campbell & Samuel B. Thompson, 2008. "Predicting Excess Stock Returns Out of Sample: Can Anything Beat the Historical Average?," Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1509-1531, July.
    21. Louis K. C. Chan & Josef Lakonishok & Theodore Sougiannis, 2001. "The Stock Market Valuation of Research and Development Expenditures," Journal of Finance, American Finance Association, vol. 56(6), pages 2431-2456, December.
    22. Hirschey, Mark & Richardson, Vernon J., 2004. "Are scientific indicators of patent quality useful to investors?," Journal of Empirical Finance, Elsevier, vol. 11(1), pages 91-107, January.
    23. Pontiff, Jeffrey & Schall, Lawrence D., 1998. "Book-to-market ratios as predictors of market returns," Journal of Financial Economics, Elsevier, vol. 49(2), pages 141-160, August.
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    More about this item

    Keywords

    Intangibles; portfolio comparisons; Sharpe coefficient; benchmarking; growth potential;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • M50 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - General

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