IDEAS home Printed from https://ideas.repec.org/a/eee/ecofin/v25y2013icp293-305.html
   My bibliography  Save this article

Risk premia in multi-national enterprises

Author

Listed:
  • Lutz, Stefan

Abstract

The CAPM implies that investors require equity risk premia when choosing risky investments and therefore demand higher returns to equity invested if higher risk is present. This should apply to investments in independent enterprises and multi-national enterprises alike. This hypothesis is investigated by analyzing a panel of 407,000 European firms for the years 1985 to 2010. When income is set in relation to invested capital, risk measured by earnings volatility emerges as the most important stable determinant of income. Results indicate that both MNEs and independent firms regularly account for risk as a major determinant of income when pricing international goods and services. Hence international taxation rules for multi-national enterprises should account for risk premia in transfer prices and resulting profits.

Suggested Citation

  • Lutz, Stefan, 2013. "Risk premia in multi-national enterprises," The North American Journal of Economics and Finance, Elsevier, vol. 25(C), pages 293-305.
  • Handle: RePEc:eee:ecofin:v:25:y:2013:i:c:p:293-305
    DOI: 10.1016/j.najef.2012.06.016
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1062940812000678
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.najef.2012.06.016?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    2. Stefan Lutz & Daniel Kleinfeldt, 2013. "Risk as Determinant of Income and Cross-border Pricing of Multinational Enterprises," Studies in Microeconomics, , vol. 1(2), pages 185-212, December.
    3. Fama, Eugene F., 1977. "Risk-adjusted discount rates and capital budgeting under uncertainty," Journal of Financial Economics, Elsevier, vol. 5(1), pages 3-24, August.
    4. 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.
    5. André F. Perold, 2004. "The Capital Asset Pricing Model," Journal of Economic Perspectives, American Economic Association, vol. 18(3), pages 3-24, Summer.
    6. Eugene F. Fama & Kenneth R. French, 2004. "The Capital Asset Pricing Model: Theory and Evidence," Journal of Economic Perspectives, American Economic Association, vol. 18(3), pages 25-46, Summer.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hammoudeh, Shawkat & McAleer, Michael, 2013. "Risk management and financial derivatives: An overview," The North American Journal of Economics and Finance, Elsevier, vol. 25(C), pages 109-115.
    2. Stefan Lutz, 2011. "Simultaneous determination of market value and risk premium in the valuation of firms," Economics Discussion Paper Series 1120, Economics, The University of Manchester.
    3. Stefan Lutz & Daniel Kleinfeldt, 2013. "Risk as Determinant of Income and Cross-border Pricing of Multinational Enterprises," Studies in Microeconomics, , vol. 1(2), pages 185-212, December.
    4. Huang, Ying Sophie & Wang, Yizhong, 2013. "Asset price, risk transfer and economic activities: Firm-level evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 663-676.
    5. Stefan Lutz, 2012. "Effects of taxation on European multi-nationals’ financing and profits," Economics Discussion Paper Series 1214, Economics, The University of Manchester.
    6. Stefan Lutz, 2013. "R&D, IP, and firm profits in the automotive supplier industry," Documentos de Trabajo del ICAE 2013-15, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    7. Lutz, Stefan, 2018. "R&D, IP, and firm profits in the North American automotive supplier industry," Working Paper Series 12, Frankfurt University of Applied Sciences, Faculty of Business and Law.
    8. Huang, Hung-Hsi & Wang, Ching-Ping, 2013. "Portfolio selection and portfolio frontier with background risk," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 177-196.
    9. Stefan Lutz, 2014. "Does R&D increase the profit contribution of intangible assets? An exploration of European and American automotive supplierss," Documentos de Trabajo del ICAE 2014-07, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    10. Mina Baliamoune-Lutz & Stefan Lutz, 2017. "Financing and performance of female-owned firms in Middle Eastern and African Economies," Documentos de Trabajo del ICAE 2017-09, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Stefan Lutz, 2012. "Effects of taxation on European multi-nationals’ financing and profits," Economics Discussion Paper Series 1214, Economics, The University of Manchester.
    2. Stefan Lutz & Daniel Kleinfeldt, 2013. "Risk as Determinant of Income and Cross-border Pricing of Multinational Enterprises," Studies in Microeconomics, , vol. 1(2), pages 185-212, December.
    3. Stefan Lutz, 2011. "Simultaneous determination of market value and risk premium in the valuation of firms," ICER Working Papers 15-2011, ICER - International Centre for Economic Research.
    4. Kamal, Javed Bin, 2012. "Optimal portfolio selection in ex ante stock price bubble and furthermore bubble burst scenario from Dhaka stock exchange with relevance to sharpe’s single index model," MPRA Paper 60610, University Library of Munich, Germany.
    5. Petros Messis & Achilleas Zapranis, 2014. "Asset pricing with time-varying betas for stocks traded on S&P 500," Applied Economics, Taylor & Francis Journals, vol. 46(36), pages 4508-4518, December.
    6. Syed Mohammad Faisal & Ahmad Khalid Khan & Omar Abdullah Al Aboud, 2018. "Estimating Beta (¦Â) Values of Stocks in the Creation of Diversified Portfolio - A Detailed Study," Applied Economics and Finance, Redfame publishing, vol. 5(3), pages 89-99, May.
    7. Giovanni Catello Landi & Francesca Iandolo & Antonio Renzi & Andrea Rey, 2022. "Embedding sustainability in risk management: The impact of environmental, social, and governance ratings on corporate financial risk," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 29(4), pages 1096-1107, July.
    8. Hector O. Zapata & Supratik Mukhopadhyay, 2022. "A Bibliometric Analysis of Machine Learning Econometrics in Asset Pricing," JRFM, MDPI, vol. 15(11), pages 1-17, November.
    9. Beaulieu, Marie-Claude & Dufour, Jean-Marie & Khalaf, Lynda, 2010. "Asset-pricing anomalies and spanning: Multivariate and multifactor tests with heavy-tailed distributions," Journal of Empirical Finance, Elsevier, vol. 17(4), pages 763-782, September.
    10. Ignas Gasparaviv{c}ius & Andrius Grigutis, 2024. "The Famous American Economist H. Markowitz and Mathematical Overview of his Portfolio Selection Theory," Papers 2402.10253, arXiv.org.
    11. Albers, Christian & Lamprecht, Dirk, 2007. "Die Bewertung von Joint Ventures mit der Free Cash Flow-Methode unter besonderer Berücksichtigung kooperationsinterner Leistungsbeziehungen," Arbeitspapiere 65, University of Münster, Institute for Cooperatives.
    12. Xiang Lin & Martin Thomas Falk, 2022. "Nordic stock market performance of the travel and leisure industry during the first wave of Covid-19 pandemic," Tourism Economics, , vol. 28(5), pages 1240-1257, August.
    13. Mohamed Es-Sanoun & Jude Gohou & Mounir Benboubker, 2023. "Testing of Herd Behavior In african Stock Markets During COVID-19 Pandemic [Essai de vérification du comportement mimétique dans les marchés boursiers africains au cours de la crise de covid-19]," Post-Print hal-04144289, HAL.
    14. Turan G. Bali & Robert F. Engle & Yi Tang, 2017. "Dynamic Conditional Beta Is Alive and Well in the Cross Section of Daily Stock Returns," Management Science, INFORMS, vol. 63(11), pages 3760-3779, November.
    15. Jozef Baruník & Tobias Kley, 2019. "Quantile coherency: A general measure for dependence between cyclical economic variables," The Econometrics Journal, Royal Economic Society, vol. 22(2), pages 131-152.
    16. Guesmi, Khaled & Nguyen, Duc Khuong, 2011. "How strong is the global integration of emerging market regions? An empirical assessment," Economic Modelling, Elsevier, vol. 28(6), pages 2517-2527.
    17. Mohsen Afsharian & Anna Kryvko & Peter Reichling, 2011. "Efficiency and Its Impact on the Performance of European Commercial Banks," FEMM Working Papers 110018, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
    18. Mohammad Al-Afeef, 2017. "Capital Asset Pricing Model, Theory and Practice: Evidence from USA (2009-2016)," International Journal of Business and Management, Canadian Center of Science and Education, vol. 12(8), pages 182-182, July.
    19. Wildberg, Johannes & Möhring, Bernhard, 2019. "Empirical analysis of the economic effect of tree species diversity based on the results of a forest accountancy data network," Forest Policy and Economics, Elsevier, vol. 109(C).
    20. Ali Habibnia & Esfandiar Maasoumi, 2021. "Forecasting in Big Data Environments: An Adaptable and Automated Shrinkage Estimation of Neural Networks (AAShNet)," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 363-381, December.

    More about this item

    Keywords

    MNE; Firm valuation; DCF; CAPM; Risk premium; Transfer pricing;
    All these keywords.

    JEL classification:

    • G0 - Financial Economics - - General
    • F2 - International Economics - - International Factor Movements and International Business
    • M4 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecofin:v:25:y:2013:i:c:p:293-305. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/620163 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.