IDEAS home Printed from https://ideas.repec.org/p/wpa/wuwpfi/0404014.html

Intangibles Y Valoracion De Empresas: Evidencia Empirica

Author

Listed:
  • Fernando Rubio

    (FERNCAPITAL S.A.)

Abstract

Existe un diferencial entre el valor de mercado del patrimonio y el valor contable. Este se relaciona a los activos intangibles. Un análisis de regresión, permite concluir que el retorno total al inversor, la rentabilidad sobre activos y las utilidades totales, en conjunto con alguna (todas están altamente correlacionadas) de las medidas que se indicaran, son capaces de explicar el 60% del diferencial. Las medidas surgen de la encuesta anual realizada por la revista Fortune e intentan medir las empresas más admiradas. Ellas son: Calidad de los directivos; Valor de largo plazo de la inversión; Calidad de los empleados; Uso de activos. Otra medida, la solidez financiera, absorbe el poder explicativo de dichas variables pero está muy correlacionada con las utilidades totales. En general, el diferencial podría explicarse fundamentalmente por la solidez financiera de la empresa y el factor humano en la misma. Sin embargo, un importante 40% permanece sin explicar.

Suggested Citation

  • Fernando Rubio, 2004. "Intangibles Y Valoracion De Empresas: Evidencia Empirica," Finance 0404014, University Library of Munich, Germany.
    • Handle: RePEc:wpa:wuwpfi:0404014
    Note: Type of Document - pdf; pages: 21
    as

    Download full text from publisher

    File URL: https://econwpa.ub.uni-muenchen.de/econ-wp/fin/papers/0404/0404014.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Banz, Rolf W., 1981. "The relationship between return and market value of common stocks," Journal of Financial Economics, Elsevier, vol. 9(1), pages 3-18, March.
    Full references (including those not matched with items on IDEAS)

    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. Radosław Kurach, 2013. "Does Beta Explain Global Equity Market Volatility – Some Empirical Evidence," Contemporary Economics, Vizja University, vol. 7(2), June.
    2. Abugri, Benjamin A. & Dutta, Sandip, 2014. "Are we overestimating REIT idiosyncratic risk? Analysis of pricing effects and persistence," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 249-259.
    3. John H. Cochrane, 1999. "New facts in finance," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 23(Q III), pages 36-58.
    4. 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.
    5. Wen, Danyan & Zhang, Zihao & Nie, Jing & Cao, Yang, 2024. "Investor attention and anomalies: Evidence from the Chinese stock market," International Review of Financial Analysis, Elsevier, vol. 96(PB).
    6. Seguin, P. J. & Smoller, M. M., 1997. "Share price and mortality: An empirical evaluation of newly listed Nasdaq stocks," Journal of Financial Economics, Elsevier, vol. 45(3), pages 333-363, September.
    7. Cakici, Nusret & Zaremba, Adam, 2022. "Salience theory and the cross-section of stock returns: International and further evidence," Journal of Financial Economics, Elsevier, vol. 146(2), pages 689-725.
    8. Horowitz, Joel L. & Loughran, Tim & Savin, N. E., 2000. "The disappearing size effect," Research in Economics, Elsevier, vol. 54(1), pages 83-100, March.
    9. Azzi, Sarah & Bird, Ron, 2005. "Prophets during boom and gloom downunder," Global Finance Journal, Elsevier, vol. 15(3), pages 337-367, February.
    10. Chendi Ni & Yuying Li & Peter A. Forsyth, 2023. "Neural Network Approach to Portfolio Optimization with Leverage Constraints:a Case Study on High Inflation Investment," Papers 2304.05297, arXiv.org, revised May 2023.
    11. Wolfgang Aussenegg & Andreas Grünbichler, 1999. "Der Size-Effekt am Österreichischen Aktienmarkt," Schmalenbach Journal of Business Research, Springer, vol. 51(7), pages 636-661, July.
    12. Ahmad Fraz & Arshad Hassan, 2017. "Stock Price Synchronicity and Information Environment," Business & Economic Review, Institute of Management Sciences, Peshawar, Pakistan, vol. 9(4), pages 213-232, December.
    13. repec:dau:papers:123456789/2514 is not listed on IDEAS
    14. Ladislav Kristoufek & Paulo Ferreira, 2018. "Capital asset pricing model in Portugal: Evidence from fractal regressions," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 17(3), pages 173-183, November.
    15. Tuomo Vuolteenaho, 2002. "What Drives Firm‐Level Stock Returns?," Journal of Finance, American Finance Association, vol. 57(1), pages 233-264, February.
    16. Semenov, Andrei, 2021. "Measuring the stock's factor beta and identifying risk factors under market inefficiency," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 635-649.
    17. Amir Hussain & Zia Obaid & Sajid Afridi, 2011. "Testing of CAPM in An Emerging Economy: A Case Study of Pakistan," Business & Economic Review, Institute of Management Sciences, Peshawar, Pakistan, vol. 3(2), pages 143-153, October.
    18. repec:bla:germec:v:11:y:2010:i::p:441-464 is not listed on IDEAS
    19. Narayan, Paresh Kumar & Sharma, Susan Sunila, 2011. "New evidence on oil price and firm returns," Journal of Banking & Finance, Elsevier, vol. 35(12), pages 3253-3262.
    20. Hadhri, Sinda & Younus, Mehak & Naeem, Muhammad Abubakr & Yarovaya, Larisa, 2025. "Listening to the Market: Music sentiment and cryptocurrency returns," Journal of International Money and Finance, Elsevier, vol. 157(C).
    21. Tim Bollerslev & Sophia Zhengzi Li & Viktor Todorov, 2014. "Roughing up Beta: Continuous vs. Discontinuous Betas, and the Cross-Section of Expected Stock Returns," CREATES Research Papers 2014-48, Department of Economics and Business Economics, Aarhus University.
    22. Tai, Chu-Sheng, 2003. "Are Fama-French and momentum factors really priced?," Journal of Multinational Financial Management, Elsevier, vol. 13(4-5), pages 359-384, December.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:wpa:wuwpfi:0404014. 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: EconWPA The email address of this maintainer does not seem to be valid anymore. Please ask EconWPA to update the entry or send us the correct address (email available below). General contact details of provider: https://econwpa.ub.uni-muenchen.de .

    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.