El sentimiento de los inversores sobre el tamaño en los múltiplos de valoración europeos

  1. Gracia Rubio Martín 1
  1. 1 Universidad Complutense de Madrid
    info

    Universidad Complutense de Madrid

    Madrid, España

    ROR 02p0gd045

Journal:
Cuadernos de economía: Spanish Journal of Economics and Finance

ISSN: 2340-6704 0210-0266

Year of publication: 2019

Volume: 42

Issue: 119

Pages: 173-188

Type: Article

DOI: 10.32826/CUDE.V42I119.86 DIALNET GOOGLE SCHOLAR lock_openBiblos-e Archivo editor

More publications in: Cuadernos de economía: Spanish Journal of Economics and Finance

Abstract

The aim of this paper is to bring a new perspective to the role of control factors in MARKET-EBITDA, MARKET-SALES and MARKET-BOOK ratios in the European market, which are different from industry. We analyze the role of size and its interactions with the rest of the variables: profitability, risk, and structural asset factors. For this purpose, we have developed a valuation model using panel data methodology for listed European firms from the period 2002-2013. We found that size includes economic aspects of the companies, but also differen-tial investors’ perceptions about these economic aspects. It is a complementary explanation factor on the selection of the peer group with the rest of the variables. These findings help to understand the variation of market ratios and share prices depending on size in different economic conditions or economic cycles. This research is in accordance with the theoretical framework of market ratios and with size effect theory.

Bibliographic References

  • Alford, A. W. (1992). “The Effect of the Set of Comparable Firms on the Accuracy of the Price-Earnings Valuation Method.” Journal of Accounting Research, 30, 94-108.
  • Allison, P. D. (2009). Fixed effects regression models (Vol. 160). SAGE publications.
  • Bollerslev, T. (1986), “Generalized Autoregressive Conditional Heteroskedasticity”, Journal of Econometrics, 31, 307-327.
  • Baker, M. and R. S. Ruback. (1999). “Estimating Industry Multiples.” Working paper, Harvard University, Cambridge, MA.
  • Banz, R. W. (1981). “The Relationship between Return and Market Value of Common Stocks.” Journal of Financial Economics, 9, 3-18.
  • Bajaj, M., Denis, D. J., Ferris, S. P., & Sarin, A. (2001). Firm value and marketability discounts. J. Corp. L., 27, 89.
  • Barber, B. M. and J. D. Lyon (1997). “Detecting Long-Run Abnormal Stock Returns: The Empirical Power and Specification of Test Statistics.” Journal of Financial Economics, 43, 341-372.
  • Barth, M. E., & Clinch, G. (2009). “Scale effects in capital market-based accounting research.” Journal of Business Finance & Accounting, 36(3-4), 253-288.
  • Basu, S. (1977). “Investment Performance of Common Stocks in Relation to Their Price-Earnings Ratios: A Test of the Efficient Market Hypothesis”. Journal of Finance, 32, 663-682.
  • Basu, S. (1983). "The Relationship between Earnings Yield, Market Value, and Return for NYSE Common Stocks: Further Evidence." Journal of Financial Economics, 12, 129-156.
  • Beatty, R. P., S. M. Riffe, and R. Thompson. (1999). “The Method of Comparables and Tax Court Valuations of Private Firms: An Empirical Investigation.” Accounting Horizon, 13, 177-199.
  • Bernard, V. L. and J. K. Thomas. (1990). "Evidence that Stock Prices Do Not Fully Reflect the Implications of Current Earnings for Future Earnings." Journal of Accounting and Economics, 13, 305-340.
  • Bhojraj, S., & Lee, C. (2002). "Who is my peer? A valuationbased approach to the selection of comparable firms. " Journal of Accounting Research, 40(2), 407-439.
  • Brown, G. W., & Cliff, M. T. (2004). “Investor sentiment and the near-term stock market.” Journal of empirical finance. 11(1), 1-27.
  • Brav, A. and P. A. Gompers. (1997). “Myth or Reality? The Long-Run Underperformance of Initial Public Offerings: Evidence from Venture and Nonventure Capital-Backed Companies.” Journal of Finance, 52, 1791-1820.
  • Cheng, C. A., & McNamara, R. (2000). “The valuation accuracy of the price-earnings and price-book benchmark valuation methods.” Review of Quantitative Finance and Accounting, 15(4), 349-370.
  • Chullen, A., Kaltenbrunner, H., and Schwetzler, B. (2015). “Does Consistency Improve Accuracy in Multiple Based Valuation?.” Journal of Business Economics 85(6), 635662.
  • De Franco, G., Hope, O. K., & Larocque, S. (2015). “Analysts’ choice of peer companies.” Review of Accounting Studies, 20(1), 82-109.
  • Demirakos, E.G., Strong, N.C., and Walker, M. (2010). “Does Valuation Model Choice Affect Target Price Accuracy?.” European Accounting Review 19(1), 35-72.
  • Elnathan, D., Gavious, I., & Hauser, S. (2010). “An analysis of private versus public firm valuations and the contribution of financial experts.” The International Journal of Accounting, 45(4), 387-412.
  • Fama, E. F. (1970). “Efficient Capital Markets: A Review of Theory and Empirical Work.” Journal of Finance, 25, 383-417.
  • Fama, E. F. (1998). “Market Efficiency, Long-Term Returns, and Behavioral Finance.” Journal of Financial Economics, 49, 283-306.
  • Fama, E. F. and K. R. French (1992). “The Cross-Section of Expected Stock Returns.” Journal of Finance, 47, 427465.
  • Fama, E. F., & French, K. R. (2012). “Size, value, and momentum in international stock returns.” Journal of financial economics, 105(3), 457-472.
  • French, K. R., Schwert, G. W., & Stambaugh, R. F. (1987). “Expected stock returns and volatility.” Journal of Financial Economics, 19(1), 3-29.
  • Grossman, S. J. and J. E. Stiglitz. (1980) “On the Impossibility of Informationally Efficient Markets.” American Economic Review, 70, 393-408.
  • Gu, Z. (2005): “Scale Factor, R2, the Choice of Levels versus Returns Models”, Journal of Accounting, Auditing, & Finance, 20 (1), 71–91.
  • Hand, J. R. M. (2005). “The value relevance of financial statements in the venture capital market.” The Accounting Review, 80, 613−648.
  • Hoechle, D. (2007). “Robust standard errors for panel regressions with cross-sectional dependence”. Stata Journal, 7(3), 281.
  • Jing Liu, Doron Nissim and Jacob Thomas (2002) “Equity Valuation Using Multiples.” Journal of Accounting Research, 40, 135-172
  • Kaplan, S. N. and R. S. Ruback. (1995). “The Valuation of Cash Flow Forecasts: An Empirical Analysis.” Journal of Finance, 50, 1059-1093.
  • Kim, M. and J. Ritter. (1999). “Valuing IPOs.” Journal of Financial Economics, 53, 409-437.
  • Lee, C. M., Ma, P., & Wang, C. C. (2015). “Search-based peer firms: Aggregating investor perceptions through internet co-searches.” Journal of Financial Economics, 116(2), 410-431.
  • LECLAIR, M. S. (1990)."Valuing the Closely-Held Corporation: The Validity and Performance of Established Valuation Procedures." Accounting Horizons (September), 31-42.
  • Lie, E., & Lie, H. J. (2002). “Multiples used to estimate corporate value”. Financial Analysts Journal, 58(2), 44-54.
  • Lintner, J. (1965). “The Valuation of Risk Assets and the Selection of Risky Investments in Stock Portfolios and Capital Budgets”. Review of Economics and Statistics. 47, 13-37.
  • Liu, J., Nissim, D., & Thomas, J. (2007). “Is Cash Flow King in Valuations”. Financial Analyst Journal, Volume 63, 56-65.
  • Loughran, T. and J. R. Ritter. (1995). “The New Issues Puzzle.” Journal of Finance, 50, 23-51.
  • Loughran, T. and J. R. Ritter. (2000). “Uniformly Least Powerful Tests of Market Efficiency.” Journal of Financial Economics, 55, 361-389.
  • Mitchell, M. L. and E. Stafford. (2000). “Managerial Decisions and Long-Term Stock Price Performance.” Journal of Business, 73, 287-329.
  • Mundlak, Y. (1978). “On the pooling of time series and cross section data.” Econometrica, 46, 69-85.
  • Nel, W. S., & le Roux, N. J. (2015). “An Optimal Peer Group Selection Strategy for Multiples-Based Modelling in the South African Equity Market”. Journal of Economics and Behavioral Studies, 7(3), 30.
  • Officer, M. S. (2007). The price of corporate liquidity: “Acquisition discounts for unlisted targets”. Journal of Financial Economics, 83(3), 571-598.
  • Ohlson, J. A. (1990). "A Synthesis of Security Valuation Theory and the Role of Dividends, Cash Flows, and Earnings." Contemporary Accounting Research, 6(2), 648-76.
  • Reinganum M., 1999 “The Significance of Market Capitalization in Portfolio Management over Time.” The Journal of Portfolio Management, 25(4), 39-50.
  • Rubio-Martín, G., Paredes, M. R., & Acín, J. A. M. (2013). “La escasa relevancia de la información contable sobre los activos intangibles en la valoración de las empresas innovadoras españolas.” Revista de Métodos Cuantitativos para la Economía y la Empresa, 16, 68.
  • Schreiner, A., & Spremann, K. (2007). Multiples and their valuation accuracy in European equity markets. Available at SSRN 957352.
  • Schunck, R. (2013). “Within and between estimates in random-effects models: Advantages and drawbacks of correlated random effects and hybrid models.” Stata Journal, 13(1), 65-76.
  • Sharpe, W. F. (1964). “Capital Asset Prices: A Theory of Market Equilibrium under Conditions of Risk.” Journal of Finance. 19, 425-442.
  • Shiller, R. J. (2003). “From efficient markets theory to behavioral finance.” Journal of economic perspectives, 17(1), 83-104.
  • Stattman, D. (1980). "Book Value and Stock Returns". The Chicago MBA: A Journal of Selected Papers, Chicago: University of Chicago, 4(1), 24-45.
  • Stauropoulos, A., Samaras, I., and Arsenos, P. (2011). “The Accuracy of Multiples.” American Journal of Applied Sciences 8(8), 816-821.
  • Stauropoulos, A., Samaras, I., and Arsenos, P. (2012). “Equity Valuation with the Use of Multiples.” American Journal of Applied Sciences 9(81), 60-65.
  • Van Dijk, M. A. (2011). “Is size dead? A review of the size effect in equity returns.” Journal of Banking & Finance, 35(12), 3263-3274.
  • Young, S., & Zeng, Y. (2015). “Accounting comparability and the accuracy of peer-based valuation models.” The Accounting Review, 90(6), 2571-2601.
  • Weber, S. (2010). “Bacon: An effective way to detect outliers in multivariate data using Stata (and Mata).” Stata Journal, 10(3), 331.
  • Wooldridge, J. M. (2010). Econometric analysis of cross section and panel data. MIT press.