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Observed and 'Fundamental' Price Earning Ratios: A Comparative Analysis of High-tech Stock Evaluation in the US and in Europe

Author

Listed:
  • Leonardo Becchetti

    (University of Rome II - Faculty of Economics)

  • Michele Bagella

    (University of Rome II - Faculty of Economics)

  • Fabrizio Adriani

    (University of Rome II - Centre for International Studies on Economic Growth (CEIS))

Abstract

By assuming that a large share of investors (which we call fundamentalists) follows a fundamental approach to stock picking, we build a discounted cash flow (DCF) model and test on a sample of high-tech stocks whether the strong and the weak version of the model are supported by data from the US and European stock markets. Empirical results show that "fundamental" earning price ratios explain a significant share of cross sectional variation of the observed E/P ratios, with other additional variables being only partially and weakly relevant. Within this general framework, valid both for Europe and the US, empirical results outline significant differences between the two markets. The most relevant of them is that the relationship between observed and fundamental E/P ratios is much weaker in Europe.

Suggested Citation

  • Leonardo Becchetti & Michele Bagella & Fabrizio Adriani, 2003. "Observed and 'Fundamental' Price Earning Ratios: A Comparative Analysis of High-tech Stock Evaluation in the US and in Europe," CEIS Research Paper 34, Tor Vergata University, CEIS.
  • Handle: RePEc:rtv:ceisrp:34
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    as
    1. repec:bla:jfinan:v:53:y:1998:i:5:p:1563-1587 is not listed on IDEAS
    2. repec:bla:jfinan:v:53:y:1998:i:6:p:1975-1999 is not listed on IDEAS
    3. Grossman, Sanford J & Stiglitz, Joseph E, 1980. "On the Impossibility of Informationally Efficient Markets," American Economic Review, American Economic Association, vol. 70(3), pages 393-408, June.
    4. Fama, Eugene F & French, Kenneth R, 2000. "Forecasting Profitability and Earnings," The Journal of Business, University of Chicago Press, vol. 73(2), pages 161-175, April.
    5. H. Kent Baker & Gary E. Powell & Daniel G. Weaver, 1999. "Does NYSE Listing Affect Firm Visibility?," Financial Management, Financial Management Association, vol. 28(2), Summer.
    6. De Long, J Bradford & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1990. "Noise Trader Risk in Financial Markets," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 703-738, August.
    7. Sethi, Rajiv, 1996. "Endogenous regime switching in speculative markets," Structural Change and Economic Dynamics, Elsevier, vol. 7(1), pages 99-118, March.
    8. Frankel, Jeffrey A & Froot, Kenneth A, 1990. "Chartists, Fundamentalists, and Trading in the Foreign Exchange Market," American Economic Review, American Economic Association, vol. 80(2), pages 181-185, May.
    9. John Y. Campbell, 2000. "Asset Pricing at the Millennium," Journal of Finance, American Finance Association, vol. 55(4), pages 1515-1567, August.
    10. Allen, Helen & Taylor, Mark P, 1990. "Charts, Noise and Fundamentals in the London Foreign Exchange Market," Economic Journal, Royal Economic Society, vol. 100(400), pages 49-59, Supplemen.
    11. 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, American Finance Association, vol. 32(3), pages 663-682, June.
    12. Charles M. C. Lee & James Myers & Bhaskaran Swaminathan, 1999. "What is the Intrinsic Value of the Dow?," Journal of Finance, American Finance Association, vol. 54(5), pages 1693-1741, October.
    13. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
    14. S. Baranzoni & P. Bianchi & L. Lambertini, 2000. "Multiproduct Firms, Product Differentiation, and Market Structure," Working Papers 368, Dipartimento Scienze Economiche, Universita' di Bologna.
    15. Allen, Franklin & Gale, Douglas, 1995. "A welfare comparison of intermediaries and financial markets in Germany and the US," European Economic Review, Elsevier, vol. 39(2), pages 179-209, February.
    16. Bakera, H. Kent & Powell, Gary E. & Weaver, Daniel G., 1999. "The visibility effects of Amex listing," The Quarterly Review of Economics and Finance, Elsevier, vol. 39(3), pages 341-361.
    17. repec:bla:jfinan:v:44:y:1989:i:1:p:135-48 is not listed on IDEAS
    18. Ball, Ray, 1978. "Anomalies in relationships between securities' yields and yield-surrogates," Journal of Financial Economics, Elsevier, vol. 6(2-3), pages 103-126.
    19. Michael Firth & Michael Gift, 1999. "An international comparison of analysis' earnings forecast accuracy," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 5(1), pages 56-64, February.
    20. Franke, Reiner & Sethi, Rajiv, 1998. "Cautious trend-seeking and complex asset price dynamics," Research in Economics, Elsevier, vol. 52(1), pages 61-79, March.
    21. Pilbeam, Keith, 1995. "The Profitability of Trading in the Foreign Exchange Market: Chartists, Fundamentalists, and Simpletons," Oxford Economic Papers, Oxford University Press, vol. 47(3), pages 437-452, July.
    22. Merton H. Miller & Franco Modigliani, 1961. "Dividend Policy, Growth, and the Valuation of Shares," The Journal of Business, University of Chicago Press, vol. 34, pages 411-411.
    23. repec:bla:econom:v:55:y:1988:i:220:p:437-60 is not listed on IDEAS
    24. Rao, Cherukuri U & Litzenberger, Robert H, 1971. "Leverage and the Cost of Capital in a Less Developed Capital Market: Comment," Journal of Finance, American Finance Association, vol. 26(3), pages 777-782, June.
    25. Penman, SH, 1996. "The articulation of price-earnings ratios and market-to-book ratios and the evaluation of growth," Journal of Accounting Research, Wiley Blackwell, vol. 34(2), pages 235-259.
    26. Chung, Kee H. & Jo, Hoje, 1996. "The Impact of Security Analysts' Monitoring and Marketing Functions on the Market Value of Firms," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 31(4), pages 493-512, December.
    27. John G. Cragg & Burton G. Malkiel, 1982. "Expectations and the Structure of Share Prices," NBER Books, National Bureau of Economic Research, Inc, number crag82-1.
    28. Brennan, Michael J & Jegadeesh, Narasimhan & Swaminathan, Bhaskaran, 1993. "Investment Analysis and the Adjustment of Stock Prices to Common Information," The Review of Financial Studies, Society for Financial Studies, vol. 6(4), pages 799-824.
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    Cited by:

    1. Michele Bagella & Leonardo Becchetti & Rocco Ciciretti, 2007. "Market vs. analysts reaction: the effect of aggregate and firm-specific news," Applied Financial Economics, Taylor & Francis Journals, vol. 17(4), pages 299-312.
    2. Leonardo Becchetti & Stefania Di Giacomo, 2007. "Deviations from Fundamentals in US and EU Stock Markets: A Comparative Analysis," The European Journal of Finance, Taylor & Francis Journals, vol. 13(3), pages 195-226.
    3. Michele Bagella & Leonardo Becchetti & Rocco Ciciretti, 2007. "Earning Forecast Error in US and European Stock Markets," The European Journal of Finance, Taylor & Francis Journals, vol. 13(2), pages 105-122.
    4. Ming-Chi Tsai & Ching-Hsue Cheng & Meei-Ing Tsai & Huei-Yuan Shiu, 2018. "Forecasting leading industry stock prices based on a hybrid time-series forecast model," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-24, December.
    5. Ahmed, Mohamed S. & Alhadab, Mohammad, 2020. "Momentum, asymmetric volatility and idiosyncratic risk-momentum relation: Does technology-sector matter?," The Quarterly Review of Economics and Finance, Elsevier, vol. 78(C), pages 355-371.
    6. Laura Arenas & Ana Maria Gil-Lafuente, 2021. "Regime Switching in High-Tech ETFs: Idiosyncratic Volatility and Return," Mathematics, MDPI, vol. 9(7), pages 1-25, March.

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    More about this item

    Keywords

    financial market microstructure; asset pricing;

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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