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Financial Market Data Versus Accounting Data: Which Better Explains Stock Returns?

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  • Nicholas Belesis

    (University of Piraeus)

  • John Sorros

    (University of Piraeus)

  • Alkiviadis Karagiorgos

    (University of Piraeus)

Abstract

This paper presents the comparison of how financial market and accounting data affect stock prices and returns. The goal was to ascertain whether financial information or accounting data dominate in evaluating stock prices. Most valuation techniques used by firms are based on models using either accounting variables (earnings, book value, cash flows, research and development expenses) or financial market data (e.g. beta, market value, interest). The answer is of great importance for valuators and investors as it will help them focus on the most important variables and make better valuations and choices. This answer is also important for accounting standard setters as the preferred method will serve as an indicator for the quality of financial statements and their importance to users. The paper contributes to the existing literature in the fields of value relevance of accounting information and firm valuation and accounting standards (e.g. International Financial Reporting Standards, United States General Accepted Accounting Principles). To answer this question, share prices were estimated based on financial data using the capital asset pricing model and for accounting data, using Ohlson’s model. The results were tested for both methodologies by comparing estimated share prices with actual ones. The greater the correlation between the two variables the better the explanatory power of the model. The focus was on S&P 500 firms for the period 2002–2017.

Suggested Citation

  • Nicholas Belesis & John Sorros & Alkiviadis Karagiorgos, 2020. "Financial Market Data Versus Accounting Data: Which Better Explains Stock Returns?," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 26(1), pages 59-72, February.
  • Handle: RePEc:kap:iaecre:v:26:y:2020:i:1:d:10.1007_s11294-020-09774-4
    DOI: 10.1007/s11294-020-09774-4
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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. Mr. Troy D Matheson, 2013. "The Global Financial Crisis: An Anatomy of Global Growth," IMF Working Papers 2013/076, International Monetary Fund.
    3. Elena Cirmizi & Leora Klapper & Mahesh Uttamchandani, 2012. "The Challenges of Bankruptcy Reform," The World Bank Research Observer, World Bank, vol. 27(2), pages 185-203, August.
    4. Alan Gregory & Walid Saleh & Jon Tucker, 2005. "A UK Test of an Inflation‐Adjusted Ohlson Model," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 32(3‐4), pages 487-534, April.
    5. Kothari, S. P. & Zimmerman, Jerold L., 1995. "Price and return models," Journal of Accounting and Economics, Elsevier, vol. 20(2), pages 155-192, September.
    6. Alan Gregory & Walid Saleh & Jon Tucker, 2005. "A UK Test of an Inflation-Adjusted Ohlson Model," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 32(3-4), pages 487-534.
    7. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    8. 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.
    9. Dechow, Patricia M. & Hutton, Amy P. & Sloan, Richard G., 1999. "An empirical assessment of the residual income valuation model1," Journal of Accounting and Economics, Elsevier, vol. 26(1-3), pages 1-34, January.
    10. Yun Shen & Andrew W. Stark, 2013. "Evaluating the effectiveness of model specifications and estimation approaches for empirical accounting-based valuation models," Accounting and Business Research, Taylor & Francis Journals, vol. 43(6), pages 660-682, December.
    11. Bjorn N. Jorgensen & Yong Gyu Lee & Yong Keun Yoo, 2011. "The Valuation Accuracy of Equity Value Estimates Inferred from Conventional Empirical Implementations of the Abnormal Earnings Growth Model: US Evidence," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 38(3-4), pages 446-471, April.
    12. Young†Soo Choi & John F. O'Hanlon & Peter F. Pope, 2006. "Conservative Accounting and Linear Information Valuation Models," Contemporary Accounting Research, John Wiley & Sons, vol. 23(1), pages 73-101, March.
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    Cited by:

    1. Elena Loredana DINU, 2022. "Assessing methods for the quality of financial and accounting information," Romanian Journal of Economics, Institute of National Economy, vol. 55(2(64)), pages 70-83, December.

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