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Value Investing and Financial Statement Analysis

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  • Noma, Mikiharu
  • 野間, 幹晴

Abstract

This study investigates whether a simple accounting-based fundamental analysis can outperform the market. In this study, I use a fundamental signal (F_SCORE) to discriminate between eventual winners and losers. F_SCORE is based on a combination of traditional fundamentals such as ROA, cash flow from operations, and operating margin. I demonstrate that the mean return can be increased by at least 7.8% through hedging strategy that buys high F_SCORE firms and that shorts low F_SCORE firms. In particular, an investment strategy that buys high book-to-market (BM) firms with high F_SCORE and shorts low BM firms with low F_SCORE earns a 17.6% annual return. In other words the results are robust across a variety of partitions including size, share price, and trading volume. This study reveals that F_SCORE can predict future earnings. Further, empirical results do not support a risk-based explanation for the investment strategy. Overall, the results of the present study suggest that life cycle hypothesis advocated by Lee and Swaminathan[2000] holds true.

Suggested Citation

  • Noma, Mikiharu & 野間, 幹晴, 2010. "Value Investing and Financial Statement Analysis," Hitotsubashi Journal of commerce and management, Hitotsubashi University, vol. 44(1), pages 29-46, October.
    • Handle: RePEc:hit:hitjcm:v:44:y:2010:i:1:p:29-46
    DOI: 10.15057/18701
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    References listed on IDEAS

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    Cited by:

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    2. I-Cheng Yeh & Yi-Cheng Liu, 2020. "Discovering optimal weights in weighted-scoring stock-picking models: a mixture design approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-28, December.
    3. Martin Wichlinski & Rajendra Rajaram, 2019. "The Use of RONA/WACC as a Proxy for Investment Quality," Journal of Economics and Behavioral Studies, AMH International, vol. 10(6), pages 177-185.

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