Value Investing and Financial Statement Analysis

Mikiharu Noma
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引用次数: 6

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.
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价值投资与财务报表分析
本研究探讨了一个简单的基于会计的基本面分析是否可以跑赢市场。在这项研究中,我使用一个基本信号(F_SCORE)来区分最终的赢家和输家。F_SCORE是基于传统基础的组合,如总资产收益率、经营现金流和经营利润率。我证明,通过对冲策略,买入高F_SCORE公司和做空低F_SCORE公司,平均回报可以增加至少7.8%。特别是,购买F_SCORE高账面市值比(BM)公司,卖空F_SCORE低账面市值比(BM)公司的投资策略,年回报率为17.6%。换句话说,结果在包括大小、股价和交易量在内的各种分区上都是健壮的。本研究表明F_SCORE可以预测未来收益。此外,实证结果不支持基于风险的投资策略解释。总的来说,本研究的结果表明,Lee和Swaminathan[2000]提出的生命周期假说是正确的。
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