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Abnormal returns using accounting information within a value portfolio

Author

Listed:
  • Pradip Banerjee
  • Soumya G. Deb

Abstract

Purpose - This paper investigates whether a simple accounting information-based fundamental analysis strategy could identify winners from losers within a portfolio of high book-to-market (value) stocks, over the last decade in the Indian equity market, where historically, information disclosure and transparency levels have been on the lower side. Design/methodology/approach - Using a sample of ‘value’ firms, the authors formulate an ‘F-score’ for each firm as the sum of binary signals (favourable and unfavourable), with respect to nine key variables. The authors then form ten equal size F-score portfolios within the value band for each year, and track the performance of robust high F-score firmsvis-à-visthat of weaker low F-score firms. Findings - The study highlights that the historical success of a value strategy, in general, relies on the strong performance of a few firms while ‘tolerating the poor performance of many deteriorating companies’ within the broad value group and shows that firms with strong fundamentals within the value group outperform their less robust counterparts, based on absolute as well as risk adjusted measures. Practical implications - The results of the study show that strong performers can indeed be distinguished from underperformers within the broad category of value stocks. This can have significant implications for investors at large in the Indian equity market. Originality/value - The study suggests an approach to identify potential winners within a broad ‘value’ portfolio using an array of accounting information, even in a relatively less transparent Indian equity market.

Suggested Citation

  • Pradip Banerjee & Soumya G. Deb, 2017. "Abnormal returns using accounting information within a value portfolio," Accounting Research Journal, Emerald Group Publishing Limited, vol. 30(01), pages 73-88, May.
  • Handle: RePEc:eme:arjpps:arj-01-2015-0003
    DOI: 10.1108/ARJ-01-2015-0003
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    Citations

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    Cited by:

    1. Irfan Safdar & Michael Neel & Babatunde Odusami, 2022. "Accounting information and left-tail risk," Review of Quantitative Finance and Accounting, Springer, vol. 58(4), pages 1709-1740, May.
    2. Pilch Bartłomiej, 2023. "Is value investing based on scoring models effective? The verification of F-Score-based strategy in the Polish stock market," Economics and Business Review, Sciendo, vol. 9(4), pages 121-152, December.

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