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Equity Values and Prediction of Earnings with Disaggregation of Earnings in India

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  • Pooja Kumari
  • Chandra Sekhar Mishra

Abstract

This article examined the relative performance of aggregated and disaggregated earnings for valuation of equity and prediction of earnings in India. We measured three levels of earnings disaggregation: aggregate earnings, total accruals and cash flows, and four major constituents of accruals, then we estimated pooled as well as individual industry-wise regressions. We adopted Barth, Beaver, Hand and Landsman’s (1999, Review of Accounting Studies, 4 (3, 4), 205–229; 2005, Journal of Accounting, Auditing & Finance, 20 (4), 311–345) linear information structure grounded on generalized version of Ohlson (1999) model. We compared our results with the studies based on developed market. Our findings say that aggregated earnings and its disaggregated components are value relevant, and the adjusted R -squares of every next disaggregated systems are higher than aggregated systems, but in varying range across industries. We also find that the investors are not capable of judging total accruals and cash flows separately for investment decisions in this emerging market.

Suggested Citation

  • Pooja Kumari & Chandra Sekhar Mishra, 2020. "Equity Values and Prediction of Earnings with Disaggregation of Earnings in India," Global Business Review, International Management Institute, vol. 21(4), pages 990-1010, August.
    • Handle: RePEc:sae:globus:v:21:y:2020:i:4:p:990-1010
    DOI: 10.1177/0972150918779167
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