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Languages : en
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This paper reports new findings from applying portfolio method, which shows a much bigger earnings impact on share prices (ERC) compared to the erstwhile reports of ERC using individual events, averaged over the sample. We estimate cumulative abnormal returns, CAR, across a test window for each quarterly earnings announcement event across one accounting year. The CARs are then regressed against earnings changes of individual firms and portfolios. The findings show a significant positive CAR when earnings increases; and a negative CAR if earnings declines. The ERC is very small in the test period of 2001-14, which is consistent with published results for years before 2000. The ERC size magnifies substantially due to the grouping effect used through portfolio formation. What is significant is that the use of portfolio method, by removing the idiosyncratic errors, show a price response very close to the size of earnings (i.e., ERC of 0.93) with a very high R-square of 75 percent. The last evidence supports strongly the value relevance accounting theory that has not seen much support from averaging the price responses of individual event responses.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
This paper reports new findings from applying portfolio method, which shows a much bigger earnings impact on share prices (ERC) compared to the erstwhile reports of ERC using individual events, averaged over the sample. We estimate cumulative abnormal returns, CAR, across a test window for each quarterly earnings announcement event across one accounting year. The CARs are then regressed against earnings changes of individual firms and portfolios. The findings show a significant positive CAR when earnings increases; and a negative CAR if earnings declines. The ERC is very small in the test period of 2001-14, which is consistent with published results for years before 2000. The ERC size magnifies substantially due to the grouping effect used through portfolio formation. What is significant is that the use of portfolio method, by removing the idiosyncratic errors, show a price response very close to the size of earnings (i.e., ERC of 0.93) with a very high R-square of 75 percent. The last evidence supports strongly the value relevance accounting theory that has not seen much support from averaging the price responses of individual event responses.
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Languages : en
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Book Description
The importance of earnings response coefficient (ERC) research arises mainly from the need to enhance confidence of a firm's stakeholders in accounting information announcements, especially the equity investors, enabling them to make informed stock decisions. Due to the significance of this subject, this paper provides a review of the extant ERC literature and expounds on its evolution and development of the relevant theories, offers perspectives, and highlights the models used since 1968 when the earnings-to-returns relationship first became prominent. The study also evaluates the application of the ERC perspective and highlights the main empirical findings and also elucidates on related research methodologies applied to date and incorporates the relevant explicit and implied critiques. The main research results found while conducting this review supports the relevance of accounting information announcements to stock price formations, and therefore enhancing the confidence of investors and firm's stakeholders in such announcements (Ball & Brown, 1968; Collins & Kothari, 1989; Cheng, 1994; Kothari et al., 2010; Ariff et al., 2011; Hwang & Zhang, 2012; Patatoukas, 2013; Mostafa & Dixon, 2013; Al-Baidhani et al., 2017). Researchers also calculated and evaluated relevant ERCs using different methods such as event study method and regression methods, and applying different approaches such as individual stocks approach and portfolios approach, as detailed in this review. In addition to the enhancement of the stakeholders' confidence in the accounting information, this review paper will be useful to financial accounting standards setters and contributes to a holistic understanding of the literature on earnings-to-returns relationship.
Author: Krishnamoorthy Ramesh
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ISBN:
Category : Corporate profits
Languages : en
Pages : 262
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Author: Si Xie
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Category : Business forecasting
Languages : en
Pages : 82
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Author: Charles I. Harter
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Category :
Languages : en
Pages : 218
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Author: Nandkumar Nayar
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Category :
Languages : en
Pages : 23
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We provide a rigorous and comprehensive set of derivations of earnings response coefficient models in levels and changes forms. Reverse return coefficient models are also derived. The models all are variants on the present value of dividends model of stock prices. Most of these models do not appear in the literature or appear only implicitly. We start with the simplest 100 percent payout model and work up to IMA (1,1) processes for earnings. We also model the case in which the information set is more than earnings. The approach introduced in this article provides a firm basis for further extensions.
Author: 江泓葦
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Category :
Languages : en
Pages : 0
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Author: Wikil Kwak
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Category :
Languages : en
Pages : 204
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Author: Douglas Clifford Cerf
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Category :
Languages : en
Pages : 248
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Author: Norman C. Strong
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Category :
Languages : en
Pages :
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We extend the Kothari-Zimmerman (1993) study of price- earnings models to a more general accounting based valuation model. In this more general setting earnings response coefficients are not usually equal to the reciprocal of the firm's cost of equity capital. Moreover the price-earnings models considered by Kothari and Zimmerman (1993) can lead to upward biased estimates of the true earnings response coefficient. Using data for UK companies we first replicate the findings of Kothari and Zimmerman and then present new evidence that rejects the simple price earnings model in favour of the general model.
