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Dan Givoly

Researcher at Pennsylvania State University

Publications -  48
Citations -  7034

Dan Givoly is an academic researcher from Pennsylvania State University. The author has contributed to research in topics: Earnings & Equity (finance). The author has an hindex of 25, co-authored 47 publications receiving 6654 citations. Previous affiliations of Dan Givoly include University of California, Irvine & Tel Aviv University.

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The changing time-series properties of earnings, cash flows and accruals: Has financial reporting become more conservative?

TL;DR: In the absence of a generally accepted definition of conservatism, a number of measures of reporting conservatism are identified and examined in this paper, which rely on the accumulation of nonoperating accruals, the timeliness of earnings with respect to bad and good news, characteristics of the earnings distribution and the market-to-book ratio.
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The Rewards to Meeting or Beating Earnings Expectations

TL;DR: The authors found that firms that meet or beat current analysts' earnings expectations (MBE) enjoy a higher return over the quarter than firms with similar quarterly earnings forecast errors that fail to meet these expectations.
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Financial analysts' forecasts of earnings: A better surrogate for market expectations

TL;DR: In this paper, the authors evaluate the quality of analysts' forecasts as surrogates for the market expectation of earnings and compare it with that of prediction models commonly used in research and find that prediction errors of analysts are more closely associated with security price movements, suggesting that analyst's forecasts provide a better surrogate for market expectations than forecasts generated by time-series models.
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The information content of financial analysts' forecasts of earnings: Some evidence on semi-strong inefficiency

TL;DR: In this article, the authors assess the information content of revisions in financial analysts' forecasts of earnings by analyzing the relation between the direction of these revisions and stock price behavior and find that information on revisions in forecasts of EPS is valuable to investors.
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Measuring Reporting Conservatism

TL;DR: The authors examined the power and reliability of the differential timeliness (DT) measure developed by Basu (1997) to gauge reporting conservatism and found that it is sensitive to the degree of uniformity in the content of the news during the examined period, the types of events occurring in the period, and firms' disclosure policies.