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Author: Kenneth J. Merkley Publisher: ISBN: Category : Languages : en Pages : 48
Book Description
We provide archival evidence on how a particular type of supplementary information affects the credibility of management earnings forecasts. Managers often provide detailed forecasts of specific income statement line items to shed light on how they plan to achieve their bottom-line earnings targets. We assess the effect of this forecast disaggregation on the credibility of management earnings forecasts. Based on a relatively large hand-collected sample of 900 management earnings forecasts, we find that disaggregation increases analysts' sensitivity to the news in managers' earnings guidance, suggesting that analysts find the guidance more credible. More importantly, we identify several factors that influence this relation. First, disaggregation plays a more important role when earnings are otherwise more difficult to forecast. Second, disaggregation is more important after Regulation Fair Disclosure prohibited selective disclosure, especially for firms that were more affected because they had previously provided more private guidance. Finally, in contrast to common assertions in the prior literature, we find that in more recent years, disaggregation matters more for guidance that conveys bad news. Managers as well as researchers should be interested in evidence suggesting that financial analysts find disaggregation especially helpful in contexts where managers' credibility is particularly important.
Author: Kenneth J. Merkley Publisher: ISBN: Category : Languages : en Pages : 48
Book Description
We provide archival evidence on how a particular type of supplementary information affects the credibility of management earnings forecasts. Managers often provide detailed forecasts of specific income statement line items to shed light on how they plan to achieve their bottom-line earnings targets. We assess the effect of this forecast disaggregation on the credibility of management earnings forecasts. Based on a relatively large hand-collected sample of 900 management earnings forecasts, we find that disaggregation increases analysts' sensitivity to the news in managers' earnings guidance, suggesting that analysts find the guidance more credible. More importantly, we identify several factors that influence this relation. First, disaggregation plays a more important role when earnings are otherwise more difficult to forecast. Second, disaggregation is more important after Regulation Fair Disclosure prohibited selective disclosure, especially for firms that were more affected because they had previously provided more private guidance. Finally, in contrast to common assertions in the prior literature, we find that in more recent years, disaggregation matters more for guidance that conveys bad news. Managers as well as researchers should be interested in evidence suggesting that financial analysts find disaggregation especially helpful in contexts where managers' credibility is particularly important.
Author: Christopher D. Ittner Publisher: ISBN: Category : Languages : en Pages : 67
Book Description
This study examines the association between a firm's internal information environment and the accuracy of its externally-disclosed management earnings forecasts. Internally, firms use forecasts to plan for uncertain futures. The risk management literature argues that integrating risk-related information into forecasts and plans can improve a firm's ability to forecast future financial outcomes. We investigate whether this internal information manifests itself in the accuracy of external earnings guidance. Using detailed survey data and publicly-disclosed management earnings forecasts from a sample of publicly-traded U.S. companies, we find that more sophisticated risk-based forecasting and planning processes are associated with smaller earnings forecast errors and narrower forecast widths. These associations hold across a variety of different planning horizons (ranging from annual budgeting to long-term strategic planning), providing empirical support for the theoretical link between internal information quality and the quality of external disclosures.
Author: D. Eric Hirst Publisher: ISBN: Category : Languages : en Pages : 50
Book Description
In this paper, we provide a framework in which to view management earnings forecasts. Specifically, we categorize earnings forecasts as having three components - antecedents, characteristics, and consequences that roughly correspond to the timeline associated with an earnings forecast. By evaluating management earnings forecast research within the context of this framework, we render three conclusions. First, forecast characteristics appear to be the least well-understood component of earnings forecasts - both in terms of theory and empirical research - even though it is the component over which managers have the most control. Second, much of the prior research focuses on how one forecast antecedent or characteristic influences forecast consequences and does not study potential interactions among the three components. Third, much of the prior research ignores the iterative nature of management earnings forecasts - that is, forecast consequences of the current period influence antecedents and chosen characteristics in subsequent periods. Implications for researchers as well as educators, managers, investors, and regulators are provided.
Author: Kenneth J. Merkley
Author: Kenneth J. Merkley
Author: Sanjeev Bhojraj
Author: Hwa Deuk Yi
Author: Jong-Hag Choi
Author: Akinobu Shuto
Author: Christopher D. Ittner
Author: Sungyu Sohn
Author: D. Eric Hirst
Author: Timothy D. Cairney
Author: Gregory Brooks Waymire