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Prior Forecasting Accuracy and Investor Reaction to Management Earnings Forecasts

Prior Forecasting Accuracy and Investor Reaction to Management Earnings Forecasts
Author: Amy P. Hutton
Publisher:
Total Pages: 46
Release: 2009
Genre:
ISBN:

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We examine the properties of firms' forecasting records and whether the accuracy of their prior earnings forecasts affects investor response to their subsequent forecasts. Within the context of a Bayesian model of investor learning, we find that the stock price response to management forecast news is increasing in prior forecast accuracy and also in the length of a firm's forecasting record. Further, we document that investors are more responsive to extreme good and bad news forecasts when a firm has an established forecasting record. Overall, these results suggest that a firm's prior forecasting behavior allows it to establish a forecasting reputation.


The Joint Effect of Management's Prior Forecast Accuracy and the Form of its Financial Forecasts on Investor Judgment

The Joint Effect of Management's Prior Forecast Accuracy and the Form of its Financial Forecasts on Investor Judgment
Author: D. Eric Hirst
Publisher:
Total Pages: 30
Release: 2000
Genre:
ISBN:

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We examine how investor reaction to management earnings forecasts is a joint function of the form of the forecast and management's perceived credibility. In a laboratory experiment involving 126 individual investors, we compare investors' earnings predictions and their confidence therein after receiving point and closed range forecasts issued by managements whose previous forecasting accuracy is known to be either high or low. We used point and range forecasts, because they differ in the degree to which they communicate management's uncertainty about the future. We use management's prior forecasting accuracy as a measure of management's credibility, because prior research has documented the importance of this factor when considering the usefulness of management's voluntary forecasts.Our results show that, as expected, investors' earnings predictions are responsive to management's forecasts. However, as we hypothesized, forecast form did not influence investors' earnings estimates. In contrast, investors' confidence in their earnings predictions was influenced by the form of management's forecasts, but this effect emerged only when management was previously accurate in their forecasting. A similar interactive pattern was found in the dispersion of investors' predictions about the company's future earnings. Finally, consistent with the hypothesis that confidence is an important determinant of investor behavior, we find that investors' judgments of future stock price appreciation are a positive function of both unexpected earnings and the change in their confidence.Our study extends the literature on management forecasts by empirically testing the joint influence of management's credibility (i.e., forecasting accuracy) and forecast form. The prior literature has argued that both factors should be important, but has not delineated whether or how these two factors might interact. We present a theoretical framework that indicates when both factors should influence investor judgment.


Management Earnings Forecasts

Management Earnings Forecasts
Author: Hwa Deuk Yi
Publisher:
Total Pages: 236
Release: 1994
Genre: Corporate profits
ISBN:

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The Effect of Macro Information Environment Change on the Quality of Management Earnings Forecasts

The Effect of Macro Information Environment Change on the Quality of Management Earnings Forecasts
Author: Stephen P. Baginski
Publisher:
Total Pages: 32
Release: 2014
Genre:
ISBN:

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The 1990s were characterized by substantial increases in the performance of and investor reliance on financial analysts. Because managers possess superior private information and issue forecasts to align investors' expectations with their own, we predict that managers increased the quality of their earnings forecasts during the 1990s in order to keep pace with the improved forward-looking information provided by financial analysts, upon which investors increasingly relied.Using a sample of 2,437 management earnings forecasts, we document an increase in management earnings forecast precision, management earnings forecast accuracy, and managers' tendency to explain earnings forecasts in 1993-1996 relative to 1983-1986. Given that these forecast characteristics are linked to greater informativeness and credibility, we also document that the information content of management earnings forecasts, as measured by the strength of share price responses to forecast news, increased in 1993-1996 relative to 1983-1986. As expected, the increased information content of management forecasts primarily occurred for firms covered by financial analysts.


Why Do Managers Explain Their Earnings Forecasts?

Why Do Managers Explain Their Earnings Forecasts?
Author: Stephen P. Baginski
Publisher:
Total Pages: 29
Release: 2014
Genre:
ISBN:

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Managers often explain their earnings forecasts by linking forecasted performance to their internal actions and the actions of parties external to the firm. These attributions potentially aid investors in the interpretation of management forecasts by confirming known relationships between attributions and profitability or by identifying additional causes that investors should consider when forecasting earnings. We investigate why managers choose to provide attributions with their forecasts and whether the attributions are related to security price reactions to management earnings forecasts. Using a sample of 951 management earnings forecasts issued from 1993 to 1996, we find that attributions are more likely for larger firms, less likely for firms in regulated industries, less likely for forecasts issued over longer horizons, more likely for bad news forecasts, and more likely for forecasts that are maximum type. Furthermore, attributions are associated with greater absolute price reactions to management forecasts, more negative price reactions to management forecasts (forecast news held constant), and a greater price reaction per dollar of unexpected earnings. Our findings hold after control for the aforementioned determinants of attributions and after control for other firm- and forecast-specific variables that are often associated with security prices.


Management Earnings Forecasts

Management Earnings Forecasts
Author: D. Eric Hirst
Publisher:
Total Pages: 50
Release: 2008
Genre:
ISBN:

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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.