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Books on the topic 'Earnings forecasts'

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Published: 4 June 2021
Last updated: 29 January 2023

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1

O'Brien, Patricia C. Analysts' forecasts as earnings expectations. Cambridge, Mass: Sloan School of Management, Massachusetts Institute of Technology, 1987.

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2

O'Brien, Patricia C. Analyst's forecasts as earnings expectations. Cambridge, Mass: Massachusetts Institute of Technology, 1985.

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3

O'Brien, Patricia C. Analyst's forecasts as earnings expectations. Cambridge, Mass: Sloan School of Management, Massachusetts Institute of Technology, 1986.

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4

Jennings, Robert H. Reaction of financial analysts to management earnings forecasts. Charlottesville, Va. (P.O. Box 3665, Charlottesville 22903): Financial Analysts Research Foundation, 1985.

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5

Walsh, Joseph P. Revisions in earnings per share forecasts and common stock returns. Dublin: University College Dublin, 1994.

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6

Koch, Adam Stuart. Financial distress and the credibility of management earnings forecasts. Ann Arbor, Mich: UMI Dissertation Services, 2003.

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7

Chan, Louis K. C. Analysts' conflict of interest and biases in earnings forecasts. Cambridge, Mass: National Bureau of Economic Research, 2003.

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8

Moses, O. Douglas. Analysts earnings forecasts: An alternative data source for failure prediction. Monterey, California: Naval Postgraduate School, 1986.

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9

Wong, Ying Ying. Accuracy and credibility of earnings forecasts in IPOs - evidence in Hong Kong. Manchester: UMIST, 1998.

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10

Ziebart, David Allen. Evidence regarding divergence of analysts' forecasts of annual earnings per share: Does consensus increase as the forecast horizon declines? [Urbana]: College of Commerce and Business Administration,University of Illinois at Urbana-Champaign, 1986.

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11

Ziebart, David Allen. Evidence regarding divergence of analysts' forecasts of annual earnings per share: Does consensus increase as the forecast horizon declines? [Urbana]: College of Commerce and Business Administration,University of Illinois at Urbana-Champaign, 1986.

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12

Fildes, Robert. Efficient use of information by financial analysts in the formation of short term earnings forecasts. Manchester: Manchester Business School, 1990.

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13

Luttman, Suzanne M. The net impact of corporate seasonality on the accuracy of earnings forecasts published by financial analysts. [Urbana, Ill.]: College of Commerce and Business Administration, University of Illinois at Urbana-Champaign, 1989.

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14

Wu, Anne. International conferences accounting papers collection: Papers on earnings forecasts, business combinations, JIT, and job stress for accounting employees. [Taipei, Taiwan: Cheng Yih Culture Enterprise Co., 1993.

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15

Gell, Sebastian. Determinants of Earnings Forecast Error, Earnings Forecast Revision and Earnings Forecast Accuracy. Wiesbaden: Gabler Verlag, 2012. http://dx.doi.org/10.1007/978-3-8349-3937-1.

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16

Klettke, Tanja. New Determinants of Analysts’ Earnings Forecast Accuracy. Wiesbaden: Springer Fachmedien Wiesbaden, 2014. http://dx.doi.org/10.1007/978-3-658-05634-6.

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17

Liu, Chao-Shin. Evidence regarding the stock market's overreaction to management earning forecasts. Champaign: University of Illinois at Urbana-Champaign, 1992.

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18

Moses, O. Douglas. Tests of the usefulness of analyst earnings forecast data in predicting bankruptcy of public corporations. Monterey, Calif: Naval Postgraduate School, 1986.

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19

Heng, Gillian Yeo Hian. The effect of self-selection bias on the testing of a stock price reaction to management earning forecasts. Champaign: University of Illinois at Urbana-Champaign, 1992.

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20

O'Brien, Patricia C. Analyst's Forecasts As Earnings Expectations. Creative Media Partners, LLC, 2018.

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21

1943-, Belkaoui Ahmed, ed. Prediction performance of earnings forecasts. Patrington: Barmarick, 1998.

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22

Bondt, Werner F. De. Earnings Forecasts and Share Price Reversals. Assn for Investment Management &, 1992.

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23

O'Brien, Patricia C. An empirical analysis of forecasts of earnings per share. 1986.

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24

Security Analyst Multi-Year Earnings Forecasts and the Capital Market. American Accounting Association, 1985.

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25

Jones, Sam, and Ricardo Santos. Updating great expectations: The effect of peer salary information on own-earnings forecasts. UNU-WIDER, 2020. http://dx.doi.org/10.35188/unu-wider/2020/895-5.

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How jobseekers set their earnings expectations is central to job search models. To study this process, we track the evolution of own-earnings forecasts over 18 months for a representative panel of university-leavers in Mozambique and estimate the impact of a wage information intervention. We sent participants differentiated messages about the average earnings of their peers, obtained from prior survey rounds. Demonstrating the stickiness of (initially optimistic) beliefs, we find an elasticity of own-wage expectations to this news of around 7 per cent in the short term and 16 per cent over the long term, which compares to a 22 per cent elasticity in response to unanticipated actual wage offers. We further find evidence of heterogeneous updating heuristics, where factors such as the initial level of optimism, cognitive skills, perceived reliability of the information, and valence of the news shape how wage expectations are updated. We recommend institutionalizing public information about earnings.
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26

Gell, Sebastian. Determinants of Earnings Forecast Error, Earnings Forecast Revision and Earnings Forecast Accuracy. Gabler Verlag, 2012.

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27

Gell, Sebastian. Determinants of Earnings Forecast Error, Earnings Forecast Revision and Earnings Forecast Accuracy. Westdeutscher Verlag GmbH, 2012.

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28

Young, Susan M. Financial Analysts. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190269999.003.0007.

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Financial analysts are important players in the marketplace. Analysts’ reports, which include forecasts of earnings and stock recommendations, move market prices. Investors, both large and small, rely on the information in reports when forming their investment decisions. Given the relevance of financial analysts’ research, understanding whether their reports are biased is important. Despite an increase in market regulation, evidence suggests that analysts’ reports are biased. Research also finds that analysts’ bias increases when information uncertainty is high. Thus, investors should understand the possible dangers in blindly relying on research by financial analysts.
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29

Klettke, Tanja. New Determinants of Analysts' Earnings Forecast Accuracy. Springer Gabler. in Springer Fachmedien Wiesbaden GmbH, 2014.

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30

Klettke, Tanja. New Determinants of Analysts' Earnings Forecast Accuracy. Springer Fachmedien Wiesbaden GmbH, 2014.

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31

Guan, Yuyan. Understanding analysts' reactions to earnings management: Evidence from forecast revisions. 2006.

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32

Conroy, Robert M. Analysts' earnings forecast accuracy in Japan and the United States. Research Foundation of the Institute of Chartered Financial Analysts, 1994.

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