Academic literature on the topic 'Earnings forecasts'

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Journal articles on the topic "Earnings forecasts"

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Keung, Edmund C. "Do Supplementary Sales Forecasts Increase the Credibility of Financial Analysts’ Earnings Forecasts?" Accounting Review 85, no. 6 (November 1, 2010): 2047–74. http://dx.doi.org/10.2308/accr.2010.85.6.2047.

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ABSTRACT: This study examines whether the market reacts more strongly to earnings forecast revisions when financial analysts supplement their earnings forecasts with sales forecasts. I find that earnings forecast revisions supplemented with sales forecast revisions have a greater impact on security prices than do stand-alone earnings forecast revisions, controlling for the incremental information content in sales forecasts. Supplemented earnings forecasts are more accurate ex post, controlling for other individual analyst characteristics. Results are robust to controlling for earnings persiste
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Wawryszuk-Misztal, Anna. "Earnings forecasts errors in prospectuses: evidence from initial public offerings on the Warsaw Stock Exchange." Equilibrium 12, no. 2 (June 30, 2017): 229. http://dx.doi.org/10.24136/eq.v12i2.12.

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Research background: Several studies investigated the issue of accuracy of earnings fore-casts disclosed in IPO prospectus because of its importance in the investor’s decisions. Disclosing earnings forecasts can reduce information asymmetry and encourage potential investors to buy offered shares. The accuracy of earnings forecasts, and especially its deter-minants, was explored by some researchers, but for Polish companies such studies have not been conducted.Purpose of the article: The first objective of this study is to examine the bias and accuracy of earnings forecasts disclosed in IPO pro
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Zhang, Jin, and Haeyoung Shin. "Are Analysts Overoptimistic about the Prospects of Sin Firms?" International Journal of Financial Research 8, no. 4 (September 11, 2017): 99. http://dx.doi.org/10.5430/ijfr.v8n4p99.

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We investigate the association between the bias and accuracy of consensus analysts’ earnings forecasts and whether a firm is a sin firm or not. We measure analyst forecast bias as the difference between the consensus earnings forecast and the actual earnings, scaled by the stock price. We measure analyst forecast accuracy as the negative of the absolute value of the difference between the firms’ forecasted and actual earnings, scaled by the stock price. We find a positive association between the level of forecast optimism and sin firm membership. We find a negative association between the leve
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Berger, Philip G., Charles G. Ham, and Zachary R. Kaplan. "Do Analysts Say Anything About Earnings Without Revising Their Earnings Forecasts?" Accounting Review 94, no. 2 (June 1, 2018): 29–52. http://dx.doi.org/10.2308/accr-52164.

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ABSTRACT Analysts are selective about which forecasts they update and, thus, convey information about current quarter earnings even when not revising the current quarter earnings (CQE) forecast. We find that (1) textual statements, (2) share price target revisions, and (3) future quarter earnings forecast revisions all predict error in the CQE forecast. We document several reasons analysts sometimes omit information from the CQE forecast: to facilitate beatable forecasts by suppressing positive news from the CQE forecast, to herd toward the consensus, and to avoid small forecast revisions. We
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Eames, Michael, and Steven Glover. "Earnings Predictability And Broker-Analysts’ Earnings Forecast Bias." Journal of Applied Business Research (JABR) 33, no. 6 (November 1, 2017): 1285–302. http://dx.doi.org/10.19030/jabr.v33i6.10061.

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Scholars have reasoned that analysts issue optimistic forecasts to improve their access to managers’ private information when earnings are unpredictable. While this requires a managerial preference for analyst forecast optimism, the observed walk-down of analyst expectations to beatable forecasts is consistent with a managerial preference for pessimism in short-horizon forecasts. Using data from various sample periods, alternative model specifications, and various measures of earnings unpredictability, we find that pessimism, not optimism, in short-horizon forecasts is associated with increasi
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Chi, Yu-Ho, and David A. Ziebart. "Benefits of management disclosure precision on analysts’ forecasts." Review of Accounting and Finance 13, no. 4 (November 4, 2014): 371–99. http://dx.doi.org/10.1108/raf-06-2012-0061.

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Purpose – The purpose of this paper is to examine the impact of management’s choice of forecast precision on the subsequent dispersion and accuracy of analysts’ earnings forecasts. Design/methodology/approach – Using a sample of 3,584 yearly management earnings per share (EPS) forecasts and 10,287 quarterly management EPS forecasts made during the period of 2002-2007 and collected from the First Call database, the authors controlled for factors previously found to impact analysts’ forecast accuracy and dispersion and investigate the link between management forecast precision and attributes of
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Brown, Lawrence D., and Kelly Huang. "Recommendation-Forecast Consistency and Earnings Forecast Quality." Accounting Horizons 27, no. 3 (April 1, 2013): 451–67. http://dx.doi.org/10.2308/acch-50482.

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SYNOPSIS: We investigate the implications of recommendation-forecast consistency for the informativeness of stock recommendations and earnings forecasts and the quality of analysts' earnings forecasts. Stock recommendations and earnings forecasts are often issued simultaneously and evaluated jointly by investors. However, the two signals are often inconsistent with each other. Defining a recommendation-forecast pair as consistent if both of them are above or below their existing consensus, we find that 58.3 percent of recommendation-forecast pairs are consistent in our sample. We document that
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Ciftci, Mustafa, and Feras M. Salama. "Stickiness in Costs and Voluntary Disclosures: Evidence from Management Earnings Forecasts." Journal of Management Accounting Research 30, no. 3 (November 1, 2017): 211–34. http://dx.doi.org/10.2308/jmar-51966.

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ABSTRACT We investigate the relationship between cost stickiness and management earnings forecasts. Prior research suggests that earnings are more volatile for sticky cost firms resulting in greater earnings forecast errors. The greater forecast errors might increase investors' demand for information and induce managers to issue earnings forecasts. Alternatively, managers might refrain from issuing earnings forecasts for sticky cost firms because greater forecast errors might damage managers' credibility and adversely affect their job security. We find that cost stickiness is positively associ
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Lobo, Gerald J., Minsup Song, and Mary Harris Stanford. "The Effect of Analyst Forecasts during Earnings Announcements on Investor Responses to Reported Earnings." Accounting Review 92, no. 3 (August 1, 2016): 239–63. http://dx.doi.org/10.2308/accr-51556.

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ABSTRACT Despite the increased frequency of analyst forecasts during earnings announcements, empirical evidence on the interaction between the information in the earnings announcement and these forecasts is limited. We examine the implications of reinforcing and contradicting analyst forecast revisions issued during earnings announcements (days 0 and +1) on the market response to unexpected earnings. We classify forecast revisions as reinforcing (contradicting) when the sign of analyst forecast revisions agrees (disagrees) with the sign of unexpected earnings. We document larger (smaller) earn
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Yeo, Gillian Hian Heng, and David A. Ziebart. "An Empirical Test of the Signaling Effect of Management's Earnings Forecasts: A Decomposition of the Earnings Surprise and Forecast Surprise Effects." Journal of Accounting, Auditing & Finance 10, no. 4 (October 1995): 787–802. http://dx.doi.org/10.1177/0148558x9501000406.

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When corporate management issues an earnings forecast there are potentially two surprises. One potential surprise is that a forecast was issued and the other is the surprise in the earnings forecast. Accordingly, the observed stock market reaction to management earnings forecasts may be due to one or the other, or both. This study decomposes the cross-sectional variability in stock market reactions to management earnings forecasts into the portions attributable to the forecast surprise and the earnings surprise. The results indicate that the market's reaction is a function of both the earnings
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Dissertations / Theses on the topic "Earnings forecasts"

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Packard, Heidi A. "Are long-term earnings targets forecasts?" Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/117997.

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Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, 2018.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 37-39).<br>This paper examines whether earnings targets used in long-term performance-based compensation plans predict future performance. Using a sample of targets from long-term grants made to CEOs from 2007 to 2012, I find that earnings targets provide information about future earnings outcomes; however, analysts do not respond to the information targets provide at the time of disclosure. Rather, I find analysts prima
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Wang, X. (Xin). "Earnings management to meet analysts’ forecasts." Master's thesis, University of Oulu, 2016. http://urn.fi/URN:NBN:fi:oulu-201606082469.

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The object of this thesis is to investigate the tool of earnings management firms use to meet analysts’ forecasts and then provide evidence for setting slightly meet and slightly miss as indicator of earnings management. Managers have sort of incentives to meet analysts’ forecasts. In the prior literature, managers have more motivations to meet analysts’ forecasts through earnings management than real activities. I argue that managers will manipulate discretionary accruals in order to beat analysts’ forecasts. And I also argue that slightly meet and slightly miss could be an indicator of earni
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Shaikh, Sarah. "Managerial Career Concerns and Earnings Forecasts." Diss., The University of Arizona, 2015. http://hdl.handle.net/10150/556588.

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Using a novel setting, I examine the relation between a CEO's career concerns and the provision of an annual earnings forecast. Specifically, I exploit staggered changes in non-compete enforcement laws in three U.S. states as a source of exogenous variation in a CEO’s career concerns. Consistent with theory suggesting that career concerns increase a manager's aversion to risk, I find that a CEO is less likely to issue an earnings forecast in periods of stricter non-compete enforcement. Further, cross-sectional analyses indicate that the lower probability of forecast issuance is more pronounced
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Smith, Kevin R. "Earnings Management Constraints and Market Reactions to Subsequent Earnings Surprises." Diss., Tucson, Arizona : University of Arizona, 2005. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu%5Fetd%5F1051%5F1%5Fm.pdf&type=application/pdf.

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Jackson, Andrew Blair Accounting Australian School of Business UNSW. "Stock return volatility surrounding management earnings forecasts." Awarded by:University of New South Wales. Accounting, 2010. http://handle.unsw.edu.au/1959.4/44839.

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The primary aim of this study is to investigate the stock return volatility surrounding management earnings forecasts. Disclosure by managers of expected earnings are particularly important communications, and as such, it is important to understand the capital market implications surrounding them. In doing so, the research questions are essentially aimed at examining the stock return volatility, first, at the release of a management earnings forecast, and second, at the eventual announcement of the realised earnings for that period. The first test investigates whether there is an increase i
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Runyan, Bruce Wayne. "The effect of multinationality on management earnings forecasts." Texas A&M University, 2003. http://hdl.handle.net/1969.1/2272.

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This study examines the relationship between a firm??s degree of multinationality and its managers?? earnings forecasts. Firms with a high degree of multinationality are subject to greater uncertainty regarding earnings forecasts due to the additional risk resulting from the more complex multinational environment. Prior research demonstrates that firms that fail to meet or beat market expectations experience disproportionate market losses at earnings announcement dates. The complexities and greater uncertainty resulting from higher levels of multinationality are expected to be negatively assoc
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Trinh, Chau Thi My. "Earnings forecasts : model development, evaluation and theoretical analysis." Thesis, University of Bristol, 2015. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.686827.

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Earnings forecasts are an important input for equity valuation and asset allocation decision. Nevertheless, there are many contradictory findings about the most accurate model as well as the best proxy for the market expectation of future earnings in the literature. Hence, with the aim of providing solutions to these problems, this thesis comprises four main studies of different issues related to forecasting earnings.
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Markarian, Garen. "Analyst Forecasts, Earnings Management, and Insider Trading Patterns." Case Western Reserve University School of Graduate Studies / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=case1102058931.

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Kala, Tejshree. "Does the manager matter to users of management earnings forecasts?" Phd thesis, Canberra, ACT : The Australian National University, 2018. http://hdl.handle.net/1885/148174.

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Prior research provides evidence on how manager attributes affect characteristics of management earnings forecasts and how firm characteristics affect market participants’ perception of the credibility of management earnings forecasts. Using a manager-firm matched panel dataset, this thesis examines whether the perceived credibility of management earnings forecasts, as measured by investors’ and analysts’ responses to management earnings forecasts news, are influenced by: (1) the forecasting track records of individual managers, and (2) manager attr
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Cairney, Timothy D. "Credibility of annual management earnings forecasts : theory and evidence /." Diss., This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-06062008-164623/.

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Books on the topic "Earnings forecasts"

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

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

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

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

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

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

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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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Book chapters on the topic "Earnings forecasts"

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Amel-Zadeh, Amir, and Geoff Meeks. "Earnings forecasts accompanying a bid." In Accounting for M&A, 142–71. Abingdon, Oxon; New York, NY: Routledge, 2020. | Series: Routledge studies in accounting: Routledge, 2020. http://dx.doi.org/10.4324/9780429326103-9.

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Klettke, Tanja. "Analysts’ issuance of supplementary forecasts as determinant of earnings forecast accuracy." In New Determinants of Analysts’ Earnings Forecast Accuracy, 45–87. Wiesbaden: Springer Fachmedien Wiesbaden, 2014. http://dx.doi.org/10.1007/978-3-658-05634-6_3.

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Tsumuraya, Shoichi. "Effects of Biased Earnings Forecasts: Comparative Study of Earnings Forecasts Disclosures by US and Japanese Firms." In International Perspectives on Accounting and Corporate Behavior, 311–30. Tokyo: Springer Japan, 2014. http://dx.doi.org/10.1007/978-4-431-54792-1_14.

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Galloppo, Giuseppe, and Mauro Aliano. "Alternative Neural Network Approaches for Enhancing Stock Picking Using Earnings Forecasts." In Asset Pricing, Real Estate and Public Finance over the Crisis, 77–96. London: Palgrave Macmillan UK, 2013. http://dx.doi.org/10.1057/9781137293770_6.

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Suzuki, Tomohiro. "Management Incentives to Publish Aggressive or Conservative Earnings Forecasts and Disclosure Policy Change." In International Perspectives on Accounting and Corporate Behavior, 285–309. Tokyo: Springer Japan, 2014. http://dx.doi.org/10.1007/978-4-431-54792-1_13.

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Gell, Sebastian. "Introduction." In Determinants of Earnings Forecast Error, Earnings Forecast Revision and Earnings Forecast Accuracy, 1–8. Wiesbaden: Gabler Verlag, 2012. http://dx.doi.org/10.1007/978-3-8349-3937-1_1.

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Gell, Sebastian. "Determinants of earnings forecast errors." In Determinants of Earnings Forecast Error, Earnings Forecast Revision and Earnings Forecast Accuracy, 9–20. Wiesbaden: Gabler Verlag, 2012. http://dx.doi.org/10.1007/978-3-8349-3937-1_2.

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Gell, Sebastian. "Using forecast errors to explain revisions." In Determinants of Earnings Forecast Error, Earnings Forecast Revision and Earnings Forecast Accuracy, 21–70. Wiesbaden: Gabler Verlag, 2012. http://dx.doi.org/10.1007/978-3-8349-3937-1_3.

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Gell, Sebastian. "Impact of forecast effort and investment advice on accuracy." In Determinants of Earnings Forecast Error, Earnings Forecast Revision and Earnings Forecast Accuracy, 71–108. Wiesbaden: Gabler Verlag, 2012. http://dx.doi.org/10.1007/978-3-8349-3937-1_4.

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Gell, Sebastian. "Concluding remarks." In Determinants of Earnings Forecast Error, Earnings Forecast Revision and Earnings Forecast Accuracy, 109–11. Wiesbaden: Gabler Verlag, 2012. http://dx.doi.org/10.1007/978-3-8349-3937-1_5.

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Conference papers on the topic "Earnings forecasts"

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Jotaki, Hiroaki, Hiroshi Takahashi, Yasuo Yamashita, and Takao Terano. "Corroboration Effect of Current Net Earnings and Management’s Net Earnings Forecasts in Japan’s Corporate Bond Market." In 2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC). IEEE, 2017. http://dx.doi.org/10.1109/compsac.2017.95.

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Lianjing, Zhao, and Li Ping. "Does earning management meet analysts' forecasts? — A perspective of earnings surprises of Chinese listed companies." In 2011 International Conference on E-Business and E-Government (ICEE). IEEE, 2011. http://dx.doi.org/10.1109/icebeg.2011.5882116.

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Hu, Zhi-ying, and Chen-yu Li. "An Empirical Study of Market Reaction to Earnings Forecasts Revision." In 2010 International Conference on Internet Technology and Applications (iTAP). IEEE, 2010. http://dx.doi.org/10.1109/itapp.2010.5566646.

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Wang, Yuxi, and Jun Xiao. "A Study on Relationship between Analysts' Earnings Forecasts Accuracy and Recommendations Investment Value." In 2012 International Conference on Business Computing and Global Informatization (BCGIN). IEEE, 2012. http://dx.doi.org/10.1109/bcgin.2012.14.

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Chen, Rongrong, and Yuanhui Li. "Do the Stock Exchange Comment Letters Affect the Accuracy of Analysts’ Earnings Forecasts?" In 6th Annual International Conference on Social Science and Contemporary Humanity Development (SSCHD 2020). Paris, France: Atlantis Press, 2021. http://dx.doi.org/10.2991/assehr.k.210121.123.

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Guojing and Li Wenxing. "Heterogeneity of analyst teams and accuracy of earnings forecasts-based on OLS regression model." In 2020 2nd International Conference on Economic Management and Model Engineering (ICEMME). IEEE, 2020. http://dx.doi.org/10.1109/icemme51517.2020.00158.

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Xian-hua, Zhou, Brooks Robert, and Chen Gao-cai. "Does the market reaction to former information influence the future voluntary disclosure of earnings forecasts — Evidence from the Chinese a-share market." In 2010 International Conference on Management Science and Engineering (ICMSE). IEEE, 2010. http://dx.doi.org/10.1109/icmse.2010.5719969.

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Ma, Lisha, and Xianwei Lu. "Does Team Make Better Earnings Forecast?: Evidence from China." In 2015 Joint International Social Science, Education, Language, Management and Business Conference. Paris, France: Atlantis Press, 2015. http://dx.doi.org/10.2991/jisem-15.2015.39.

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Gbakon, Kaase, Joseph Ajienka, Joshua Gogo, and Omowumi Iledare. "Oil Production Forecasting Models and Oil End-Use Optimization Framework under Global Energy Transition Dynamics." In SPE Nigeria Annual International Conference and Exhibition. SPE, 2022. http://dx.doi.org/10.2118/211967-ms.

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Abstract This paper reviews oil (and gas) supply forecasting models and subsequently espouses atypical modeling approaches for the optimal allocation of crude oil production. This paper becomes imperative within the context of the global energy transition and the future of the oil and gas industry in Africa in general and Nigeria, in particular. A categorization framework has been utilized to classify oil supply forecasting models based on regional focus, modelling techniques, and outcomes. The log – log functional form is adopted in this paper to forecast oil production in Nigeria and subsequ
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Uddin, Ajim, Xinyuan Tao, Chia-Ching Chou, and Dantong Yu. "Nonlinear Tensor Completion Using Domain Knowledge: An Application in Analysts' Earnings Forecast." In 2020 International Conference on Data Mining Workshops (ICDMW). IEEE, 2020. http://dx.doi.org/10.1109/icdmw51313.2020.00059.

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Reports on the topic "Earnings forecasts"

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Chan, Louis K., Jason Karceski, and Josef Lakonishok. Analysts' Conflict of Interest and Biases in Earnings Forecasts. Cambridge, MA: National Bureau of Economic Research, March 2003. http://dx.doi.org/10.3386/w9544.

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Vargas-Herrera, Hernando, Juan Jose Ospina-Tejeiro, Carlos Alfonso Huertas-Campos, Adolfo León Cobo-Serna, Edgar Caicedo-García, Juan Pablo Cote-Barón, Nicolás Martínez-Cortés, et al. Monetary Policy Report - April de 2021. Banco de la República de Colombia, July 2021. http://dx.doi.org/10.32468/inf-pol-mont-eng.tr2-2021.

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1.1 Macroeconomic summary Economic recovery has consistently outperformed the technical staff’s expectations following a steep decline in activity in the second quarter of 2020. At the same time, total and core inflation rates have fallen and remain at low levels, suggesting that a significant element of the reactivation of Colombia’s economy has been related to recovery in potential GDP. This would support the technical staff’s diagnosis of weak aggregate demand and ample excess capacity. The most recently available data on 2020 growth suggests a contraction in economic activity of 6.8%, lowe
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