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DC FieldValueLanguage
dc.contributorSchool of Accounting and Financeen_US
dc.contributor.advisorOhlson, James (AF)en_US
dc.contributor.advisorZhao, Jing (AF)en_US
dc.creatorZhai, Weihuan-
dc.identifier.urihttps://theses.lib.polyu.edu.hk/handle/200/11997-
dc.languageEnglishen_US
dc.publisherHong Kong Polytechnic Universityen_US
dc.rightsAll rights reserveden_US
dc.titleAbnormal accounting growth and analyst forecastsen_US
dcterms.abstractAnalysts center on a firm's business growth to forecast earnings. The more uncertainty in growth, the more difficult for analysts to forecast. Therefore, forecasts are more dispersed and less accurate. To evaluate this hypothesis, this paper structures the content of uncertainty in growth and integrates them into one metric: abnormal accounting growth (AAG). AAG captures two dimensions of uncertainty in growth: 1) the uncertainty from the disagreement across various growth rates and 2) the uncertainty from the deviation of the firm-specific mean to the grand mean. Validity tests show that AAG materially and incrementally contributes to traditional risk metrics: the volatility of weekly return and market beta. Empirical results confirm that high AAG distinctly explains high forecast dispersion and low forecast accuracy. Besides traditional determinants AAG's explanatory power is incremental. In addition, when earnings surprise is negative or loss occurs, it is more difficult to forecast. Accordingly, the effect of AAG on forecast dispersion and accuracy is magnified. This work emphasizes that 1) the disagreement across growth rates and 2) high or low growth both are risky. Through AAG, this work complements the understanding of how uncertainty in growth affects forecasting performance.en_US
dcterms.extent55 pages : illustrationsen_US
dcterms.isPartOfPolyU Electronic Thesesen_US
dcterms.issued2022en_US
dcterms.educationalLevelPh.D.en_US
dcterms.educationalLevelAll Doctorateen_US
dcterms.LCSHBusiness forecastingen_US
dcterms.LCSHCorporate profits -- Forecastingen_US
dcterms.LCSHHong Kong Polytechnic University -- Dissertationsen_US
dcterms.accessRightsopen accessen_US

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Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/11997