Detalhes bibliográficos
| Ano de defesa: |
2019 |
| Autor(a) principal: |
Ferreira, Leonel Carlos Dias
 |
| Orientador(a): |
Marion, José Carlos |
| Banca de defesa: |
Não Informado pela instituição |
| Tipo de documento: |
Dissertação
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| Tipo de acesso: |
Acesso aberto |
| Idioma: |
por |
| Instituição de defesa: |
Pontifícia Universidade Católica de São Paulo
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| Programa de Pós-Graduação: |
Programa de Estudos Pós-Graduados em Ciências Contábeis e Atuariais
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| Departamento: |
Faculdade de Economia, Administração, Contábeis e Atuariais
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| País: |
Brasil
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| Palavras-chave em Português: |
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| Palavras-chave em Inglês: |
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| Área do conhecimento CNPq: |
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| Link de acesso: |
https://tede2.pucsp.br/handle/handle/22771
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Resumo: |
Accounting information forms the basis for the formation of market expectations, influencing the measurement of the value of entities, and this phenomenon is described in the literature as informativeness. Based on the relevance of the accounting information, the complexity of the national tax system, with unique characteristics compared to other countries and estimates made by investment analysts, which use the information presented in the financial statements subject to earnings management, In particular, tax management, the main objective of this study is to analyze how the income tax information reported in the financial statements influences the forecast of investment analysts who cover companies listed in B3 belonging to the financial sector, in particular, the prediction of Earnings per Share (LPA or EPS). The methodology employed consists of empirical-positive descriptive research, adapting Carvalho's (2015) theoretical model, and data were collected on the Thomson Reuters Eikon ® and Economática ® platform. Panel data regression was applied, which was unbalanced, and the models were run with robust standard error for heteroscedasticity correction. The sector classification used comes from the Global Industry Classification Standard (GICS), specifically sector 40 (Financials). The main results point to the usefulness of tax information in forecasting profits and stock returns. There are also effects of Book-tax differences (BTD) on the forecast of securities analysts, with low explanatory power (adjusted R2 of 0.16956) and little but statistically significant influence represented by the BTD estimator. ; thus corroborating what is presented in the international literature, which also found low explanatory power and little influence. On the other hand, it has been found that tax smoothing affects the quality of analysts' forecasts, represented by error and accuracy, having a marked effect on accuracy |
