Journal article
Management Forecasting Ability and Predictive Ability of Dividend Changes for Future Earnings
Journal of accounting, auditing & finance, p148558
11 Dec 2021
Abstract
We revisit the predictive ability of dividend changes for firms' future earnings and extend the literature by examining the effect of management forecasting ability. Although prior studies have examined the relationship between dividend changes and future earnings, the empirical evidence is mixed. The belief that dividend changes have implications for future earnings depends on the assumption that managers can accurately assess future earnings prospects. In this regard, we posit that the predictive ability of dividends can vary with managers' forecasting ability. Analyzing a large sample of Japanese dividend-paying firms, we find that dividend changes, particularly dividend increases, are positively associated with increases in future earnings. Consistent with our hypothesis, this positive association is more pronounced for firms with high-forecasting ability managers. Our findings support the signaling theory of dividend changes and indicate that management forecasting ability has a moderating effect on the linkage between firms' dividend changes and future earnings.
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Details
- Title
- Management Forecasting Ability and Predictive Ability of Dividend Changes for Future Earnings
- Creators
- Hsihui Chang - Drexel UniversitySouhei Ishida - Rikkyo UniversityTakuma Kochiyama - Hitotsubashi University
- Publication Details
- Journal of accounting, auditing & finance, p148558
- Publisher
- Sage
- Number of pages
- 28
- Grant note
- 19K13848 / Ministry of Education, Culture, Sports, Science, and Technology of Japan; Ministry of Education, Culture, Sports, Science and Technology, Japan (MEXT)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Accounting
- Web of Science ID
- WOS:000730287900001
- Scopus ID
- 2-s2.0-85121115461
- Other Identifier
- 991019168566204721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Business, Finance