Decomposing the market, industry, and firm components of profitability: implications for forecasts of profitability

• 成果类型: Article
• 署名作者: Jackson, Andrew B.; Plumlee, Marlene A.; Rountree, Brian R.
• 署名单位: University of New South Wales Sydney; Utah System of Higher Education; University of Utah; Rice University
• 刊物名称: REVIEW OF ACCOUNTING STUDIES
• ISSN/ISSBN: 1380-6653
• DOI: 10.1007/s11142-018-9446-2
• 发表日期: 2018
• 页码: 1071-1095
• 关键词: stock-prices; earnings; INFORMATION; analysts; CLASSIFICATION; persistence; valuation; matter

摘要

Academics and practitioners frequently highlight that overall market and industry performance is an important aspect of a firm's profitability. However, few studies allow for the decomposition of a firm's profitability into market, industry, and idiosyncratic components, and those that do often assume that the market and industry components are cross-sectional constants. In this study, we allow for variation in firm-specific sensitivities to market, industry, and idiosyncratic economic shocks, and then assess whether and when this decomposition results in improved forecasts of profitability. For the overall sample, we find significant improvements in terms of the magnitude of forecast errors and the frequency with which forecasts based on the decomposed values are superior versus forecasts using only total profitability. Across the sample as a whole, decomposing profitability in the forecasting process results in more accurate forecasts greater than two-thirds of the time (increasing to almost 80% within certain subsamples). Our results provide strong support for the role that firm-specific measures of market and industry profitability play in predicting a firm's future performance, as well as highlighting settings where the decomposition provides the greatest benefit in terms of predicting future changes in profitability.