Do Industry-Level Analyses Improve Forecasts of Financial Performance?

被引:76
作者
Fairfield, Patricia M. [1 ]
Ramnath, Sundaresh [2 ]
Yohn, Teri Lombardi [3 ]
机构
[1] Georgetown Univ, Washington, DC 20057 USA
[2] Univ Miami, Coral Gables, FL 33124 USA
[3] Indiana Univ, Bloomington, IN 47405 USA
关键词
STOCK-PRICE BEHAVIOR; CAPITAL-MARKETS RESEARCH; PREDICTING EARNINGS; RETURN; TESTS; MODEL; COST; PROFITABILITY; INFORMATION; COMPETITION;
D O I
10.1111/j.1475-679X.2008.00313.x
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Prior research documents mean reversion in firm profitability and growth under the implicit assumption that profitability and growth of all firms revert to a common benchmark at the same rate. However, a large body of academic research suggests that there are systematic interindustry differences (e.g., industry barriers to entry) that differentially affect firm performance based on industry membership. We evaluate the relative forecast accuracy of mean reverting models at the industry and economywide levels and find that industry-specific models are generally more accurate in predicting firm growth but not profitability.
引用
收藏
页码:147 / 178
页数:32
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