Abstract—We demonstrate the importance of including
macroeconomic information when forecasting firms’ earnings.
Taking Hou et al.’s (2010) cross-sectional model as the starting
point for the analysis, we augment the model with three
macroeconomic factors derived from a principal component
analysis of more than 20 indicators. We find consistent evidence
that macroeconomic conditions should be incorporated when
predicting firms’ future earnings, and particularly in the early
sample period, macroeconomic factors therefore enhance the
predictive accuracy of the model.
Index Terms—Macroeconomic factors, earnings forecast,
principal component analysis.
David C. Broadstock is with the Research Institute of Economics and
Management at the Southwestern University of Finance and Economics,
Chengdu, 610074 China (e-mail: davidbroadstock@swufe.edu.cn). He is
also a associate member of the Surrey Energy Economics Centre based in the
UK.
Shu Yan (corresponding author) is with the Research Institute of
Economics and Management at the Southwestern University of Finance and
Economics, Chengdu, 610074 China (e-mail: shuyan@swufe.edu.cn).
Bing Xu is with the Research Institute of Economics and Management at
the Southwestern University of Finance and Economics, Chengdu, 610074
China (e-mail: xubing@swufe.edu.cn).
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Cite:David C. Broadstock, Yan Shu, and Bing Xu, "Do Macroeconomic Conditions Affect Firm-level Earnings Forecasts?," International Journal of Trade, Economics and Finance vol.2, no.5, pp. 450-454, 2011.