How does managerial perception of uncertainty affect corporate investment during the COVID-19 pandemic: A text mining approach

Ying Chen, Yosuke Kimura and Kotaro Inoue

Pacific-Basin Finance Journal, 2025, vol. 90, issue C

Abstract: We propose a three-phase framework for developing sentence-level measures of uncertainty based on Japanese annual reports using the Bidirectional Encoder Representations from Transformers (BERT) model. This approach successfully distinguishes the uncertainty caused by the COVID-19 pandemic (COVIDU) from economic policy uncertainty (EPU). Furthermore, we control for firm-level business expectations (first moment effect) and examine the impact of managerial uncertainty perception (second moment effect) on corporate investment. We obtain the following two key results: First, our uncertainty perception measures strongly correlate with the proxy variable of dispersion in managerial sales forecasts, which is a frequently used measure of uncertainty. Second, corporate investment is strongly and robustly negatively related to higher uncertainty perception, with a 1-standard-deviation increase in sentences associated with uncertainty leading to a 3.57 % reduction in capital expenditure. We demonstrate the robustness of our results to the endogeneity problem by using instrumental variables.

Keywords: BERT model; Uncertainty perception; Corporate investment; COVID-19 pandemic (search for similar items in EconPapers)
JEL-codes: D21 D81 E22 G31 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:pacfin:v:90:y:2025:i:c:s0927538x24004074

DOI: 10.1016/j.pacfin.2024.102655

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