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Heterogeneity in the dynamic effects of uncertainty on investment

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  • Sung Je Byun
  • Soojin Jo

Abstract

We examine how aggregate profit uncertainty influences capital investment activities, focusing on heterogeneous responses of firms. We model aggregate profit uncertainty as the conditional standard deviation of a common factor across unforecasted fluctuations in the sales growth of different industries and exploit cross‐sectional variations for its estimation. From an investment forecasting model that coherently analyzes firm‐ or group‐specific effects of uncertainty, we find that the direction and the size of investment adjustment vary considerably across firms, with a significant but small negative average impact. Our results highlight the importance of accounting for heterogeneity in the transmission of uncertainty, allowing us to reconcile different views on the effect of uncertainty in the existing literature. Dans quelle mesure l’incertitude agrégée entourant les profits influence‐t‐elle les décisions d’investissement de l’entreprise? Les auteurs proposent une adaptation parcimonieuse d’un modèle autorégressif conditionnellement hétéroscédastique à facteurs pour exploiter des données sur le chiffre d’affaires d’un panel de sous‐secteurs et parvenir à une estimation à la fois efficiente et maniable de la volatilité agrégée. La mesure de l’incertitude ainsi obtenue est ensuite intégrée à un modèle de prévision de l’investissement dans lequel cette variable interagit avec des coefficients propres aux entreprises. Les auteurs constatent qu’une plus grande incertitude à l’égard des profits amène en général les firmes à abaisser leurs dépenses en immobilisations, mais à des degrés très variables selon leur taille : les entreprises petites et grandes limiteraient beaucoup plus leurs investissements que les firmes de taille moyenne, ce qui témoigne de l’hétérogénéité importante qui caractérise le mécanisme de transmission de l’incertitude.

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  • Sung Je Byun & Soojin Jo, 2018. "Heterogeneity in the dynamic effects of uncertainty on investment," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 51(1), pages 127-155, February.
  • Handle: RePEc:wly:canjec:v:51:y:2018:i:1:p:127-155
    DOI: 10.1111/caje.12318
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    2. Alessandro Paolo Rigamonti & Giulio Greco & Mariarita Pierotti & Alessandro Capocchi, 2024. "Macroeconomic uncertainty and earnings management: evidence from commodity firms," Review of Quantitative Finance and Accounting, Springer, vol. 62(4), pages 1615-1649, May.
    3. Kim, Youngju & Lee, Seohyun & Lim, Hyunjoon, 2023. "Uncertainty, credit and investment: Evidence from firm-bank matched data," Journal of Banking & Finance, Elsevier, vol. 154(C).
    4. Choi, Sangyup & Furceri, Davide & Huang, Yi & Loungani, Prakash, 2018. "Aggregate uncertainty and sectoral productivity growth: The role of credit constraints," Journal of International Money and Finance, Elsevier, vol. 88(C), pages 314-330.
    5. Jung, Seungho & Lee, Jongmin & Lee, Seohyun, 2021. "The impact of geopolitical risk on stock returns: Evidence from inter-Korea geopolitics," MPRA Paper 108006, University Library of Munich, Germany.
    6. Byun, Sung Je, 2016. "The usefulness of cross-sectional dispersion for forecasting aggregate stock price volatility," Journal of Empirical Finance, Elsevier, vol. 36(C), pages 162-180.
    7. Zeng, Ting & Zhao, Wei & Liu, Zhengning, 2022. "Investment response to exchange rate uncertainty: Evidence from Chinese exporters," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 488-505.

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    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity

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