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Construction, Real Uncertainty, and Stock-Level Investment Anomalies

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Construction, Real Uncertainty, and Stock-Level Investment Anomalies. / Aretz, Kevin; Kagkadis, Anastasios.
In: Journal of Financial and Quantitative Analysis, Vol. 60, No. 2, 31.03.2025, p. 1042-1073.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Aretz, K & Kagkadis, A 2025, 'Construction, Real Uncertainty, and Stock-Level Investment Anomalies', Journal of Financial and Quantitative Analysis, vol. 60, no. 2, pp. 1042-1073. https://doi.org/10.1017/S0022109024000024

APA

Aretz, K., & Kagkadis, A. (2025). Construction, Real Uncertainty, and Stock-Level Investment Anomalies. Journal of Financial and Quantitative Analysis, 60(2), 1042-1073. https://doi.org/10.1017/S0022109024000024

Vancouver

Aretz K, Kagkadis A. Construction, Real Uncertainty, and Stock-Level Investment Anomalies. Journal of Financial and Quantitative Analysis. 2025 Mar 31;60(2):1042-1073. Epub 2024 Jan 24. doi: 10.1017/S0022109024000024

Author

Aretz, Kevin ; Kagkadis, Anastasios. / Construction, Real Uncertainty, and Stock-Level Investment Anomalies. In: Journal of Financial and Quantitative Analysis. 2025 ; Vol. 60, No. 2. pp. 1042-1073.

Bibtex

@article{97219ace4d714f83b0b77c2b43161c99,
title = "Construction, Real Uncertainty, and Stock-Level Investment Anomalies",
abstract = "We show that the negative relation between real investments and future stock returns is primarily driven by the subsample of firms building additional capacity. We develop a real options model to rationalize that evidence based on the premise that firms need to learn how to best operate modern capacity vintages, inducing idiosyncratic uncertainty in that capacity{\textquoteright}s production costs over the learning period. Conversely, the uncertainty lowers the expected return of firms with newly built capacity until it is resolved. Further evidence based on profit sensitivities to aggregate conditions; analyst forecast-error volatilities; and high- versus low-tech industry subsamples supports our uncertainty explanation.",
author = "Kevin Aretz and Anastasios Kagkadis",
year = "2025",
month = mar,
day = "31",
doi = "10.1017/S0022109024000024",
language = "English",
volume = "60",
pages = "1042--1073",
journal = "Journal of Financial and Quantitative Analysis",
issn = "0022-1090",
publisher = "Cambridge University Press",
number = "2",

}

RIS

TY - JOUR

T1 - Construction, Real Uncertainty, and Stock-Level Investment Anomalies

AU - Aretz, Kevin

AU - Kagkadis, Anastasios

PY - 2025/3/31

Y1 - 2025/3/31

N2 - We show that the negative relation between real investments and future stock returns is primarily driven by the subsample of firms building additional capacity. We develop a real options model to rationalize that evidence based on the premise that firms need to learn how to best operate modern capacity vintages, inducing idiosyncratic uncertainty in that capacity’s production costs over the learning period. Conversely, the uncertainty lowers the expected return of firms with newly built capacity until it is resolved. Further evidence based on profit sensitivities to aggregate conditions; analyst forecast-error volatilities; and high- versus low-tech industry subsamples supports our uncertainty explanation.

AB - We show that the negative relation between real investments and future stock returns is primarily driven by the subsample of firms building additional capacity. We develop a real options model to rationalize that evidence based on the premise that firms need to learn how to best operate modern capacity vintages, inducing idiosyncratic uncertainty in that capacity’s production costs over the learning period. Conversely, the uncertainty lowers the expected return of firms with newly built capacity until it is resolved. Further evidence based on profit sensitivities to aggregate conditions; analyst forecast-error volatilities; and high- versus low-tech industry subsamples supports our uncertainty explanation.

U2 - 10.1017/S0022109024000024

DO - 10.1017/S0022109024000024

M3 - Journal article

VL - 60

SP - 1042

EP - 1073

JO - Journal of Financial and Quantitative Analysis

JF - Journal of Financial and Quantitative Analysis

SN - 0022-1090

IS - 2

ER -