Survive the economic downturn: operating flexibility, productivity, and stock crash
Journal of Operations Management, 2025

Yang Li, Xiaojun Wang, Fangming Xu, Tuan Ho Operating flexibility supports a firm's resilience strategy during challenging times by enabling them to promptly cut down operating costs associated with unproductive resources. We employ a real options model to formalize this insight. Our empirically grounding analytics motivate a firm-level proxy for downscale operating flexibility (FLEX), which effectively captures the adjustment frictions across different contexts of firms' operations. Using U.S. data between 1961 and 2020, we show that operating flexibility mitigates the risk of stock price crashes, especially during periods of economic recession. Consistent with the loss-curtailment mechanism, the operating flexibility effect is more pronounced for firms with lower productivity/profitability or higher operating leverage and is further amplified during longer and more severe recessions. Managers may avail themselves of our well-tested empirical measure of operating flexibility to guide their efforts in building a more resilient operations structure.

Nonstandard errors
Journal of Finance, 2024

Albert J. Menkveld, Anna Dreber, Felix Holzmeister, Juergen Huber, Magnus Johannesson, Michael Kirchler, Sebastian Neusüß, Michael Razen, Utz Weitzel, Fincap Team, Fearghal Kearney, Tony Klein, Liangyi Mu, and others In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation across researchers adds uncertainty--nonstandard errors (NSEs). We study NSEs by letting 164 teams test the same hypotheses on the same data. NSEs turn out to be sizable, but smaller for more reproducible or higher rated research. Adding peer-review stages reduces NSEs. We further find that this type of uncertainty is underestimated by participants.

Why did shareholder liability disappear?
Journal of Financial Economics, 2024

David A. Bogle, Gareth Campbell, Christopher Coyle, John D. Turner Why did shareholder liability disappear? We address this question by looking at its use by British insurance companies until its complete disappearance. We explore three possible explanations for its demise: (1) regulation and government-provided policyholder protection meant that it was no longer required; (2) it had become de facto limited; and (3) shareholders saw an opportunity to expunge something they disliked when insurance companies grew in size. Using hand-collected archival data, our findings suggest investors attached a risk premium to companies with shareholder liability, and it was phased out as insurance companies expanded, which meant that they were better able to pool risks.