Biased interpretation of performance feedback: The role of ceo overconfidence

Research summary: This study examines how managerial biases in the form of overconfidence change the interpretation of performance feedback and, consequently, shape a firm's risk taking in response to it. Our formal analysis suggests that CEO overconfidence is associated with a lower willingness to increase firm risk taking when facing negative performance feedback and a higher willingness to decrease risk when facing positive feedback. An extension of our model also shows that, when firms are operating close to their survival level, the effects of CEO overconfidence will reverse. We test our predictions empirically with a sample of 847 American manufacturing firms in the years 1992 to 2014. Our results are consistent with our hypotheses and are robust to different empirical operationalizations of CEO overconfidence. Managerial summary: Managers evaluate the success of their current business strategy through feedback in the form of their firm's current financial results relative to their own previous performance or that of their peers. Our results show that overconfident CEOs interpret information about the financial situation of their firms more optimistically than non-overconfident CEOs, which in turn causes them to exhibit a less pronounced reaction to both positive or negative performance feedback. It is thus crucial that managers are clearly aware of how their interpretations and reactions to feedback are affected by their own deeply held personal beliefs and dispositions

Localization sequences for logarithmic topological Hochschild homology

We study the logarithmic topological Hochschild homology of ring spectra with logarithmic structures and establish localization sequences for this theory. Our results apply, for example, to connective covers of periodic ring spectra like real and complex topological K-theory.Comment: v3: 40 pages; minor changes, accepted for publication in Mathematische Annale