We investigate the effect of CFO narcissism, as measured by signature size, on financial reporting quality. Experimentally, we validate that narcissism predicts misreporting behavior, and that signature size predicts misreporting through its association with narcissism. Empirically, we examine notarized CFO signatures and find CFO narcissism is associated with more earnings management, less timely loss recognition, weaker internal control quality, and a higher probability of restatements. The results are consistent for within‐firm comparisons focusing on CFO changes and are robust to controlling for CFO overconfidence and CEO narcissism. The results highlight the importance of CFO characteristics in the domain of financial reporting decisions.

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This study documents a six-fold increase in short-term return reversals during earnings announcements relative to non-announcement periods. Following prior research, we use reversals as a proxy for expected returns market makers demand for providing liquidity. Our findings highlight significant time-series variation in the magnitude of short-term return reversals and suggest that market makers demand higher expected returns prior to earnings announcements because of increased inventory risks that stem from holding net positions through the release of anticipated earnings news. Collectively, our findings suggest that uncertainty regarding anticipated information events elicits predictable increases in the compensation demanded for providing liquidity and that these increases significantly affect the dynamics and information content of market prices.

Firms in industry clusters have market prices that are more efficient than firms outside clusters. To establish causality, we analyze exogenous firm relocations and find that firms that relocate into industry clusters have higher levels of industry information in their prices. We argue that geographical proximity allows for information spillovers, reducing marginal cost to information producers. Our evidence supports this view: Analysts are more likely to cover stocks inside industry clusters, and when institutional investors have a large position in one stock in the industry cluster, they are more likely to hold other stocks in the same industry cluster.