In this paper we use a new method to rank finance journals and study the pattern of authorship/co-authorship across journals. Defined as the ratio of articles authored by faculty at the world's top 80 finance programs to the total number of articles by all authors, the Author Affiliation Index is a cost-effective and intuitively easy-to-understand approach to journal rankings. Forty-one finance journals are ranked according to this index. If properly constructed, the Author Affiliation Index provides an easy and credible way to supplement the existing journal ranking methods. Our ranking system reveals the journal–researcher clientele, and we find that collaboration (co-authoring) between faculty within elite programs exists only in top-tier and near-top-tier journals. Publications in lower-tier journals by researchers of elite programs are driven by their co-authors. Collaboration between faculty in elite and non-elite programs, however, is more prevalent than that within elite programs across all tiers of journals. Co-authorship among top 80 programs, nevertheless, is more common in top-tier journals, while co-authorship between top 80 and other programs is more dominant in lower-ranked journals.

This paper examines whether analysts and investors efficiently incorporate the informational signals from managerial linguistic complexity (e.g., Fog) into their forecasts and trading decisions. We predict that a manager’s Fog during a conference call provides a signal of their private information through their willingness to engage with analyst questions. We find that informative (obfuscatory) managerial Fog provides a positive (negative) signal of future earnings growth. We also find that analysts efficiently revise their forecasts to both positive and negative signals, whereas investors only correctly interpret obfuscation during the call; there is a delayed price reaction to informative Fog. However, when buy-side investors ask questions during a call, we find an efficient price reaction to informative Fog. Our findings highlight an important benefit of two-way interactive disclosures and underline the importance of active call participation for efficiently incorporating linguistic signals of managers’ private information. Data Availability: Data are available from the public sources cited in the text.

We study whether, and more importantly, through what mechanisms, quasi-indexers affect portfolio firms’ tax planning by employing the discontinuity in quasi-indexer ownership around the Russell 1000/2000 index cutoff. Using a regression discontinuity design, we find that higher quasi-indexer ownership leads to greater tax saving. With respect to the mechanisms, we find that the greater tax saving is a result of a focus on improved overall firm performance, not a specific focus on improved tax planning. We further find that the documented tax saving effect is partially due to quasi-indexers’ influences on executive equity incentives, corporate governance, and information environment.

We exploit a one-month period when SEC activity largely stopped during a U.S. government shutdown to examine whether variation in SEC scrutiny affects its ability to enforce insider trading. Difference-in-differences analyses suggest insiders earn abnormal profits during the shutdown, and the findings are robust to using different control periods and groups. We estimate that it takes roughly one week before the abnormally profitable trading begins, consistent with insiders updating their beliefs regarding the duration and disruption of the shutdown. Supporting the claim that SEC regulatory activity drops with the shutdown and does not fully recover afterward, we find a decline in the frequency of insider trading enforcement releases, investigations, and comment letter issuances after the SEC resumes operations. Our study speaks to the SEC insider trading enforcement literature and economic consequences of a regulatory discontinuity in a divisive political climate. Data Availability: All data are available from public sources.