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Paving the Road to the Buy‐Side

Journal of Accounting Research 2026 64(1), 515-555
ABSTRACT Sell‐side analysts commonly transition to buy‐side money managers. I examine whether and how these career transitions shape sell‐side analysts' behavior, relying on the granular career information of 6,310 analysts in the United States. I identify analysts who transition from the sell‐side to the buy‐side and find that these analysts issue inflated recommendations on stocks of interest to their future buy‐side employers. This favoritism is (1) present only during the year preceding their transition, (2) more pronounced among stocks where a single analyst is more influential in moving the stock price; and (3) present only among transitions likely to be strategically planned. Importantly, stocks receiving inflated recommendations experience a significant price decline following the departure of transitioning analysts from the sell‐side. Overall, these findings suggest that analyst career transitions are an important source of conflicts of interest.

Digital Traffic, Financial Performance, and Stock Valuation

The Accounting Review 2025 100(6), 29-60 open access
ABSTRACT We examine the economic implications of digital traffic on firms’ financial performance, stock valuation, and financial surprises. Our analysis shows that timely flows of digital traffic are contemporaneous and leading indicators of firms’ revenue and profitability—both gross and operating. Moreover, we show that digital traffic contains novel information about firms’ future performance that is not entirely reflected in stock prices, analyst forecasts, or historical (i.e., time series) financial metrics. Notably, digital-traffic-based investment strategies are lucrative and generate substantial abnormal returns. Importantly, we also adduce evidence that corroborates our conjecture about the underlying economic mechanism that explains the valuation implications of digital traffic: These are driven by firms with consumer-oriented websites that facilitate sale transactions. Data Availability: Data are available from the sources cited in the text. JEL Classifications: E32; G32; O33.