Digital Traffic, Financial Performance, and Stock Valuation

成果类型:
Article; Early Access
署名作者:
Armstrong, Christopher S.; Konchitchki, Yaniv; Zhang, Biwen
署名单位:
Stanford University; University of California System; University of California Berkeley
刊物名称:
ACCOUNTING REVIEW
ISSN/ISSBN:
0001-4826
DOI:
10.2308/TAR-2023-0133
发表日期:
2025
关键词:
EARNINGS FORECASTS persistence returns
摘要:
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.
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