ABSTRACT The objective of this study is to investigate factors that influence investor information demand around earnings announcements and to provide insights into how variation in information demand impacts the capital market response to earnings. The Internet is one channel through which public information is disseminated to investors and we propose that one way that investors express their demand for public information is via Google searches. We find that abnormal Google search increases about two weeks prior to the earnings announcement, spikes markedly at the announcement, and continues at high levels for a period after the announcement. This finding suggests that information diffusion is not instantaneous with the release of the earnings information, but rather is spread over a period surrounding the announcement. We also find that information demand is positively associated with media attention and news, and is negatively associated with investor distraction. When investors search for more information in the days just prior to the announcement, preannouncement price and volume changes reflect more of the upcoming earnings news and there is less of a price and volume response when the news is announced. This result suggests that, when investors demand more information about a firm, the information content of the earnings announcement is partially preempted.

ABSTRACT Research has long recognized that institutional investors possess significant information processing advantages. Yet even these investors face limited‐attention constraints, implying that periods of distraction may attenuate their advantage. We examine the effects of a plausibly exogenous shock to institutional attention arising from the annual buy‐side‐focused Equity Research and Valuation (ERV) conference for Chartered Financial Analysts on institutions' information processing at earnings announcements. Validation tests using conference call data indicate that fewer buy‐side analysts are present on earnings calls during ERV conferences and that questions are shorter, consistent with the presence of substitute or backup analysts. In our main analyses, we find that buy‐side analyst inattention reduces information asymmetry among investors and improves liquidity at these earnings announcements, consistent with theory, and observe similar results for non–earnings announcement events. In additional tests, we document slower price formation, but also more profitable retail trading, during these periods. Collectively, we provide novel evidence on the market consequences of institutional inattention during key information events.

ABSTRACT: We investigate whether short sellers and analysts differ in their use of information that is predictive of future returns. We find that short interest is significantly associated in the expected direction with all 11 variables examined. In contrast, analysts tend to positively recommend stocks with high growth, high accruals, and low book-to-market ratios, despite these variables having a negative association with future returns. We then investigate the profitability of using short interest in trading. We find abnormal returns (1.11 percent per month) from a zero-investment strategy that (1) shorts firms with highly favorable analyst recommendations (buy signal) but high short interest (sell signal), and (2) buys firms with highly unfavorable analyst recommendations (sell signal) but low short interest (buy signal). Short interest, therefore, appears to capture predictive information that can be used by investors in trading against analysts’ recommendations to increase returns.

ABSTRACT Governments regularly offer non‐income tax relief to attract business investment. However, it is unclear whether or how markets impound information about the relief into security prices. We use novel data from retrospective public records to examine the information content of non‐income tax relief. We predict and find that the receipt and magnitude of this relief are both strongly associated with recipients' future accounting performance and future abnormal returns. We further find that abnormal returns associated with the relief cluster around future earnings information events. In combination, this evidence suggests that non‐income tax relief is value‐relevant but is incorporated into prices over time.

ABSTRACT We employ a novel machine learning technique to classify analysts’ forecast revisions into five types based on how the revision weighs publicly available signals. We label these forecast types as quant, sundry, contrarian, herder, and independent forecasts. Our tests reveal that a greater diversity of forecast types within the consensus is associated with increased consensus dispersion and improved consensus accuracy. Additionally, consensus diversity is associated with an improved information environment for firms, as reflected in reduced earnings announcement information asymmetry and volatility, higher earnings response coefficients, and faster price formation. Our study sheds light on how analysts revise their forecasts and documents capital market benefits associated with different analyst forecasting approaches.

ABSTRACT This study investigates the role of the business press in the pricing of accounting information. Using a comprehensive dataset of more than 111,000 earnings-related business press articles published from 2000 to 2010, we find that press coverage of the annual earnings announcement mitigates cash flow mispricing, but has a negligible effect on accrual mispricing. We provide evidence that this impact is driven primarily by the press disseminating the information more broadly, rather than by the creation of new content that helps investors understand the implications of accounting information. Our results suggest that the business press plays an important role in facilitating the market's ability to efficiently impound accounting information into stock prices and provide new insights into the role of the business press as an information intermediary in capital markets.