Investor Information Demand: Evidence from Google Searches Around Earnings Announcements

By Michael S. Drake, Darren T. Roulstone, Jacob R. Thornock. 2012

598 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/204bb5e097999caaa162965a32873ed03ec251a8

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Citations in the corpus

Shall We Talk? The Role of Interactive Investor Platforms in Corporate Communication (2020, result): “For consistency with previous literature (Frankel 1999; Drake et al., 2012; Kirk and Vincent 2014; Bourveau and Schoenfeld 2017; Jung et al., 2017), we include control variables that have been shown to affect corporate disclosure: firm size (SIZE), financial leverage (LEV), intangible asset (INTAN),”
Investor Attention and FX Market Volatility (2015, unknown): “Engelberg and Parsons (2011) ﬁnd that local media coverage predicts local trading.”
Can Internet search queries help to predict stock market volatility (2016, unknown): “In the ﬁeld of ﬁnance search query data are used to measure retail investor attention (Bank, Larch and Peter 2011, Da et al. 2011, Jacobs and Weber forthcoming) and to predict earnings (Da, Engelberg and Gao 2010a, Drake, Roulstone and Thornock 2011).”
Why Do Individual Investors Disregard Accounting Information? The Roles of Information Awareness and Acquisition Costs (2018, unknown): “…that trading volume at earnings announcements increases with the size of the earnings surprise (e.g., Bamber 1986; Bamber 1987; Kross et al. 1994; Drake et al. 2012).11 Analytical models provide several reasons why larger earnings surprises are more informative and drive more trading (e.g.,…”
Retail Investor Attention and Stock Liquidity (2015, unknown): “…ticker rather than the company name, since searching for a stock using its ticker is less ambiguous (Da et al., 2011) and searches using ticker symbols as the search term are more likely to reflect searches for financial information than searches for non-financial information (Drake et al., 2012).”
Googling Investor Sentiment around the World (2019, unknown): “…such as automobile sales (Choi and Varian (2012)); evaluate investor attention (Mondria, Wu, and Zhang (2010), Da, Engelberg, and Gao (2011)); measure investor information demand (Drake, Roulstone, and Thornock (2012)); and identify economically related peer firms (Lee, Ma, and Wang (2015)).”
Identification and generalizability in accounting research: A discussion of Christensen, Floyd, Liu, and Maffett (2017) (2017, unknown): “In this case, specific features include the following facts: 1) the public dissemination of the safety disclosures is via the gov- 1 E.g., Bushee et al. (2010), Engelberg and Parsons (2011), Drake et al. (2012), Blankespoor et al. (2013 ), Peress (2014), Drake et al. (2015) .”
The Use of EDGAR Filings by Investors (2017, unknown): “Differently, Drake et al. [2015] defined IP addresses to be robots if the address has more than 5 filing requests in a given minute or more than 1,000 firm filing requests during a single day.”
Investor attention and stock market activity: Evidence from France (2013, background): “Consequently, the act of seeking information on the Internet would help to increase stock market efficiency (Drake et al., 2012).”
Spreading the Word: Price Discovery and Newswire Dissemination of Management Earnings Guidance (2016, background): “2014), internet searches (Drake et al. 2012), social media (Blankespoor et al.”
Why Don't We Agree? Evidence from a Social Network of Investors (2019, background): “It is a well-known empirical regularity that trading volume spikes on the earnings announcement date and remains high for several weeks (Drake et al., 2012; Kaniel et al., 2012).”