2020
DOI: 10.15728/bbr.2020.17.5.3
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Investor Attention: Can Google Search Volumes Predict Stock Returns?

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Cited by 4 publications
(7 citation statements)
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“…The first column of Table 6 shows that private information decreases the stock liquidity, but when this private information interacts with investor attention, it increases the stock liquidity. This confirms our results that increased investor attention is followed by higher stock liquidity, which is reinforced by decreased information asymmetry (Yoshinaga and Rocco, 2020).…”
Section: Robust Analysis 51 Pvt Info Attention and Liquiditysupporting
confidence: 91%
See 1 more Smart Citation
“…The first column of Table 6 shows that private information decreases the stock liquidity, but when this private information interacts with investor attention, it increases the stock liquidity. This confirms our results that increased investor attention is followed by higher stock liquidity, which is reinforced by decreased information asymmetry (Yoshinaga and Rocco, 2020).…”
Section: Robust Analysis 51 Pvt Info Attention and Liquiditysupporting
confidence: 91%
“…A more extensive investment base and more investor interest, according to Tang and Zhu (2017) and Yoshinaga and Rocco (2020), will lower the expected rates of return on “attention-grabbing” equities by reducing estimation risk. Lastly, Smales (2021) too confirms the negative impact of the investors’ attention on stock return who concluded that during the COVID-19 crisis, increased Internet searches result in a quicker flow of information into financial markets, resulted in higher volatility.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Similarly, Bijl et al (2016) find that there is “economical value” to use Google Trends when forecasting stock returns. Yoshinaga and Rocco (2020) find that increasing Google search volume has an inverse relationship with stock market returns, while Swamy and Dharani (2019) find a positive relationship. Salisu et al (2021) argue that Google Trends shape investor sentiments and can be used to measure how an investor may predict the behavior of stock market returns.…”
Section: Data and Descriptive Statisticsmentioning
confidence: 92%
“…Specifically, the search queries on the term “Bitcoin” (being the most popular VC) on Wikipedia are treated as the proxy for investor attention. The growth rate of page views is calculated on a daily basis as follows (Yoshinaga and Rocco, 2020): where:…”
Section: Methodsmentioning
confidence: 99%
“…Investor attention has been studied in the context of traditional financial markets such as the stock market and foreign exchange market and has been proven to be an influential factor in certain markets. According to Yoshinaga and Rocco (2020), it is important to understand the association between investor attention and future stock returns when devising investment strategies. This is because any person who can successfully predict the effect of a rise or fall in investor attention on future performance should consider this market anomaly.…”
Section: Moderating Role Of Investor Attentionmentioning
confidence: 99%