Institutional and individual sentiment: Smart money and noise trader risk?

By Maik Schmeling. 2006

162 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Finance

View Paper: https://www.semanticscholar.org/paper/24cfcc240f2c0294182700589d1f63354186990b

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Citations in the corpus

Can investor sentiment be a momentum time-series predictor? Evidence from China (2017, background): “…alternative measures for sentiment, such as technical indicators and/or survey-based measures (Brown & Cliff 2004, 2005; Lemmon & Portniaguina 2006; Schmeling 2007, 2009). procedure as suggested in Baker and Wurgler (2007) and Chen et al. (2014) to scale individual sentiment proxies by their prior…”
Investor sentiment and stock return volatility: Evidence from the Johannesburg Stock Exchange (2019, background): “Also, the extensive debate about which group between individual investors (Frazzini & Lamont, 2005; Schmeling, 2007), institutional investors (Devault et al., 2019; Hong & Stein, 2007) or both (Nofsinger & Sias, 1999; Verma & Soydemir, 2009) are prone to sentiment biases has not been resolved yet.”
Does investor sentiment really matter (2016, background): “Likewise, Schmeling (2007) argues that institutional investors closely watch the sentiment of individual investors, which presents a potential source of noise trader risk, in order to form their expectations.”
Forecasting Abnormal Stock Returns and Trading Volume Using Investor Sentiment: Evidence from Online Search ? (2011, background): “However, a common theme that runs through the finance literature (e.g. Brown and Cliff (2005), Schmeling (2007), Barber et al. (2009a), among others) is that while investor sentiment (or their proxies) tend to be positively correlated with stock returns in the short term, over a medium to long term…”
Investor Sentiment, Limits to Arbitrage and Private Market Returns (2014, background): “31See also Menkhoff and Rebitzky (2008), Schmeling (2007) and Schmeling and Schrimpf (2011).”