Social Mood and Financial Economics
By John R. Nofsinger. 2005
560 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Finance, General Decision Sciences
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Qing Li
- Lipika Dey
- Ishan Verma
- Hardik Meisheri
- Ioannis Tsalavoutas
- Shao‐Chi Chang
- Vasileios Kallinterakis
- K. Gavriilidis
In Finance
- Yuntao Yao
- Željko Šević
- Ioannis Tsalavoutas
- Shao‐Chi Chang
- Vasileios Kallinterakis
- K. Gavriilidis
- Sheng-Syan Chen
- Philip S. Yu
In General Decision Sciences
Citations in the corpus
- Improving stock market prediction via heterogeneous information fusion (2017, background): “For example, the collective level of optimism or pessimism in society can affect investor decisions [7, 8].”
- Twitter mood predicts the stock market (2010, background): “First, numerous studies show that stock market prices do not follow a random walk and can indeed to some degree be predicted [5], [6], [7], [8] thereby calling into question EMH’s basic assumptions.”
- Investor mood, herding and the Ramadan effect (2016, background): “During both Holy days there is a significant decline in dollar volume, while stock 1 Loewenstein et al. (2001); Lucey & Dowling (2005); Nofsinger (2005), Shu (2010), Summers & Duxbury (2012), Abu Bakar et al. (2014) and Siganos et al. (2014). returns are significantly positive around Rosh HaShanah…”
- Detecting, quantifying and accessing impact of news events on Indian stock indices (2017, background): “In more recent times, a number of studies have analyzed texts from social network services (SNS), blogs and news to analyze correlations between stock prices and public emotion as reaction to social events and news [2, 3, 20, 21, 23].”
- Investors’ trading activity: A behavioural perspective and empirical results (2011, background): “In contrast to traditional finance, which examines how people should behave in order to maximize their wealth, behavioural finance investigates how people actually behave in a financial setting (Nofsinger, 2005a).”
- Media-aware quantitative trading based on public Web information (2014, background): “This phenomenon is particularly serious in the stock investors who work with great expectations and in high pressure [27].”
- Emotional Returns and Emotional Costs in Privately Held Family Businesses: Advancing Traditional Business Valuation (2008, unknown): “Overall, emotions are measured in psychology, economics, and marketing research (e.g., Arvey, Renz, & Watson, 1998; Nofsinger, 2005; Kidwell, McFarland, & Avila, 2007; Pawle & Cooper, 2006).”
- Weather and intraday patterns in stock returns and trading activity (2008, background): “Saunders (1993) argues that weather influences stock returns because it affects the mood of investors.”
- Can Online Emotions Predict the Stock Market in China? (2016, background): “It demonstrates that mood can affect individual behavior and decision-makings of investors [6,10].”