Predicting Stock Movements using Social Network - Social Media: The Good, the Bad, and the Ugly Access content directly
Conference Papers Year : 2016

Predicting Stock Movements using Social Network

Sunil Saumya
  • Function : Author
  • PersonId : 1024443
Jyoti Prakash Singh
  • Function : Author
  • PersonId : 1024444
Prabhat Kumar
  • Function : Author
  • PersonId : 999574


According to “Wisdom of Crowds” hypothesis, a large crowd can perform better than smaller groups or few individuals. Based on this hypothesis, we investigate the impact of online social media, a group of interacting individual, on financial market in Indian context. The interaction of different users of , a popular online Indian stock forum, is put to a social graph model and several key parameters are derived from that social graph along with the user’s suggestion such as (Buy, Sell or Hold) related to a stock. The user’s impact in that forum is then calculated using the social graph of the users. Stock price movement is then predicted using user’s suggestions and their impact in that forum. As per our knowledge, this is the first paper which considers the impact of user’s suggestions and social relation to predict the stock prices.
Fichier principal
Vignette du fichier
396007_1_En_50_Chapter.pdf (216.6 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01702139 , version 1 (06-02-2018)





Sunil Saumya, Jyoti Prakash Singh, Prabhat Kumar. Predicting Stock Movements using Social Network. 15th Conference on e-Business, e-Services and e-Society (I3E), Sep 2016, Swansea, United Kingdom. pp.567-572, ⟨10.1007/978-3-319-45234-0_50⟩. ⟨hal-01702139⟩
128 View
199 Download



Gmail Facebook X LinkedIn More