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Predicting Stock Movements using Social Network

Abstract : 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.
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Submitted on : Tuesday, February 6, 2018 - 3:17:25 PM
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Sunil Saumya, Jyoti 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⟩



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