PROJECT TITLE :

Web Media and Stock Markets : A Survey and Future Directions from a Big Data Perspective - 2018

ABSTRACT:

Stock market volatility is influenced by information unleash, dissemination, and public acceptance. With the increasing volume and speed of social media, the effects of Web information on stock markets are turning into increasingly salient. However, studies of the results of Web media on stock markets lack each depth and breadth due to the challenges in automatically acquiring and analyzing huge amounts of relevant data. During this study, we tend to systematically reviewed 229 research articles on quantifying the interplay between Web media and stock markets from the fields of Finance, Management Info Systems, and Computer Science. In particular, we have a tendency to first categorized the representative works in terms of media sort and then summarized the core techniques for converting textual data into machine-friendly forms. Finally, we compared the analysis models used to capture the hidden relationships between Web media and stock movements. Our goal is to clarify current cutting-edge analysis and its possible future directions to totally understand the mechanisms of Web info percolation and its impact on stock markets from the views of investors cognitive behaviors, corporate governance, and stock market regulation.