Fifth International Conference On Advances in Economics, Management and Social Study - EMS 2016
Author(s) : OTTO K.M. CHENG, RAYMOND LAU
Though some research studies about big data have been reported in literature recently, few studies about applying big data analytics to analyze firms’ performance are performed and reported in existing business literature. Empowered by a novel framework of big data analytics, this paper illustrates our preliminary work of apply the proposed big data analytics framework to predict firms’ performance in stock market. In particular, the proposed framework leverages big data and probabilistic language modeling to analyze the stock performance of firms in near real-time. Our empirical test demonstrates the merits of the proposed framework. The practical implication of our research work is that firms can apply our big data analytics framework to analyze their internal and external performance, and hence develop more effective business strategies in advance.