6	2016	Bartov et al. [35]	Can Twitter Help Predict Firm-Level Earnings and Stock Returns?	Accepted	Observed positive association between the aggregate opinion and the immediate abnormal stock price reaction to the quarterly earnings announcement
7	2016	Jin et al. [36]	Has Microblogging Changed Stock Market Behavior? Evidence from China	Accepted	Observed significant impact of microblogging to increase the relative trading volume as well as the decreases in the daily expected stock return
8	2016	Singh [7]	R&D Spillovers & Productivity Growth: Evidence from Indian Manufacturing	Accepted	Technology influences productivity
9	2016	Singh [6]	Do Technology Spillovers Accelerate Performance of Firms?	Accepted	R&D promote the adoption of new technologies such as big Data and Machine Learning
10	2015	Seth and Chaudhary [29]	Big Data in Finance	Accepted	Big Data in finance will evolve to influence the trading the pattern of the investors
11	2015	Attigeri et al. [12]	Stock Market Prediction: A Big Data Approach	Accepted	In the technical analysis and fundamental research scholar found that social media has influence on the stock prices
12	2015	Tian et al. [42]	Latency Critical Big Data Computing in Finance	Accepted	Big data and Analytics based computing could benefit today's banking and financial organizations to achieve more intelligent trading in the capital market
13	2014	Shorter et al. [43]	High-Frequency Trading: Background, Concerns, and Regulatory Developments	Accepted	High frequency trading will keep on posing the regulatory challenges with the development of technology
14	2014	Funk and Hirschman [27]	Derivatives and Deregulation: Financial Innovation and the Demise of Glass-Steagall	Accepted	Big Data implications on the HFT trading is highly tilted due to technology
15	2014	Nagata and Inui [37]	Does High-Speed Trading Enhance Market Efficiency? Empirical Analysis on “Arrowhead” of the Tokyo Stock Exchange	Accepted	High efficiency trading enhances marketing efficiency
16	2014	Moat et al. [38]	Using Big Data to Predict Collective Behavior in the Real World	Accepted	Observed the predictive effect of the Big Data analysis in the financial world
17	2013	Aldridge [14]	Market Microstructure and the Risks of High-Frequency Trading	Accepted	High frequency trading reduces the arbitrage due to gap in information
18	2013	Angel and McCabe [44]	Fairness in Financial Markets: The Case of High Frequency Trading	Accepted	Impact of High frequency trading was put into question as the fair practice in the capital market
19	2013	Aït-Sahalia and Saglam [45]	High Frequency Traders: Taking Advantage of Speed	Accepted	High Frequency traders could take the advantage of the speed to influence the capital market in their favour
20	2013	Alanyali et al. [46]	Quantifying the Relationship between Financial News and the Stock Market	Accepted	Observed that movements in financial markets and movements in financial news are intrinsically interlinked
21	2012	Snijders et al. [26]	Big Data: Big Gaps of Knowledge in the Field of Internet Science	Accepted	Observed that Big Data could bridge the gap in knowledge in the capital markets and reduce efficiency