Big Data and FinTech

Autor: Yao-Min Chiang, Feng-Shang Wu, Yung-Shen Yen, Jia-Lang Seng, Tzu-Chieh Tsai, Pang-Ru Chang
Rok vydání: 2018
Předmět:
Zdroj: Computational Social Sciences ISBN: 9783319954646
DOI: 10.1007/978-3-319-95465-3_6
Popis: In this chapter, we examine the research issues related to the real-time and mobile data analytics in the area of FinTechs. The issues examined consist of the non-traditional data analytics approach, news media sentiment analysis and opinion mining, asset pricing modeling, real-world financial multi-case study, and mobile cloud computing creation. We develop the multifactor asset pricing model, the multiword text analytics approach, the supply demand framework of financial service innovation, and the Big Data mobile prototype system. The promising research results include the technology transfer to a start-up firm, the university-industry cooperation, the set of three apps in the Android store, and the multi-case study reports and academic publications.
Databáze: OpenAIRE