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Erschienen in:
Big Data in Computational Social Sciences and Humanities: An Introduction Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

6. Big Data and FinTech

verfasst von : Jia-Lang Seng, Yao-Min Chiang, Pang-Ru Chang, Feng-Shang Wu, Yung-Shen Yen, Tzu-Chieh Tsai

Erschienen in: Big Data in Computational Social Science and Humanities

Verlag: Springer International Publishing

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Abstract

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.

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Vorheriges Kapitel Has Homo economicus Evolved into Homo sapiens from 1992 to 2014: What Does Corpus Linguistics Say?
Nächstes Kapitel Health in Biodiversity-Related Conventions: Analysis of a Multiplex Terminological Network (1973 –2016)
Fußnoten
2
Knowledge Management Winner, http://​kmw.​chinatimes.​com/​.
 
3
Knowledge Management Winner, http://​kmw.​chinatimes.​com/​.
 
4
Knowledge Management Winner, http://​kmw.​chinatimes.​com/​.
 
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Metadaten
Titel
Big Data and FinTech
verfasst von
Jia-Lang Seng
Yao-Min Chiang
Pang-Ru Chang
Feng-Shang Wu
Yung-Shen Yen
Tzu-Chieh Tsai
Copyright-Jahr
2018
Buch
Big Data in Computational Social Science and Humanities

Print ISBN: 978-3-319-95464-6

Electronic ISBN: 978-3-319-95465-3

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-319-95465-3_6