Proceedings of the Fifth Symposium of Risk Analysis and Risk Management in Western China (WRARM 2017)

Analysis and Management of Big Data Financial Risk

Authors
Lianyue He
Corresponding Author
Lianyue He
Available Online November 2017.
DOI
10.2991/wrarm-17.2017.33How to use a DOI?
Keywords
Big Data Financial; Risk; Strategy
Abstract

In recent years, people have improved the ability of data acquisition, storage, analysis and utilization, and big data comes into being.Big data include large capacity structured, semi - structured and unstructured data that is difficult to store, analyze and manage in general database software or computer.Characteristics of big Data can be summarized as four Vs,volume,variety , velocity and value.Big data has great potential in the financial sector.Big data finance brings many conveniences to the financial industry, but at the same time, there are some risks and defects.This paper analyzes the risk of big data finance, and puts forward some strategies.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the Fifth Symposium of Risk Analysis and Risk Management in Western China (WRARM 2017)
Series
Advances in Intelligent Systems Research
Publication Date
November 2017
ISBN
10.2991/wrarm-17.2017.33
ISSN
1951-6851
DOI
10.2991/wrarm-17.2017.33How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Lianyue He
PY  - 2017/11
DA  - 2017/11
TI  - Analysis and Management of Big Data Financial Risk
BT  - Proceedings of the Fifth Symposium of Risk Analysis and Risk Management in Western China (WRARM 2017)
PB  - Atlantis Press
SP  - 186
EP  - 190
SN  - 1951-6851
UR  - https://doi.org/10.2991/wrarm-17.2017.33
DO  - 10.2991/wrarm-17.2017.33
ID  - He2017/11
ER  -