Financial Big DataFinancial big data takes financial data as the core and financial data as the core. It targets banking, securities, insurance, payment and clearing, Internet finance and other industries to improve resource allocation efficiency, strengthen risk control capabilities, and promote business innovation. A new generation of information technology and service formats for acquisition, storage, analysis and application.
Paulo Ferreira, Éder J.A.L. Pereira,Hernane B.B. Pereira
Journal of Risk and Financial Management, (2020)
Big data and complexity go hand in hand and Econophysics is a way to use this kind of data, with the particularity of being used mainly in finance
Cited by0BibtexViews23Links
0
0
Victor Chang, Patricia Baudier, Hui Zhang, Qianwen Xu, Jingqi Zhang, Mitra Arami
Technological forecasting and social change, (2020): 120166
This paper highlights the fact that the financial industry is on the edge of a new financial era using a new destructive system based on Blockchain
Cited by0BibtexViews11Links
0
0
Maryam Farboodi,Laura Veldkamp
AMERICAN ECONOMIC REVIEW, no. 8 (2020): 2485-2523
We find that when the financial sector becomes more efficient at processing information, it changes the incentives to acquire information about future dividends versus demand
Cited by0BibtexViews8Links
0
0
Omar Mohammed Zragat
Mathematical Models and Methods in Applied Sciences, no. 2 (2020): 71
This study aimed at discovering the potential impact of big data on financial reports quality in the present business intelligence as a moderating variable
Cited by0BibtexViews10Links
0
0
Quantitative Finance, pp.1-11, (2019)
Using a Deep Learning approach applied to a large dataset of billions of orders and transactions for 1000 US stocks, we have uncovered evidence of a universal price formation mechanism relating history of the order book for a stock to the () price variation for that stock
Cited by67BibtexViews10
0
0
Gang Kou, Xiangrui Chao,Yi Peng, Fawaz E. Alsaadi,Enrique Herrera-Viedma
Technological and Economic Development of Economy, pp.1-27, (2019)
Responding financial systemic risk should develop more accurate regulation policies using intelligent methods based on financial big data in the future
Cited by0BibtexViews11
0
0
Journal of Information Processing Systems, no. 6 (2019): 1306-1325
Cited by0BibtexViews4Links
0
0
Helton Saulo, Jeremias Leão, Víctor Leiva, Robert G. Aykroyd
Statistical Papers, no. 5 (2019): 1605-1629
We propose and compare two Birnbaum-Saunders autoregressive conditional duration models specified in terms of time-varying conditional median and mean durations
Cited by0BibtexViews5Links
0
0
Omer Berat Sezer,A. Murat Ozbayoglu
Appl. Soft Comput., (2018): 525-538
We utilized a 2-D Deep Convolutional Neural Network model to be used with financial stock market data and technical analysis indicators for developing an algorithmic trading system
Cited by51BibtexViews16Links
0
0
J. Big Data, no. 1 (2018)
We tried to see if Deep Learning models could improve the accuracy of sentiment analysis of StockTwits messages
Cited by6BibtexViews11Links
0
0
Marxia Oli Sigo, Murugesan Selvam, Balasundram Maniam, Kannaiah Desti, Chinnadurai Kathiravan, Thanikachalam Vadivel
Academy of Accounting and Financial Studies Journal, (2018)
This study analyzed the stock price trends and predicted values of three top market capitalization stocks, namely Reliance Industries Limited, Tata Consultancy Services and HDFC Bank, which are listed in the Bombay Stock Exchange in India
Cited by0BibtexViews14
0
0
Mikhail Yakovlevich Veselovsky, Tatiana Vitalievna Pogodina, Raisa V. Ilyukhina, Tatyana A. Sigunova, Nina F. Kuzovleva
Entrepreneurship and Sustainability Issues, no. 3 (2018): 672-681
The purpose of the work is to identify some financial and economic mechanisms that promote the development of innovative activities in Russia in the conditions of the digital economy
Cited by0BibtexViews6
0
0
Matthew A. Bruckner
Chicago-Kent} Law Review, no. 1 (2018): 3
A 2016 Bloomberg report found that Prime’s service area excluded large swaths of “predominantly black ZIP codes” in “six major same-day delivery cities.”5 Blacks in four cities—Atlanta, Chicago, Dallas, and Washington D.C.—were only “half as likely to live in neighborhoods
Cited by0BibtexViews4
0
0
Yi Liu, Jiawen Peng, Zhihao Yu
Proceedings of the 2018 International Conference on Big Data Engineering and Technology, pp.31-35, (2018)
Big data platform combined with space-time data can really integrate its own data resources, and can be derived from a large number of products, on the cost reduction, risk prevention on the business are helpful
Cited by0BibtexViews5Links
0
0
Journal of Business Research, (2017): 263-286
The authors of this paper have presented a holistic view of Big Data practices and application of Big Data Analytics methods as presented in a normative slice of literature
Cited by759BibtexViews18
0
0
Decision Support Systems, no. C (2017): 53-64
Our second evaluation of the sentiment engine is based on the sentence polarity dataset v1.0 that was originally released by Pang et al
Cited by48BibtexViews13Links
0
0
Mikella Hurley,Julius Adebayo
Yale Journal of Law and Technology, no. 1 (2017): 5
Because of the lifealtering consequences that can flow from a faulty or unfair credit score, regulators must ensure that innovators proceed responsibly and have strong legal incentives to ensure that their scoring decisions are transparent, accurate, unbiased, and fair
Cited by4BibtexViews8
0
0
Journal of financial transformation, (2017): 14-21
This paper explores ve regulatory technology areas ripe for automation in regulation using blockchain technology: Q Intelligent regulatory advisor: an arti cial intelligent frontend to the regulatory handbook to simplify registration
Cited by0BibtexViews12
0
0
it - Information Technology, no. 4 (2016): 155-156
Businesses can study big data to understand the current state of the business and track still-evolving aspects such as customer behavior
Cited by1197BibtexViews29Links
0
0
TOMCCAP, no. 4s (2016): 67:1-67:18
The implementations of the proposed model, 2SBM, mainly focused on securing financial services in cloud systems, which was supported by two algorithms, namely, Ontology-Based Access Recognition and Semantic Information Matching
Cited by73BibtexViews29Links
0
0
Keywords
Big DataEmpirical EvidenceEconomic GrowthFat TailFinancial MarketFinancial MarketsFinancial SystemTime SeriesAccuracyAdaptive System
Authors
Rama Cont
Paper 2
Meikang Qiu
Paper 2
Marc Potters
Paper 2
Keke Gai
Paper 2
Lixin Tao
Paper 1
Justin A. Sirignano
Paper 1
Kate Crawford
Paper 1
Jose Van Dijck
Paper 1
Zhong Ming
Paper 1