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.
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
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
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
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
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
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
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