Abstract
Ant Financial has over 100 million subscribers, resulting in a significant amount of daily money influx and outflow. Therefore, capital management will be under a lot of stress. As a result, it's critical to precisely estimate inflows and outflows of funds while maintaining a low level of liquidity risk and keeping up with everyday business operations. Knowing when to make an accurate prediction is often the most important stage in forecasting. Instead, than duplicating what has already happened and will not happen again in the future, good forecasting highlights meaningful patterns and relationships in previous data. In this paper, we used ARIMA model to forecast total amount of purchase and redemption of Yu'E Bao in August 2014 and compared the predicted data with original data. After differential processing, the accuracy of the ARIMA model improves because the data becomes more stable and the rules become clearer.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
