{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,12]],"date-time":"2026-02-12T10:22:45Z","timestamp":1770891765674,"version":"3.50.1"},"reference-count":18,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2020,9,27]],"date-time":"2020-09-27T00:00:00Z","timestamp":1601164800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>An asset allocation optimization model for key clients and financial products is developed and deployed on a business platform by compiling a program to a module using MATLAB to show how to integrate financial big data and fintech in a real application for a bank. Firstly, we establish a single objective linear programming model with the percent of assets in products as the decision variables, the minimum-weighted duration as the objective, and the business requirements as constraints. Then, we select non-integer linear programming as the model solver by testing two algorithm solvers with six real test cases separately, according to the solving time. Finally, we directly compile the model and the algorithm program into a module to complete the deployment into a business platform to quickly complete the transformation of data and model the actual productivity of the bank.<\/jats:p>","DOI":"10.3390\/info11100460","type":"journal-article","created":{"date-parts":[[2020,9,27]],"date-time":"2020-09-27T22:24:42Z","timestamp":1601245482000},"page":"460","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["How to Integrate Financial Big Data and FinTech in a Real Application in Banks: A Case of the Modeling of Asset Allocation for Products Based on Data"],"prefix":"10.3390","volume":"11","author":[{"given":"Jinwu","family":"Zhuo","sequence":"first","affiliation":[{"name":"School of Information Management and Engineering, Shanghai University of Finance and Economics, Shanghai 200433, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinmiao","family":"Li","sequence":"additional","affiliation":[{"name":"School of Information Management and Engineering, Shanghai University of Finance and Economics, Shanghai 200433, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Changrui","family":"Yu","sequence":"additional","affiliation":[{"name":"School of Information Management and Engineering, Shanghai University of Finance and Economics, Shanghai 200433, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,9,27]]},"reference":[{"key":"ref_1","first-page":"104","article-title":"Research on the comprehensive utilization of financial big data","volume":"4","author":"Jiang","year":"2017","journal-title":"China Int. Bus."},{"key":"ref_2","first-page":"32","article-title":"Research on the Development Strategy of Fintech Industry: A Case Study of Jiangsu Province","volume":"4","author":"Lu","year":"2019","journal-title":"Financ. Theory Pract."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"306","DOI":"10.1016\/j.clsr.2019.01.003","article-title":"Profiling tax and financial behaviour with big data under the GDPR","volume":"35","author":"Politou","year":"2019","journal-title":"Comput. Law Secur. Rev."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"971","DOI":"10.1016\/j.procs.2019.09.138","article-title":"Fintech Integration Process Suggestion for Banks","volume":"158","author":"Acar","year":"2019","journal-title":"Procedia Comput. Sci."},{"key":"ref_5","first-page":"69","article-title":"A brief analysis of key account management in commercial banks","volume":"3","author":"Li","year":"2012","journal-title":"J. Shandong Acad. Gov."},{"key":"ref_6","first-page":"78","article-title":"Internet finance characteristics, internet finance investor sentiment and the return of internet financial products","volume":"7","author":"Chen","year":"2019","journal-title":"Econ. Res."},{"key":"ref_7","first-page":"65","article-title":"Effect of capital constraint on asset allocation behavior of commercial banks: An empirical study based on data of 175 commercial Banks","volume":"4","author":"Wu","year":"2011","journal-title":"J. Financ. Res."},{"key":"ref_8","first-page":"63","article-title":"Study on credit asset allocation model of small and medium-sized enterprise customers in commercial Banks based on the principle of matching risk and return","volume":"6","author":"Sang","year":"2011","journal-title":"J. Financ. Dev. Res."},{"key":"ref_9","first-page":"140","article-title":"Overview of asset allocation theory and model","volume":"7","author":"Ren","year":"2007","journal-title":"Prod. Res."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1016\/j.econmod.2018.08.014","article-title":"Asset bubbles, banking stability and economic growth","volume":"78","author":"Wang","year":"2019","journal-title":"Econ. Model."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1016\/j.econmod.2017.07.006","article-title":"Discrete-time optimal asset allocation under Higher-Order Hidden Markov Model","volume":"66","author":"Zhu","year":"2017","journal-title":"Econ. Model."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1016\/j.econmod.2016.12.030","article-title":"Mean-variance portfolio selection with only risky assets under regime switching","volume":"62","author":"Zhang","year":"2017","journal-title":"Econ. Model."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1016\/j.econmod.2016.11.013","article-title":"Dynamic asset allocation and consumption under inflation inequality: The impacts of inflation experiences and expectations","volume":"61","author":"Li","year":"2017","journal-title":"Econ. Model."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.econmod.2017.01.016","article-title":"Asset quality, non-interest income, and bank profitability: Evidence from Indian banks","volume":"63","author":"Ahamed","year":"2017","journal-title":"Econ. Model."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"967","DOI":"10.1016\/j.econmod.2015.10.036","article-title":"Generalized asset pricing: Expected Downside Risk-based equilibrium modeling","volume":"52","author":"Ormos","year":"2016","journal-title":"Econ. Model."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1016\/j.ijinfomgt.2015.11.014","article-title":"Big data\u2019s role in expanding access to financial services in China","volume":"36","author":"Kshetri","year":"2016","journal-title":"Int. J. Inf. Manag."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"452","DOI":"10.1016\/j.ijinfomgt.2019.05.027","article-title":"Big data analytics for financial Market volatility forecast based on support vector machine","volume":"50","author":"Yang","year":"2020","journal-title":"Int. J. Inf. Manag."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"100833","DOI":"10.1016\/j.jfi.2019.100833","article-title":"Fintech and banking: What do we know?","volume":"41","author":"Thakor","year":"2020","journal-title":"J. Financ. Intermediation"}],"container-title":["Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2078-2489\/11\/10\/460\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T10:14:09Z","timestamp":1760177649000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2078-2489\/11\/10\/460"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,27]]},"references-count":18,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2020,10]]}},"alternative-id":["info11100460"],"URL":"https:\/\/doi.org\/10.3390\/info11100460","relation":{},"ISSN":["2078-2489"],"issn-type":[{"value":"2078-2489","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,9,27]]}}}