The organizing committee is pleased to invite you to take part in 2020 BenchCouncil International Symposium on Financial Technology (FinTech 20) to be held in Qingdao, a beautiful seaside city in China. The main theme of FinTech 20 is AI and Computer Sciences for Finance. FinTech 20 is a part of 2020 BenchCouncil Federated Intelligent Computing and Block Chain Conferences (FICC 2020). This conference organization retains the advantages of a smaller conference, while at the same time, facilitates communication, collaboration, and interplay among different disciplines. Hereby, FinTech 20 is for the communication, collaboration, and interplay among the communities of Finance,AI, and Computer Sciences.

Since its founding, BenchCouncil has two fundamental responsibilities. On one hand, it encourages data-driven, intelligence-inspired, and benchmark-based quantitative approaches to tackle multi-disciplinary challenges. On the other hand, BenchCouncil incubates benchmark projects and hosts the BenchCouncil benchmark projects, and further encourages reliable and reproducible research using those benchmarks. To that end, we present the BenchCouncil Award for Excellence for Reproducible Research to the papers related with those projects (each paper $100 prize, maximally up to 15 papers for FinTech 20). We welcome the industry leaders as sponsors to provide the testbed and the honorariums for the above awards.

In addition, we will invite influential speakers from around the world.


General Co-Chairs:

Changyun Wang, Dean of Hanqing Advanced Institute of Economics and Finance, Renmin University of China

Weiping Li, Oklahoma State University

Program Co-Chairs:

Zhigang Qiu, Associate Dean of Hanqing Advanced Institute of Economics and Finance, Renmin University of China



Time Presenter and Agenda
Nov. 2nd Morning, Main Forum of FinTech 20 & BChain 20
08:40-09:00 Opening remarks (Local leaders and general chairs)
09:00-09:30 Stefano Giglio, Yale University
09:30-10:00 Who is in charge of my data? Shuo Bai, Former Chief Engineer of Shanghai Stock Exchange
10:00-10:30 What Differences Does Machine Learning Make in Finance? Guofu Zhou, Washington University in St Louis
10:30-11:00 Jinyan Hu, Qingdao University
11:00-11:30 Big data block chain accelerates human-computer integration, Gang Huang, Peking University
11:30-12:00 New financial risk control under the "dual cycle" economic structure, Zukai Zhang, Dingxiang Technologies
Nov. 2nd Afternoon, Main Forum of FinTech 20 & BChain 20
14:00-14:30 Redesign Internet services based on blockchain, Chunming Rong, Academician of the Norwegian Academy of Engineering
14:30-15:00 Security and Privacy for Blockchain-based Big Data Sharing, Jiannong Cao, Fellow of European Academy of Sciences, Hong Kong Polytechnic University
15:00-15:30 Jianan Guo, Tencent
15:30-16:00 Application and landing of artificial intelligence in intelligent marketing of commercial banks, Runbang Cui, Fantaike
16:00-16:30 Federal intelligence accelerates AI landing, Zeyuan Li, Ping An Technology (Shenzhen)
16:30-17:00 Fintech helps the development of the digital economy, Xiaoqiong Ding, SinoCapital
Nov. 2nd Morning, Financial Big Data and Quantitative Investment --Chair: Fuwei Jiang
14:00-14:30 Fintech Riding the Wind and Waves, Xiaoneng Zhu, Shanghai University of Finance and Economics
14:30-15:00 Do social media big data and news contain predictive information about financial markets? Hui Bu, Beihang University
15:00-15:30 Research on Financial Big Data Asset Pricing Based on Auto-encoding Machine Learning, Guohao Tang, Hunan University
15:30-16:00 COVID-19 and Vulnerable Offline Micro Businesses in China, Jingyi Wang, Central University of Finance and Economics Hui Bu, Beihang University
16:00-16:30 Big data and systemic risk monitoring, Shinan Cao, University of International Business and Economics
Nov. 2nd Afternoon, Technology-enabled Transformation of Financial Institutions --Chair: Haoyu Gao
14:00-14:30 BigTech and the changing structure of financial intermediation?Yi Huang, University of Geneva
14:30-15:00 Social Welfare Estimation and Experience Reference of China's Online Car-hailing, Meng Miao, Renmin University of China
15:00-15:30 Modeling and Application of intelligent risk control enabled by Big data, Wei Xu, Renmin University of China
15:30-16:00 Practice and Thinking on the Construction of Data Center, Jun Li, BOC Fullerton Community Bank
16:00-16:30 The development of fintech in China's investment advisory industry is intelligent, Wenzhi Wang, EFunds
Nov. 3rd Morning,Digital Currency, Machine Learning and Capital Market --Chair: Ke Wu
09:00-09:30 AI Applications in Financial Economics, Lin William Cong, Cornell University (Online)
09:30-10:00 Portfolio Choice with Subset Combination of Characteristics, Guoshi Tong, Hanqing Advanced Institute of Economics and Finance, Renmin University of China
10:00-10:30 Dissecting the Cross-section of Stock Returns Nonparametrically: New Evidence from China, Ke Wu, Hanqing Advanced Institute of Economics and Finance, Renmin University of China
10:30-11:00 Integration of Fuzzy Learning, Autoen(de) coder, and Reinforcement Learning Timing Strategies on Stock IndicesXi Wang, Peking University
11:00-11:30 Liquidity in the Cryptocurrency Market and Commonalities across Anomalies, Yifeng Zhu, Central University of Finance and Economics
Nov. 3rd Morning, Regular Papers of FinTechi 20
09:00-09:20 Selective Multi-source Transfer Learning with Wasserstein Domain Distance for Financial Fraud Detection
09:20-09:40 A Stock Index Prediction Method and Trading Strategy Based on the Combination of Lasso-Grid Search- Random Forest
09:40-10:00 Dynamic Copula Analysis of the Effect of COVID-19 Pandemic on Global Banking Systemic Risk
10:00-10:20 Real-Time Order Scheduling in Credit Factories: A Multi-Agent Reinforcement Learning Approach
10:20-10:40 Predicting Digital Currency Price Using Broad Learning System and Genetic Algorithm


Name Address Type Price Contact
Chateau Star River Qingdao Two kilometers west of the intersection of Huanwan Avenue and Binhai West Road, Chengyang District, Qingdao Standard Room/King Room/Suite 450/450/900