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Research
AI-Driven Financial Services

The AI-driven Financial Service program strives to advance game-changing commercializable research in the spaces of retail lending, production & supply-chain financing, capital markets, institutional banking, and financial regulation. We support R&D efforts in broad areas of business and finance, emphasizing fresh approaches and novel solutions that are driven by AI and big data.

These include extracting business value from data that is transferable across behavioral scenarios, developing augmented intelligence to facilitate credit and insurance decision-making, promoting novel practices of financial risk management to strengthen financial stability, and FinTech applications to hedging and financing in production and supply-chain.

From wealth management to blockchain and token technologies, we support cutting-edge research with commercial potential in optimization and machine learning algorithms, deploying reinforcement learning and deep neural networks.

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Research
AI-Enhanced Financial Technology​

The AI-enhanced Financial Technology program commits to nurturing ground-breaking technologies with in-depth research potential that are relevant to contemporary business and finance.

We support projects with commercial potential in novel wealth management solutions utilizing advanced ideas from data science, optimization and control.

We deploy machine learning algorithms including reinforcement learning and deep neural networks, leveraging federated machine learning structures and their application in asset pricing and investor behaviour. We also support blockchain and token technologies for application in securitization and asset management; smart contracts, and digital currencies.

Social media provides a gold mine of data for understanding and forecasting financial market environments. We aim to leverage the power of AI-driven technology and the availability of social media big data to serve a wide range of clients from regulators to investors.

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Research
Social Media Analytics for FinTech & Services​

Social media provides a massive quantity of data, constantly updated, which may be used to understand and forecast financial market environments. This data directly affects how the economy operates, how investors make decisions, how regulators function, how the public responds, and how economies/markets interact. We aim to leverage the power of AI-driven technology and the availability of such data to develop and deploy a set of intelligence systems in three key domains; financial opinion, international financial relations, and the financial darknet.

These systems can be commercialized in two formats: syndicated products such as trend reports, and customized services such as live-monitoring visualizers.

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A Blockchain-Based Data Sharing Platform for Financial Applications

A Blockchain-Based Data Sharing Platform for Financial Applications

This project aims to establish a secure and verifiable data sharing infrastructure with built-in security and privacy using blockchain technology. By storing and sharing…

AI Solver for Hard Financial Decision Making

AI Solver for Hard Financial Decision Making

This project aims to develop efficient AI solution methodologies for solving long-standing financial optimization problems and challenging issues that are emerging. The final deliverable…

An Enterprise-Grade Solution for Digital Asset Safeguarding and Transaction

An Enterprise-Grade Solution for Digital Asset Safeguarding and Transaction

We propose an enterprise-grade solution for digital asset safeguarding and transaction through the integration of end-to-end hardware and software security, thus achieving scalability, availability,…

Analytics for Digital Relationship Management

Analytics for Digital Relationship Management

We investigate the relative contributions of online and offline channels to the total value generated in financial services systems. This information can be used…

Counter-Cyclical Margin Calculation System for Option Portfolios

Counter-Cyclical Margin Calculation System for Option Portfolios

We develop a counter-cyclical margin calculation system app for option portfolios aimed at mitigating procyclicality whilst making full use of possible hedge properties within…

Cryptocurrency and Darknet Financial Activities

Cryptocurrency and Darknet Financial Activities

A wide range of negative activities such as misinformation, spamming messages, hack attacks, online frauds, etc. can originate from financial darknet services which are…

Data-Driven Wealth Management

Data-Driven Wealth Management

We apply robust optimization and machine learning techniques to develop data-driven asset management models that are free from parameter estimation and are relatively stable…

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