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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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Detecting and Predicting International Financial Relations

Detecting and Predicting International Financial Relations

AI technology has proven to be an effective and efficient tool to monitor international financial relations for countries, organizations, and individuals alike. In this…
  • Social Media Analytics for Financial Technology and Services
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Detecting and Predicting Public Opinion on Financial Environment

Detecting and Predicting Public Opinion on Financial Environment

Social media has proven to be a highly cost-effective alternative to traditional monitored mechanisms for detecting and predicting public opinion trends in financial market…
  • Social Media Analytics for Financial Technology and Services
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Development of DeFi Platform, Stablecoin, Option Smart Contract and Other Digitized Products

Development of DeFi Platform, Stablecoin, Option Smart Contract and Other Digitized Products

Decentralized Finance (DeFi) is increasingly used to create financial derivatives on blockchain, but the lack of stable digital basis assets currently implies considerable risk….
  • AI-Enhanced Financial Technology, Headlines
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Financial Decision Support for Managing Infrastructure Risks

Financial Decision Support for Managing Infrastructure Risks

We offer a new decision-making framework for controlling the risk associated with insuring infrastructure projects for climate risk and technology obsolescence. We build tools…
  • AI-Driven Financial Services
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Financial Sentiment Analysis and Market Prediction

Financial Sentiment Analysis and Market Prediction

We construct a real-time market sentiment index with three main components: sentiment extracted from social media, from market data, and option implied information. We…
  • AI-Driven Financial Services, Headlines
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Forecasting Tail Risk in Financial Markets

Forecasting Tail Risk in Financial Markets

This project investigates the forecasting problem of tail risk in financial markets and its implications for financial regulation. What keep risk managers awake at…
  • AI-Driven Financial Services
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Hybrid Ensemble Modelling for Fraud Detection in Insurance Industry

Hybrid Ensemble Modelling for Fraud Detection in Insurance Industry

This project develops a hybrid ensemble modelling approach that can help insurance companies combat fraud in more efficient ways. The key idea is to…
  • AI-Driven Financial Services
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