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Center for Applied Mathematics and Operations Research

AMOR aims to be a leading research center for curiosity driven, groundbreaking and innovative research at the intersection of applied mathematics, artificial intelligence (AI), statistics, and operational challenges in business and industry.

About AMOR Finance & Insurance

AMOR Finance & Insurance develops cutting-edge mathematical, statistical, and AI-driven methodologies to address critical challenges in financial and insurance markets. The group focuses on enhancing risk modeling, asset allocation, and fraud detection while leveraging big data for improved forecasting and actuarial analysis.

It also explores innovative approaches to portfolio management and dynamic pricing using stochastic analysis and machine learning. By collaborating closely with industry partners, AMOR Finance & Insurance ensures its research remains both academically rigorous and practically impactful. 

 

AMOR Finance & Insurance research topics includes

  • Risk Modeling and Management
  • Complex derivatives pricing and mathematical portfolio theory.
  • Algorithmic and High-Frequency Trading
  • Mathematical Modeling of Credit and Liquidity Risk
  • AI and Machine Learning in Finance and Insurance

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