Efficient Pricing of Bermudan Swaptions using Deep Joint Learning Techniques

This paper proposes an efficient deep learning-based approach to price Bermudan swaptions, a complex financial derivative, by combining sophisticated neural network concepts like differential machine learning, Monte Carlo simulation-based training, and joint learning.