Hello everyone,
I am working on my master thesis and I am studying the use of machine learning (mainly classical neural networks and variations, such as convolutional neural networks) to price and hedge bond options. I obviously found plenty of research on ML for pricing and hedging equity options, but so far I have been unlucky with fixed income. Does anyone know of any paper about machine learning for fixed income derivatives?
Thank you in advance.