Data applications in quantitative finance KU Leuven
The PhD research consists of two parts, each discussing the application of one specific type of data in the field of quantitative finance. In the first part, we examine how machine learning models can be trained to compute prices of financial derivatives. Current state-of-the-art derivatives pricing models have become complex, and one often needs to rely on time-consuming numerical methods to evaluate them and compute prices. The objective of ...