Application of Graph Theory Concepts in Finance with QuantLib

The chapter explores utilizing graph theory concepts in finance using QuantLib, detailing the process of finding shortest paths through a graph for financial applications like arbitrage and position optimization. It also touches on the complexities in finance and software development, discussing QuantLib as a game engine for building financial models and the importance of debugging and tooling in complex projects.