Comprehensive Financial Scenario Generation Engine

Create a sophisticated computational framework for generating realistic and diverse financial scenarios across multiple dimensions. Develop advanced generative modeling techniques using generative adversarial networks, variational autoencoders, and stochastic process models to create high-fidelity synthetic financial data. Design comprehensive validation and calibration methodologies to ensure generated scenarios maintain statistical properties of real-world financial systems.