Complex Financial Risk Modeling Index Strategy

Create an advanced indexing strategy for a complex financial risk modeling database handling massive datasets with time-series financial instruments. Design composite and specialized indexes that can dramatically improve query performance for complex financial calculations involving Monte Carlo simulations, derivative pricing, and real-time risk assessment. Include specific recommendations for handling composite indexes across multiple dimensions, managing index fragmentation, and maintaining query efficiency with datasets exceeding 10 terabytes.