Algorithmic Risk Assessment Database Optimization

Create an advanced MySQL stored procedure for real-time financial risk assessment that processes complex mathematical models across multiple data sources. Develop a solution that can handle probabilistic calculations, supports concurrent execution for 100+ simultaneous risk models, and implements robust error handling and logging mechanisms. Include performance benchmarks and explain the computational strategies used to minimize query execution time.