Are you innately curious about the dynamically inter-operating financial markets?

Since the crisis of 2008, there is a need for professionals with more understanding about statistics and data analysis, who can discuss the various risk metrics, particularly those involving extreme events.

By providing a resource for training students and professionals in basic and sophisticated analytics, this project meets that need. It offers both the intuition and basic vocabulary as a step towards the financial, statistical, and algorithmic knowledge required to resolve the industry problems. It depicts a systematic way of developing analytical programs for finance in the statistical language R for data science students and professionals. Build a hands-on laboratory and run many simulations. Explore the analytical fringes of investments and risk management.

Dirk Hugen and Mark Bennett help profit-seeking investors and analytics students sharpen their skills in many areas, including time-series, forecasting, portfolio selection, covariance clustering, prediction and derivative securities.