Financial Analytics with R Building a Laptop Laboratory for Data Science [推广有奖]

Are you innately curious about 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 book meets that need. It offers both the intuition and basic
vocabulary as a step toward the financial, statistical, and algorithmic knowledge required
to resolve the industry problems, and it depicts a systematic way of developing analytical
programs for finance in the statistical language R. Build a hands-on laboratory and run
many simulations. Explore the analytical fringes of investments and risk management.
Bennett and Hugen help profit-seeking investors and data science students sharpen
their skills in many areas, including time-series, forecasting, portfolio selection, covariance
clustering, prediction, and derivative securities.