Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.
Apply your finance and R skills to backtest, analyze, and optimize financial portfolios.
Learn about how dates work in R, and explore the world of if statements, loops, and functions using financial examples.
Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.
Work with risk-factor return series, study their empirical properties, and make estimates of value-at-risk.
Advance you R finance skills to backtest, analyze, and optimize financial portfolios.
This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.
Learn how to access financial data from local files as well as from internet sources.
Specify and fit GARCH models to forecast time-varying volatility and value-at-risk.
Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.
Learn the basics of cash flow valuation, work with human mortality data and build life insurance products in R.
Learn the fundamentals of valuing stocks.