量化分析师 在 R 中

Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.

Learn about how dates work in R, and explore the world of if statements, loops, and functions using financial examples.

Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.

Learn how to access financial data from local files as well as from internet sources.

Learn the core techniques necessary to extract meaningful insights from time series data.

Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.

Strengthen your knowledge of the topics covered in Manipulating Time Series in R using real case study data.

Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.

Learn how to visualize time series in R, then practice with a stock-picking case study.

Apply your finance and R skills to backtest, analyze, and optimize financial portfolios.

Advance you R finance skills to backtest, analyze, and optimize financial portfolios.

Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.

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.

This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.