A Short Introduction On Using R For Tail-Risk Analytics

Interactive Brokers (IB) just published the second installment in a series I’m writing for the brokerage firm about using R for portfolio analysis: Modeling Tail Risk In R With Value at Risk. Today’s update (part deux) is more or less adapted from my recent book: Quantitative Investment Portfolio Analytics In R: An Introduction To R For Modeling Portfolio Risk and Return. There’s so much more to say about tail risk beyond VaR, of course, and in due course I’ll explore some of the finer points through an R lens in my IB column. Meantime, you can go deeper down this rabbit hole in Chapter 7: Modeling Tail Risk in Quantitative Investment Portfolio Analytics In R.

One thought on “A Short Introduction On Using R For Tail-Risk Analytics

  1. Pingback: Quantocracy's Daily Wrap for 08/29/2018 | Quantocracy

Leave a Reply

Your email address will not be published. Required fields are marked *