Effective risk management with R

September 21, 2014

(This article was first published on Portfolio Probe » R language, and kindly contributed to R-bloggers)


The first EARL Conference (Effective Applications of the R Language) was held 2014 September 15-17 in London.


My talk was “Effective risk management with R” (annotated slides).

Instability hypothesis

When I was preparing for the talk, one of my ideas was to show the Google trend for searches for Minsky’s instability hypothesis.  I thought it would look a lot like Figure 1.

Figure 1: My guess of interest in the instability hypothesis over time. minskypriorMy impression is that the instability hypothesis is pretty much totally ignored except immediately following market crashes.  That’s the sort of thinking that allows the pattern to continue.

Figure 2: Google trend for: minsky instability hypothesis.

The trend that I actually saw was severely different from my prior.  This leads me to pretty much entirely discount the data.  Part of the problem is the small number of searches at any time.


I’ll tell ya truly that I sometimes lie

– from “What Kinda Guy?” by Steve Forbert

To leave a comment for the author, please follow the link and comment on their blog: Portfolio Probe » R language.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.


Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)