Here's a graph in which nodes (and edges) represent currencies (and exchange rates):library(igraph)currencies <- factor(c("EUR", "USD", "JPY", "GBP"))df <- subset(expand.grid(from=currencies, to=currencies), from != to)GetExchangeRate...

I will be giving a presentation on “Optimal transaction cost” in Vilnius on 16 August. While preparing the presentation and looking for an optimal execution solution, a natural question arises: does the size of the trade affect stock market price? I’m sure, you would say 100 % yes. Well, you would be right, but what is

"The R-Files" is an occasional series from Revolution Analytics, where we profile prominent members of the R Community. Name: Jeff Ryan Profession: Owner/Principal at Lemnica; Committee Member at R/Finance Nationality: American Years Using R: 8 Known for: R/Finance Conference, quantmod and xts packages Jeffrey Ryan is a Chicago-based quantitative software analyst and avid R user. He is perhaps best...

Guest post to R-bloggers by Dr Kris Boudt. ——————– R has always been my favorite language to forecast financial risk in my research and consulting. But, I have been reluctant to use it in my lectures on financial risk. It is certainly not the absence of appropriate R packages that refrained me. On the contrary, there is a large...

The most recent edition of the Revolution Newsletter is out. The news section is below, and you read the full July edition (with highlights from this blog and community events) online. You can subscribe to the Revolution Newsletter to get it monthly via email. Beta Test Revolution R Enterprise 5.0. Are you running R in a Microsoft environment? Revolution...

Financial analyst Greg Troccoli was a lone wolf when he predicted in July 2010 that “If the Index held at or above our proprietary support zone (1000.00- 950.00 region), it would eventually trade to a new historical high within 12 - 18 months (July- December 2011 timeframe)”. For reference, the S&P500 all-time high was 1565.15, and it closed...

In case you missed them, here are some articles from June of particular interest to R users. Highlights of presentations from the R/Finance 2011 conference. Trulia uses R and statistical models to map local crime. Resources for data mining with R. K-means clustering on large data sets with the RevoScaleR package. Revolution Analytics' CTO David Champagne writes on real-time...

Just as scientists should never really have to think much about statistics, I feel that, in an ideal world, statisticians would never have to worry about computing. In the real world, though, we have to spend a lot of time building our own tools.It would be great if we could routinely run R with speed and memory limitations...