After a four month simmer on various back burners and package conflicts, I’m pleased to announce that the successor to …Continue reading »

New Events Thalesians (London) 2012 November 21: Isabel Ehrlich on “Basket Options with Smile”. Abstract: Due to the distinct lack of models for basket options that remain consistent with the market smile we look at approximations that are able to accurately replicate the volatility smile. Notably we turn to the use of an Edgeworth series … Continue reading...

An introduction to estimating Value at Risk and Expected Shortfall, and some hints for doing it with R. Previously “The basics of Value at Risk and Expected Shortfall” provides an introduction to the subject. Starting ingredients Value at Risk (VaR) and Expected Shortfall (ES) are always about a portfolio. There are two basic ingredients that … Continue reading...

In the previous post, I demonstrated simple backtests for trading a number of assets ranked based on their 3, 6, 9, or 12 (i.e lookback periods) month simple returns. While it was not an exhaustive backtest, the results showed that when trading the top 8 ranked assets, the ranking based 3, 6, 9, and 12 … Continue reading...

This entry is part 12 of 12 in the series Using RIn two previous posts we described how R can call C code with .C() and the more complex yet more robust option of calling C code with .Call(). Here … read more ...

Specifics of statistical factor models and of a particular implementation of them. Previously Posts that are background for this one include: Three things factor models do Factor models of variance in finance The BurStFin R package The quality of variance matrix estimation The problem Someone asked me some questions about the statistical factor model in … Continue reading...

The article below is an updated version of an article I wrote for R-Bloggers in August 2010. As a first post I thought it was a good idea to introduce one of the best tool out there for quantitative trading: R R is a free software environment for statistical computing and graphics. It compiles and

Eventually this will be a blog about a reformed physicist's forays into data analysis in the world of finance. I'll be using R, Python, d3 and anything else I can get my hands on to serve up some tasty nuggets of data!

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