Background and ideaOften we are looking at a particular sector, and want to get a quick overview of a group of companies relative to one another. I thought I might apply Multidimensional Scaling (MDS) to various financial ratios and see if it...

The R language gets a brief mention in an article in yesterday's New York Times on automated bond trading: The traders here are mostly educated in math or physics, often outside the United States, and their desks are piled high with textbooks like the “R Graphs Cookbook,” for working with obscure computer programming languages. R an obscure programming language?...

A simple portfolio optimization problem is used to look at several R functions that use randomness in various ways to do optimization. Orientation Some optimization problems are really hard. In these cases sometimes the best approach is to use randomness to get an approximate answer. Once you decide to go down this route, you need … Continue reading...

Portfolio diversity is a balancing act. Previously The post “Portfolio diversity” talked about the role of the correlation between assets and the portfolio. The current post fills a hole in that post. The 2 dimensions asset-portfolio correlation Each asset in the universe has a correlation with the portfolio. If there are any assets that have … Continue reading...

At a talk I saw at the useR!2012 conference last month, Googler Karl Millar estimated that there are at least 200 active R users at Google, plus another 300+ occasional users participating in Google's internal R support list. But what are all these Google employees doing with R? A post from the Google Research team published on Google+ yesterday...

We look at volatility clustering, and some aspects of modeling it with a univariate GARCH(1,1) model. Volatility clustering Volatility clustering — the phenomenon of there being periods of relative calm and periods of high volatility — is a seemingly universal attribute of market data. There is no universally accepted explanation of it. GARCH (Generalized AutoRegressive … Continue reading...

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