283 search results for "market research"

Judging panel for Applications of R in Business contest

December 6, 2011
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Now that the final submissions are in for the Applications of R in Business contest, it's time to announce the judging panel who will select the winners for $20,000 in cash prizes from Revolution Analytics. They are: Edd Dumbill, technologist and writer for O'Reilly Media David Menninger, VP & Research Director at Ventana Research Steve Miller, technology writer and...

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Resampling and Shrinkage : Solutions to Instability of mean-variance efficient portfolios

November 11, 2011
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Resampling and Shrinkage : Solutions to Instability of mean-variance efficient portfolios

Small changes in the input assumptions often lead to very different efficient portfolios constructed with mean-variance optimization. I will discuss Resampling and Covariance Shrinkage Estimator – two common techniques to make portfolios in the mean-variance efficient frontier more diversified and immune to small changes in the input assumptions. Resampling was introduced by Michaud in Efficient

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In case you missed it: October Roundup

November 10, 2011
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In case you missed them, here are some articles from October of particular interest to R users. The creator of the ggplot2 package, Hadley Wickham, shares details on some forthcoming big-data graphics functions (based on research sponsored by Revolution Analytics). A list of several dozen free data sources that can easily be imported into R. Bob Muenchen gave a...

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The mystery of volatility estimates from daily versus monthly returns

November 8, 2011
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The mystery of volatility estimates from daily versus monthly returns

What drives the estimates apart? Previously A post by Investment Performance Guy prompted “Variability of volatility estimates from daily data”. In my comments to the original post I suggested that using daily data to estimate volatility would be equivalent to using monthly data except with less variability.  Dave, the Investment Performance Guy, proposed the exquisitely … Continue reading...

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Webinar on Portfolio Rebalancing with R and Sybase

November 3, 2011
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R users in the financial industry may be interested in the following webinar hosted by Revolution Analytics' partner Sybase on November 10: Portfolio Rebalancing Using R and Sybase RAP for Intraday Risk Management With volatility and violent intraday swings becoming the new normal, intraday risk controls are now needed to not only reduce your exposures across multiple asset classes,...

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Modern Portfolio Optimization Theory: The idea

November 3, 2011
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Modern Portfolio Optimization Theory: The idea

We were recently given a lecture (by Dr. Susan Thomas) on Harry Markowitz portfolio optimization theory, and I was really fascinating with the noble laureate's story of how he found it difficult to convince his guide about the importance of h...

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R versus SAS/SPSS in corporations

October 28, 2011
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R versus SAS/SPSS in corporations

A recent question on one of the LinkedIn groups about the advantages of using R over commercial tools like SAS or IBM SPSS Modeller drew lots of comments for R. We like R a lot and we use it extensively, but I also wanted to balance the discussion. R is great, but looking at commercial organizations near...

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R versus SAS/SPSS in corporations

October 28, 2011
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R versus SAS/SPSS in corporations

A recent question on one of the LinkedIn groups about the advantages of using R over commercial tools like SAS or IBM SPSS Modeller drew lots of comments for R. We like R a lot and we use it...

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Two seasonal investors – R snippet

October 24, 2011
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Two seasonal investors – R snippet

In “A tale of 2 Seasonal Investors“, the Big Picture discusses the simple idea of comparing two simple investment approaches: being exposed to the market 6 months every year (from November to April), as opposed to investing in the other 6 months of every year (from May to October). Going back 50 years in the

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Principal component analysis : Use extended to Financial economics : Part 2

October 22, 2011
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My previous post talked about how we can employ PCA on the data for multiple stock returns to reduce the number of variables in explaining the variance of the underlying data. But the idea was greeted with skepticism by many. A caveat to the applicatio...

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