894 search results for "finance"

Does anything NOT beat the GARCH(1,1)?

January 7, 2013
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Does anything NOT beat the GARCH(1,1)?

In their paper on GARCH model comparison, Hansen and Lunde (2005) present evidence that among 330 different models, and using daily data on the DM/$ rate and IBM stock returns, no model does significantly better at predicting volatility (based on a realized measure) than the GARCH(1,1) model, for an out of sample period of about

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Does anything NOT beat the GARCH(1,1)?

January 7, 2013
By
Does anything NOT beat the GARCH(1,1)?

In their paper on GARCH model comparison, Hansen and Lunde (2005) present evidence that among 330 different models, and using daily data on the DM/$ rate and IBM stock returns, no model does significantly better at predicting volatility (based on a realized measure) than the GARCH(1,1) model, for an out of sample period of about

Read more »

Market predictions for year 2013

January 7, 2013
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Market predictions for year 2013

Calibrations of 2013 predictions for 18 equity indices — plus some publicly available predictions. Orientation The distributions are an attempt to see the variability if there were no market-driving news for the whole year. Another way of thinking: mentally moving the distribution to center on a prediction gives a sense of the variability of results … Continue reading...

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Software engineer’s guide to getting started with data science

December 30, 2012
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Software engineer’s guide to getting started with data science

Many of my software engineer friends ask me about learning data science. There are many articles on this subject from renowned data scientists (Dataspora, Gigaom, Quora, Hilary Mason). This post captures my journey (a software engin...

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Learn to use R for FREE with Coursera

December 21, 2012
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Learn to use R for FREE with Coursera

Coursera is offering free courses about R among other interesting subjects. The first one on the application of R in financial econometrics is happening this week (but you can still enroll). There are two more courses starting in January 2013 are more about using R to analyse the data. The differences between the two are

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Shiny/R Conversion of Another One of My Favorite Mike Bostock d3 Examples

December 20, 2012
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Mike Bostock has revolutionized visualization with his d3 and his seemingly infinite examples.  In another adaptation of his amazing work, I will adapt one of my favorite examples to supplement the interactive scatterplot with data supplied by R t...

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R in Insurance Conference, London, 15 July 2013

December 19, 2012
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R in Insurance Conference, London, 15 July 2013

The first conference on R in Insurance will be held on Monday 15 July 2013 at Cass Business School in London, UK. The intended audience of the conference includes both academics and practitioners who are active or interested in the applications of R in insurance.This one-day conference will focus on applications in insurance...

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A look at historical Value at Risk

December 17, 2012
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A look at historical Value at Risk

Historical Value at Risk (VaR) is very popular because it is easy and intuitive: use the empirical distribution of some specific number of past returns for the portfolio. Previously “The estimation of Value at Risk and Expected Shortfall” included an R function to estimate historical VaR. Generating portfolios A useful tool to explore risk models … Continue reading...

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Shiny, R, d3 Adaptation of Mike Bostock’s Calendar

December 13, 2012
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Shiny, R, d3 Adaptation of Mike Bostock’s Calendar

The idea with all the posts http://timelyportfolio.blogspot.com/search/label/shiny was to learn both d3 and shiny by iterating through multiple experiments.  This example adaptation was my quickest yet at about 30 minutes.  Mike Bostock had d...

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analyze the american community survey (acs) with r and monetdb

December 10, 2012
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experimental.  think of the american community survey (acs) as the united states' census for off-years - the ones that don't end in zero.  every year, one percent of all americans respond, making it the largest complex sample administered by ...

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