Quantitative Finance
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News, Slides and various discussions about quant finance
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Slides for R/Finance 2012

Slides for R/Finance 2012 | Quantitative Finance | Scoop.it
(This article was first published on tradeblotter » R, and kindly contributed to R-bloggers)
Another succeessful* year of R/Finance is behind us.
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Modern Toolmaking: 25+ more ways to bring data into R

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Writing from R to Excel with xlsx

Writing from R to Excel with xlsx | Quantitative Finance | Scoop.it
(This article was first published on tradeblotter » R, and kindly contributed to R-bloggers) Paul Teetor, who is doing yeoman’s duty as one of the organizers of the Chicago R User Group (CRUG), asked recently if I would do a short...
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Math symbols in R charts: a cheat sheet

Math symbols in R charts: a cheat sheet | Quantitative Finance | Scoop.it
(This article was first published on Revolutions, and kindly contributed to R-bloggers) If you're creating a scientific graphic in the R language, there's a good chance you'll be wanting to include some mathematical symbols somewhere on the...
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Writing a MS-Word document using R (with as little overhead as possible)

Writing a MS-Word document using R (with as little overhead as possible) | Quantitative Finance | Scoop.it
(This article was first published on R-statistics blog » RR-statistics blog, and kindly contributed to R-bloggers) The problem: producing a Word (.docx) file of a statistical report created in R, with as little overhead as possible.
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Some R User Group Presentations from Europe

Some R User Group Presentations from Europe | Quantitative Finance | Scoop.it
(This article was first published on Revolutions, and kindly contributed to R-bloggers) by Joseph Rickert I am beginning to get excited about going to Spain for useR 2013 which will be held at the University of Castilla-La Mancha, so I have...
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Summarizing Data in R Using Plyr and Reshape

(This article was first published on Mathew Analytics » R, and kindly contributed to R-bloggers) When work with large amounts of data that is structured in a tabular format, a common operation is to summarize that data in different ways...
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Maximum Sharpe Portfolio

Maximum Sharpe Portfolio | Quantitative Finance | Scoop.it
(This article was first published on Systematic Investor » R, and kindly contributed to R-bloggers) Maximum Sharpe Portfolio or Tangency Portfolio is a portfolio on the efficient frontier at the point where line drawn from the point (0,...
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Maximum Sharpe Portfolio

Maximum Sharpe Portfolio | Quantitative Finance | Scoop.it
Maximum Sharpe Portfolio or Tangency Portfolio is a portfolio on the efficient frontier at the point where line drawn from the point (0, risk-free rate) is tangent to the efficient frontier.
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The top 7 portfolio optimization problems

Stumbling blocks on the trek from theory to practical optimization in fund management.

 

Problem 1: portfolio optimization is too hardProblem 2: portfolio optimizers suggest too much tradingProblem 3: expected returns are neededProblem 4: mean-variance optimization is restrictiveProblem 5: portfolio optimization inputs are noisy estimatesProblem 6: transaction costs are trickyProblem 7: risk and alpha factor alignment trouble

 

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R needs some bureaucracy

R needs some bureaucracy | Quantitative Finance | Scoop.it
(This article was first published on The Shape of Code » R, and kindly contributed to R-bloggers) Writing a program in R is almost bureaucracy free: variables don’t need to be declared, the language does a reasonable job of guessing the...
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Digging into the VIX

Digging into the VIX | Quantitative Finance | Scoop.it
(This article was first published on Shifting sands, and kindly contributed to R-bloggers)
I wanted to revisit using some sort of volatility filter for systematic trading.
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Predicted correlations and portfolio optimization

Predicted correlations and portfolio optimization | Quantitative Finance | Scoop.it
(This article was first published on Portfolio Probe » R language, and kindly contributed to R-bloggers)
What effect do predicted correlations have when optimizing trades?
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Simulating Random Multivariate Correlated Data (Categorical Variables)

Simulating Random Multivariate Correlated Data (Categorical Variables) | Quantitative Finance | Scoop.it
(This article was first published on Statistical Research » R, and kindly contributed to R-bloggers)
This is a repost of the second part of an example that I posted last year but at the time I only had the PDF document (written in ).
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R in Insurance: Programme and Abstracts published

R in Insurance: Programme and Abstracts published | Quantitative Finance | Scoop.it
(This article was first published on mages' blog, and kindly contributed to R-bloggers) I am delighted to announce that the programme and abstracts for the first R in Insurance conference at Cass Business School in London, 15 July 2013,...
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Quandl Package – 5,000,000 free datasets at the tip of your fingers!

Quandl Package – 5,000,000 free datasets at the tip of your fingers! | Quantitative Finance | Scoop.it
(This article was first published on Econometrics by Simulation, and kindly contributed to R-bloggers)
# Yes, you read that correctly and no Quandl (http://www.quandl.com/) did not pay me anything.
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Using R: reading tables that need a little cleaning

Using R: reading tables that need a little cleaning | Quantitative Finance | Scoop.it
(This article was first published on There is grandeur in this view of life » R, and kindly contributed to R-bloggers) Sometimes one needs to read tables that are a bit messy, so that read.table doesn’t immediately recognize the content as...
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Visualize large data sets with the bigvis package

Visualize large data sets with the bigvis package | Quantitative Finance | Scoop.it
(This article was first published on Revolutions, and kindly contributed to R-bloggers) Creating visualizations of large data sets is a tough problem: with a limited number of pixels available on the screen (or just with the limited visual...
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A few lists for data scientists and statisticians

A few lists for data scientists and statisticians | Quantitative Finance | Scoop.it
(This article was first published on Revolutions, and kindly contributed to R-bloggers) Looking for more resources on the web or people to follow on Twitter?
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Dropbox & R Data

Dropbox & R Data | Quantitative Finance | Scoop.it
(This article was first published on Christopher Gandrud (간드루드 크리스토파), and kindly contributed to R-bloggers) I'm always looking for ways to download data from the internet into R.
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Production Quality Report with R and knitr on Yen

Production Quality Report with R and knitr on Yen | Quantitative Finance | Scoop.it
(This article was first published on Timely Portfolio, and kindly contributed to R-bloggers) Sometimes I actually use my experiments for real work. For example, I wanted to send an update on the Japanese Yen. This was a great opportunity...
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Dealing with different object types in a vector in R

Dealing with different object types in a vector in R | Quantitative Finance | Scoop.it
(This article was first published on We think therefore we R, and kindly contributed to R-bloggers) I came across a little problem while dealing with a vector in R which had one of the most simple solutions.
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Ordinal Data

Ordinal Data | Quantitative Finance | Scoop.it
(This article was first published on Wiekvoet, and kindly contributed to R-bloggers)
I expect to be getting some ordinal data, from 5 or 9 point rating scales, pretty soon, so I am having a look ahead how to treat those.
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Using R in LaTeX with knitr and RStudio

Using R in LaTeX with knitr and RStudio | Quantitative Finance | Scoop.it
(This article was first published on Statisfaction » R, and kindly contributed to R-bloggers) Hi, I presented today at INSEE R user group (FLR) how to use knitr (Sweave evolution) for writing documents which are self contained with respect...
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Shiny with PerformanceAnalytics Example

Shiny with PerformanceAnalytics Example | Quantitative Finance | Scoop.it
(This article was first published on rbresearch » R, and kindly contributed to R-bloggers)
The folks at Rstudio have done some amazing work with the shiny package.
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A volatility filter using historical vol

A volatility filter using historical vol | Quantitative Finance | Scoop.it
(This article was first published on Shifting sands, and kindly contributed to R-bloggers)
We have been looking at a way to improve risk adjusted returns by using a volatility filter.
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