An open source programming language and software environment for statistical computing and graphics.
6
votes
2answers
1k views
robust portfolio optimization re-balancing with transaction costs
The optimal re-balancing strategy takes account of factors including i) objective function, ii) current portfolio weights, iii) expected return vector containing updated views/alpha forecasts, iv) ...
6
votes
3answers
988 views
R code for Ornstein-Uhlenbeck process
Can any one help me with some R code to run Ornstein-Uhlenbeck process?
3
votes
1answer
616 views
Valuing Total Return Swaps
In my quest for simulated data, I am trying to generate prices for Total Return Swaps by calculating the NPVs of the fixed and floating leg. My problem: Given the fixed leg, how do I set the spread on ...
5
votes
2answers
933 views
Quantmod: what's the difference between ROC(Cl(SPY)) and ClCl(SPY)
I feel like I'm missing something fundamental here, but I can't shake the feeling that these two series should be equivalent.
/edit: there is also dailyReturn(Cl(SPY)). I've seen all 3 of these ...
10
votes
2answers
662 views
Simulating Returns
I'll start this off with a rather broad question: I am trying to simulate returns of a large number of assets within a portfolio of different classes - equity and fixed income in a first step, say 100 ...
31
votes
10answers
10k views
Switching from C++ to R - limitations/applications
I've only recently begun exploring and learning R (especially since Dirk recommended RStudio and a lot of people in here speak highly of R). I'm rather C(++) oriented, so it got me thinking - what are ...
7
votes
2answers
950 views
Is there a technique for using xts or zoo objects with options data (i.e., many entries per date) in R?
I am starting to work with options data from optionmetrics. I use data frames, but it seems like xts or zoo objects are the way to go for features and speed. I can't figure out the best work-around to ...
