Thoughts on LSPM from R/Finance 2010
I just got back from R/Finance 2010
in Chicago. If you couldn't make it this year, I strongly encourage you to attend next year. I will post a more comprehensive review of the event in the next couple days, but I wanted to share some of my notes specific to LSPM
- How sensitive are optimal-f values to the method used to construct the joint probability table?
- Is there an optimizer better suited for this problem (e.g. CMA-ES, or adaptive differential evolution)?
- How accurate are the estimates of the probability of drawdown, ruin, profit, etc.?
- What could be learned from ruin theory (see the actuar package)?
These notes are mostly from many great conversations I had with other attendees, rather than thoughts I had while listening to the presentations. That is not a criticism of the presentations, but an illustration of the quality of the other conference-goers.
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