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visits member for 1 year, 7 months
seen May 15 at 16:05
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Jan
26
comment From a high frequency point of view, with a price prediction and assuming infinite leverage, how do you determine optimal trade size?
You need to work on your acceptance rate (here, at SO, and across SE in general) ...
Jan
26
comment What exactly is meant by “microstructure noise”?
Group 1 being agnostic means that they can't be bothered, as long as they have a good stochastic model for it, and as long as they can filter it out. If you care about the origin, and want to develop some intuition for it, then read some Group 2 papers. It's a fun read, but it won't help you much with 1. The most typical culprit for HF noise is the so called bid-ask bounce.
Jan
11
comment One dimensional analog of cleansing a correlation matrix via random matrix theory
+1. Keep in mind that the decomposition above exists only for normal matrices - that's a spectral theorem in math-speak. In particular, correlation matrices are symmetric, hence normal.
Jan
8
comment Is equity market making a game of speed?
To nitpick, nobody who currently finds success. Revealing strategies that used to be profitable is not completely unreasonable.
Dec
3
comment How to define and measure liquidity or funding premium in credit markets?
Nice find. I mostly go by Bao et al, but this looks good.
Nov
14
comment How to check if a timeseries is stationary?
You can use the DWT and MODWT functions in that package to construct the test. I doubt the test itself is implemented. Maybe you can find the code at the authors' webpages.
Nov
3
comment Can social media be applied to algorithmic trading?
10 years ... that's interesting. It'd be great if you could dig out a link.
Nov
2
comment Recommendations for books to understand the math in quantitative finance papers?
@SRKX, that's exactly what I did. Given the upvotes, voting for a close deserved a comment.
Oct
31
comment What skills and education are required for HFT?
You'll have more luck with this type of questions at quantnet.
Oct
31
comment How random are financial data series?
- "no uniform explanation what the random walk is" is very inaccurate. A random walk is a very well defined object.
Oct
31
comment How to value a floor when a loan is callable?
Brian, let them post the solution for extra credit.
Oct
31
comment Recommendations for books to understand the math in quantitative finance papers?
This should be closed. Clearly a pooling question of the “What’s your favorite ______?” type.
Oct
29
comment Empirical or theoretical quant insights that have shaped your thinking?
+1. “There is beta you understand and there is beta you do not understand.”. Reminds me of a quote from one of his papers: "Exotic betas are my alpha".
Oct
29
comment Probability distributions in quantitative finance
@Shane, I agree it is border line off topic as phrased. But many questions of the "most popular" kind turned out to be really good wikis on SO/SE sites, no?
Oct
29
comment Probability distributions in quantitative finance
Why close? If anything it could be community wiki.
Oct
29
comment How to annualize Sharpe Ratio?
How about some Latex? ;)
Oct
27
comment How to cluster stocks and construct an affinity matrix?
@Alchemist: you can't down vote comments, but you can flag them. See the FAQ.
Oct
27
comment How to normalize Futures data(different leverage) for cointegration test?
A "normalization" can be a useful nonlinear transformation quite different from differencing (which should be generally avoided, as you suggest - unless one is dealing with higher order cointegration).
Oct
27
comment What strategy would benefit most from having the fastest connection to the exchange?
It isn't an established terminology. The gist of the idea is in "negative spreads". In this answer on quant.SE there is a link to a great animation of the LOB. Somewhere there you can see that at times in the consolidated LOB spreads are negative.
Oct
24
comment Is there a quantitative finance ranking system for universities?
Andy, thanks for fixing that. It is obvious to me, but most people don't check profiles. Also, from the FAQ: Be careful, because the community frowns on overt self-promotion and tends to vote it down and flag it as spam. Post good, relevant answers, and if some (but not all) happen to be about your product or website, so be it. However, you must disclose your affiliation in your answers.