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Jan
31
comment How to work out weights for a portfolio based on an inverse ratio with positive and negative values?
You mean when EBIT<0? Then just take EBIT/EV instead.
Jan
31
comment What to do with linear regression or regression splines outside of the training range?
There seems to be answers your link. You aren't satisfied with them? This topic is more relevant over there.
Jan
30
reviewed Approve suggested edit on What are the options for a mathematician to break into QF without working for a fund?
Jan
23
comment Robust-Bayesian optimization in Markowitz framework
His book has appendices that show the derivation for robust Bayesian optimization (available at symmys.com)
Jan
18
comment How to simulate one-minute bars data from one-day bars?
You're not able to get one-minute bars? Why not simulate one-minute and then construct simulated one-day bars using that information? At least that way it is consistent.
Jan
17
comment When hiring a quant, how can I protect my IP?
@Freddy, the only other case I recall off the top of my head is Eric Falkenstein and Telluride, but I'm sure there are others.
Jan
17
comment When hiring a quant, how can I protect my IP?
NDA may not prevent the theft, but it can provide recourse (though they are more effectively used by larger organizations that can afford to pay lawyers for an extended period than a one-man shop likely would). Nevertheless, I'm still impressed by how much you(@Freddy) had thought it through.
Jan
15
answered Squared and Absolute Returns
Jan
14
comment Regime switching in mean reverting stochastic process
I wasn't talking about that specific class of models, but you may need to get more data.
Jan
11
comment Regime switching in mean reverting stochastic process
This is closely related, but I'm not sure whether that R package can fit autoregressive models that you are looking to fit.
Jan
10
comment Regime switching in mean reverting stochastic process
You might want to learn more about regime-switching. Also, try to fit one of the models using that Matlab package to get a better sense of what you're dealing with.
Jan
9
revised What data transformations to use in regression of credit spreads on equity prices?
deleted 1838 characters in body
Jan
9
comment What data transformations to use in regression of credit spreads on equity prices?
That's effectively PCA on a correlation matrix, so what I said probably wouldn't apply.
Jan
9
comment What data transformations to use in regression of credit spreads on equity prices?
@Freddy 1) If both the equity returns and spreads are in percent, then the equity returns will dominate the first PC (if done on the covariance matrix). 2) I used to create factors when some variables were stationary and mean-reverting, but I have been less comfortable with that approach over time. Have you noticed any downside?
Jan
9
answered What data transformations to use in regression of credit spreads on equity prices?
Jan
8
answered Regime switching in mean reverting stochastic process
Jan
8
comment How to fit ARMA+GARCH Model In R?
In practice, it is often easier to just make the AR part of the ARMA long enough so that it encapsulates however much MA the series is. This way you can just use normal regression methods instead of relying on numerical methods for ARMA.
Jan
5
comment Yield of a risky bond
@Freddy I see your point, but then what he really would want to know is, not what the yield is and how to calculate it, but how to price the bond. A broad topic, to be sure, but the OP did not provide sufficient information in the question to be sure that's what he was wondering about.
Jan
4
comment Is this comment right about subadditivity?
Your interpretation is the correct one. VaR is not subadditive, but Expected Shortfall/CVaR is.
Jan
4
answered Optimizing a currency only portfolio with negative weights