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bio website researchgate.net/profile/…
location Vienna
age 31
visits member for 11 months
seen May 14 at 7:53
stats profile views 128

Risk Manager at Raiffeisen Capital Management

External Lecturer at Vienna University of Technology


Feb
1
comment What to do with linear regression or regression splines outside of the training range?
@John I have the feeling that some questions are relevant and interesting for QSE as well as StatsSE - I am thinking of regression and similar topics. However these problems are probably treated differently here and there. So I am/was interested in some more views here. I hope that some more comments come in. Coming back: I think in quantitative finance a regression model in some kind is often applied and then my question can easily arise.
Jan
31
asked What to do with linear regression or regression splines outside of the training range?
Jan
31
comment Pricing in HJM framework
My point above was that in case one wants to do real curve modelling (shape and volas) one has to use something advanced - advanced short rate models or HJM. For example for the generalized Hull White model one could calibrate it to traded Swaptions with the terms and maturities matching the terms that you want to model in the volatilities. Reading the paper Nr.2 will hopefully give you some more insight - it is the best thing I've ever seen on HJM. Nr. 3 offers a nice application step by step.
Jan
31
comment Pricing in HJM framework
@hulik but you will not be able to have all curve shapes with Vasicek, Ho Lee or CIR - you need the Hull White model to get the curve right and you need the generalized Hull White model if you want to model time dependent volatilities -> then we are already close to HJM conerning complexity.
Jan
31
comment Pricing in HJM framework
@SRKX thanks for pointing this out - I think you hit the point +1 from my side ;)
Jan
30
revised Pricing in HJM framework
deleted 21 characters in body
Jan
30
revised Predict Quadratic Trend in Time Series
code formatting
Jan
30
awarded  Informed
Jan
30
answered Predict Quadratic Trend in Time Series
Jan
30
comment Predict Quadratic Trend in Time Series
And I can't really read the formula in lm. Shouldn't it just be lm(sales~year+I(year^2)) equivalent to lm(sales~year+year.sq) ?
Jan
30
comment Predict Quadratic Trend in Time Series
Should it be $1985:2003$ instead of $1985:1986$? And I can't really read the formula in lm.
Jan
30
answered Pricing in HJM framework
Jan
29
comment Liquidity in a market risk model based on historical simulation
Thanks, nice idea - clear and doable.
Jan
29
comment Threshold calculation for buying a mean-reverting asset
... I mean "hear" ;)
Jan
29
comment Copula models and the distribution of the sum of random variables without Monte Carlo
Believing that the people of "Corr Validated" could have additional ideas I have posted the question there too.
Jan
29
comment Copula models and the distribution of the sum of random variables without Monte Carlo
Does anybody have an idea which is more copula based? Do copulas and sums don't go together well? I mean - the answer by Julian Wergieluk shows that this is not true in general - but using copulas we do not gain any insight to the sum? No (Fourier/moment/ ...) transform trick?
Jan
28
comment Threshold calculation for buying a mean-reverting asset
But most importantly - let us here what @Alon needs. Are you with us, Alon?
Jan
28
comment Threshold calculation for buying a mean-reverting asset
The OU-process has $3$ parameters - what can be different if I speak of theoretical results concerning stopping times and theresuch? OU process is OU process no matter the context - at least if I speak of stopping times - of course the parameters will be different and all "caveats" too.
Jan
28
comment Threshold calculation for buying a mean-reverting asset
thanks for improving the answer.
Jan
28
comment Liquidity in a market risk model based on historical simulation
Thank you for your comments, @Freddy. Am I right that these apply for the stock market mainly? Do you have any ideas about the bond market? Furthermore - how can I capture this in a quantitative manner? I assume the big vendors of factor based models have some liquidity factor - but what can I do in pure historical simulation? Thanks.