Skip to main content
12 events
when toggle format what by license comment
Nov 1, 2019 at 19:02 history bumped CommunityBot This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
Jul 4, 2019 at 18:03 history bumped CommunityBot This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
Mar 6, 2019 at 21:00 history tweeted twitter.com/StackQuant/status/1103400028134141957
Mar 6, 2019 at 18:01 history bumped CommunityBot This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
Feb 6, 2019 at 9:24 comment added Vim @Raskolnikov or, at the cost of more model complexity, we should not assume the stock price drift to be this and that, but instead calibrate it or fit it using available market data? In this case, the risk-neutral drift of the stock price, $\mu_S$, is also part of the parameter configuration. So the parameter space becomes 5 dimensional ($\mu_S, \kappa, \bar v, \sigma, \rho$).
Feb 6, 2019 at 6:22 comment added Vim @Raskolnikov if my interpretation is correct, in practice, under the Heston model, we still assume the drift of the stock price is $(r-q)dt$ under the risk neutral measure; then what we calibrate are the params of the variance process under the risk neutral measure. But how can we just require the risk neutral price process still has the same drift as in the classical BS model?
Feb 5, 2019 at 15:13 comment added Raskolnikov If however you only have the price of the asset, then several risk-neutral measures are compatible with it. Then, you can select one based on extra conditions you impose for theoretical reasons.
Feb 5, 2019 at 15:13 comment added Raskolnikov I have no experience with that particular method. The method I used was basically calibrating with vanilla options. Technically, you only need two financial instruments, the underlying asset and an option on the underlying or the underlying and a vol swap. But in practice, since markets are imperfect, people tend to use the complete vanilla option surface (cleaned up for outliers and such). Calibrating in that case amounts to a closest fit (through least squares for instance) to the vanilla option prices.
Feb 5, 2019 at 14:37 comment added Vim @Raskolnikov thanks. So it says the main idea is to use the var/vol swap to "calibrate" the risk-neutral measure. Would you care to provide any more concrete exposition on this method?
Feb 5, 2019 at 11:24 comment added Raskolnikov The wiki page on the Heston model answers your question pretty well.
Feb 4, 2019 at 17:44 answer added user34971 timeline score: 3
Feb 4, 2019 at 16:59 history asked Vim CC BY-SA 4.0