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From: David B. <db...@ic...> - 2009-02-20 13:49:43
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Hi Klaus - I'll definitely take a look at that example. I'm using your DAX example right now as a base. The research I've done has shown me that one can-not neglect Jumps in the near-term, or the core Vol process becomes over-estimated. There are a number of facets to this problem which I've yet to fully understand, but I've been reading a few papers on the topic which have proved quite interesting: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=965248 There are a few issues which I'm currently having, conceptually. 1) I don't believe I'm actually getting the clustering effects of a GARCH-model. To get that, error-propagation is necessary. I would probably like to handle it in some-fashion despite it not being needed to fit the implied volatility surfaces accurately. This would require me to further understand the link between the P-measure / Q-measure and the cross-time Surface Dynamics of a stochastic vol. model. 2) To use the above paper, we'd need to figure out how to turn all of these ruminations and thoughts into an analytic model. In a GARCH-direction there was some type of Mean Tracking Tree which is about 10-years old and apparently has decent efficiency. Kilin, in the above, uses a Gaussian Quadrature, so something of that nature might be necessary to solve this. 3) Supposing I'm willing to accept the risk-neutral log-normality of options 1Y+ into the future, which from what I've read is not a bad hypothesis, I could probably build some type of Brownian Bridge to accelerate the calibration. This far-future strike series could be used (perhaps) like a shrinkage estimator, where if we turn on regularization to the maximum, the output is the standard answer. What do you think? Best, DB Klaus Spanderen-2 wrote: > > Hi > > If for the time being you can set aside the jumps it might be worth > looking at > the Heston finite difference pricing engine, e.g. the test case > testFdmHestonAmerican() in test-suite/fdheston.cpp ist a good starting > point. > > regards > > Klaus > > On Thursday 19 February 2009 07:04:00 uptotibet wrote: >> Hey Guys - I've looked through the list and was just wondering if anyone >> has used the Bates Model to price American Options? I started down this >> path trying to find some connection for GARCH-based option pricing. >> After >> a lot of meandering around, I realized I don't need "garch" per-se, but >> some type of stochastic volatility model. >> >> I want to be able to handle the skews on options more accurately for >> portfolio optimizations. I don't care about arbing this stuff, but I >> dont >> want to get arbed - if that makes sense. >> >> >> Any thoughts? > > > > ------------------------------------------------------------------------------ > Open Source Business Conference (OSBC), March 24-25, 2009, San Francisco, > CA > -OSBC tackles the biggest issue in open source: Open Sourcing the > Enterprise > -Strategies to boost innovation and cut costs with open source > participation > -Receive a $600 discount off the registration fee with the source code: > SFAD > http://p.sf.net/sfu/XcvMzF8H > _______________________________________________ > QuantLib-dev mailing list > Qua...@li... > https://lists.sourceforge.net/lists/listinfo/quantlib-dev > > -- View this message in context: http://www.nabble.com/Bates-Engine-for-American-Options-tp22094505p22120196.html Sent from the quantlib-dev mailing list archive at Nabble.com. |