I am having a bit of an issue with the speed of calculation. As I need to recalculate hundreds of options every few hundred milliseconds it generates a problem.
Here is what I do to calculate simple vanilla EuropeanOptions: I use a simple BlackConstantVol, a BlackScholesMertonProcess to calculate NPV and impliedVolatility. Question: this process is very fast when I use a Actual365Fixed but VERY SLOW when I replace this counter with a Business 252 day counter. Basically the calculation takes many orders of magnitudes more. Note: in both cases I use the correct respective calendar. What could be the reason as the only diff is the day counter? |
While actual/365 just counts days by taking the difference between the
start and end dates, the business/252 day counter has no choice but to loop over each day and check whether it's a business day or a holiday. The speed is better in version 1.2, since the day counter caches day counts for months and years (you might want to switch to that version if you're still using QuantLib 1.1) but there are still quite a few calculations done at each call. If that is still too slow, you may try adding caching results for pairs of dates; that would speed you up a lot if you're always recalculating the same options. If you do, please send the patch here and I'll apply it to the repository. Later, Luigi On Tue, Sep 18, 2012 at 8:57 AM, aimz <[hidden email]> wrote: > > I am having a bit of an issue with the speed of calculation. As I need to > recalculate hundreds of options every few hundred milliseconds it generates > a problem. > > Here is what I do to calculate simple vanilla EuropeanOptions: I use a > simple BlackConstantVol, a BlackScholesMertonProcess to calculate NPV and > impliedVolatility. > > Question: this process is very fast when I use a Actual365Fixed but VERY > SLOW when I replace this counter with a Business 252 day counter. Basically > the calculation takes many orders of magnitudes more. > > Note: in both cases I use the correct respective calendar. > > What could be the reason as the only diff is the day counter? > -- > View this message in context: http://old.nabble.com/Slow-impliedVolatility-and-NPV-calculation-when-using-Business252-dayCounter-tp34446063p34446063.html > Sent from the quantlib-users mailing list archive at Nabble.com. > > > ------------------------------------------------------------------------------ > Live Security Virtual Conference > Exclusive live event will cover all the ways today's security and > threat landscape has changed and how IT managers can respond. Discussions > will include endpoint security, mobile security and the latest in malware > threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ > _______________________________________________ > QuantLib-users mailing list > [hidden email] > https://lists.sourceforge.net/lists/listinfo/quantlib-users ------------------------------------------------------------------------------ Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ _______________________________________________ QuantLib-users mailing list [hidden email] https://lists.sourceforge.net/lists/listinfo/quantlib-users |
What about:
- computing the number of non-weekend days (easy, needs only a bit of attention to get the first and last week right) - counting non-weekend holidays (there are only a few per year) by keeping them in a sorted list and finding (by binary search) the first and last one which fall within the period? Gerardo -----Messaggio originale----- Da: Luigi Ballabio [mailto:[hidden email]] Inviato: martedì 18 settembre 2012 9.23 A: aimz Cc: [hidden email] Oggetto: Re: [Quantlib-users] Slow impliedVolatility and NPV calculation when using Business252 dayCounter While actual/365 just counts days by taking the difference between the start and end dates, the business/252 day counter has no choice but to loop over each day and check whether it's a business day or a holiday. The speed is better in version 1.2, since the day counter caches day counts for months and years (you might want to switch to that version if you're still using QuantLib 1.1) but there are still quite a few calculations done at each call. If that is still too slow, you may try adding caching results for pairs of dates; that would speed you up a lot if you're always recalculating the same options. If you do, please send the patch here and I'll apply it to the repository. Later, Luigi On Tue, Sep 18, 2012 at 8:57 AM, aimz <[hidden email]> wrote: > > I am having a bit of an issue with the speed of calculation. As I need > to recalculate hundreds of options every few hundred milliseconds it > generates a problem. > > Here is what I do to calculate simple vanilla EuropeanOptions: I use a > simple BlackConstantVol, a BlackScholesMertonProcess to calculate NPV > and impliedVolatility. > > Question: this process is very fast when I use a Actual365Fixed but > VERY SLOW when I replace this counter with a Business 252 day counter. > Basically the calculation takes many orders of magnitudes more. > > Note: in both cases I use the correct respective calendar. > > What could be the reason as the only diff is the day counter? > -- > View this message in context: > http://old.nabble.com/Slow-impliedVolatility-and-NPV-calculation-when- > using-Business252-dayCounter-tp34446063p34446063.html > Sent from the quantlib-users mailing list archive at Nabble.com. > > > ---------------------------------------------------------------------- > -------- > Live Security Virtual Conference > Exclusive live event will cover all the ways today's security and > threat landscape has changed and how IT managers can respond. > Discussions will include endpoint security, mobile security and the > latest in malware threats. > http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ > _______________________________________________ > QuantLib-users mailing list > [hidden email] > https://lists.sourceforge.net/lists/listinfo/quantlib-users ------------------------------------------------------------------------------ Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. 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