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From: Francois B. <ig...@gm...> - 2014-06-18 15:27:47
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Haha. I actually did read your email the other day, but I didn't make the connection when I discovered the issue now. No fix yet, but I'll see if I can get something together. It will have to involve passing the original reference date through to the fixing algorithm. F Francois Botha On 18 June 2014 17:17, Peter Caspers <pca...@gm...> wrote: > Hi Francois, > > yes, you have to use June's 30 days. This is corresponding to the > question I sent earlier (see below), the second (Murex) way of doing > the interpolation is the correct one. > > Do you have a fix for that ? This would be great. > > best > Peter > > I am comparing Murex and QuantLib concerning Inflation Pricing. I > observe a difference in the way an index fixing is interpolated > between known (i.e. already fixed) values. Here is an example: > Take the EUHICP XT index which has fixings > 01.08.2012 (Aug 12) 115.10 > 01.09.2012 (Sep 12) 115.97 > Now I want to look up the fixing on 28.08.2012 belonging to an > observation date on 28.11.2012 (3m observation lag). In QL the > interpolation is done as follows: > Days between 01.08. and 01.09. = 31, Days between 01.08. and 28.08. = > 27, Interpolated Fixing = 115.10 + 27/31 * ( 115.97 - 115.10 ) > In Murex on the opposite: > Days between 01.11. and 01.12. = 30, Days between 01.11. and 28.11. = > 27, Interpolated Fixing = 115.10 + 27/30 * ( 115.97 - 115.10 ) > > On 18 June 2014 16:50, Francois Botha <ig...@gm...> wrote: > > Hi, > > > > I think the interpolation in ZeroInflationIndex::fixing isn't exactly > > correctly. > > > > Consider a linearly interpolated Zero Inflation Index with observation > lag > > of 4 months. If the reference date is in June, the observation date will > be > > in February, which has only 28 days. I believe the interpolation should > use > > June's 30 days instead of February's 28 days. As it is, the interpolation > > will be "maxed out" by 28 June and will remain flat until 30 June. Do > you > > guys agree? > > > > regards > > Francois Botha > > > > > ------------------------------------------------------------------------------ > > HPCC Systems Open Source Big Data Platform from LexisNexis Risk Solutions > > Find What Matters Most in Your Big Data with HPCC Systems > > Open Source. Fast. Scalable. Simple. Ideal for Dirty Data. > > Leverages Graph Analysis for Fast Processing & Easy Data Exploration > > http://p.sf.net/sfu/hpccsystems > > _______________________________________________ > > QuantLib-dev mailing list > > Qua...@li... > > https://lists.sourceforge.net/lists/listinfo/quantlib-dev > > > |