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From: Goutham M. <gou...@gm...> - 2021-11-20 11:13:14
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Hi all, Luigi - Ok I understood that. But I am actually not trying to pass the resulting leg into a function like swap.NPV, instead I want to enumerate the cash flows from swap.leg(floatingleg). When I do this I am still receiving all the Cash Flows(based on the full schedule) and not the ones that I need to reflect the new date. My goal is to pass the floating leg cash flows into a list. Charles - What do you mean by that? Sorry, I did not understand. Thank you all, Best, Goutham On Thu, Nov 18, 2021 at 4:55 PM Charles Allderman <ch...@al...> wrote: > I would use a vector of cash flow dates in conjunction with your vector of > cash flows and then filter with dates being greater than your evaluation > date. > > On Tue, Nov 16, 2021 at 10:54 PM Goutham Mahesh < > gou...@gm...> wrote: > >> Hi All, >> >> This is the scenario: >> >> I have computed the floating leg for and IRS as follows: >> floatingleg = IborLeg(data, SwapSchedule, index, Actual360(), >> ModifiedFollowing, fixingDays=[0], gearings=[1], spreads = [0]) >> >> The SwapSchedule is a schedule set for 3 years with quarterly payments, >> therefore there are 12 floating leg payments for the swap. >> >> "data" is a list of 12 nominals for each of the 12 floating leg cash >> flows. >> data = [1000000, 1000000, 1000000, 1000000, 1000000, 869565, 739130, >> 608695, 478260, 347826, 217391, 86956] >> >> Let us say now that 1 year and 4 cash flow dates have passed. I have to >> re-calculate the floating leg. >> The "data" list now has 8 nominals to reflect the 8 remaining cash flow >> dates. >> data = [1000000, 869565, 739130, 608695, 478260, 347826, 217391, 86956] >> >> My doubt is regarding how to recalculate my floating leg, and if I should >> use a new SwapSchedule or a new index. >> >> For building the SwapSchedule I have currently used the original >> date(old_date) and original maturity_date because I do not want the cash >> flow dates to change. >> >> As for the index I have done: >> Settings.instance().evaluationDate = new_date >> I have built the index using the methodology in the python cookbook >> quantlib IRS example. >> >> The code is running in this situation but the floating leg is still >> returning 12 cash flows, whereas I want to return only 8 cash flows to >> reflect the 8 remaining payments of the floating leg. >> >> -- >> >> Any help will be appreciated as I have been trying really hard to figure >> this problem out. If you require more info as to how I built the index I >> will send that as well. >> >> Thank you, >> Goutham >> _______________________________________________ >> QuantLib-users mailing list >> Qua...@li... >> https://lists.sourceforge.net/lists/listinfo/quantlib-users >> > |