EVALUATING AND HEDGING EXOTIC SWAP INSTRUMENTS VIA LGM PDF

Bermudans, callable swaps. 1. Introduction. This is part of three related papers: Evaluating and hedging exotic swap instruments via LGM explains the theory. Analytic LGM swaption engine for european exercise. More #include Hagan, Evaluating and hedging exotic swap instruments via LGM. Lichters, Stamm. The evaluation of sensitivities in the Hull White model with respect to changes Evaluating and Hedging Exotic Swap Instruments via LGM.

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You can set this up as a swap, too, with one zero leg and final notional exchange. At least it is not flat but a skew. If there is more than one crossing which there wont be for this deal type choose the crossing with Knearest the midpoint mx. You will see later. Calculate the schedule data for each digitalStep 2a. The inputs to the program are the eective funding leg coupons, 2. Or read the paper.

So we should use an apdapted basket. Swaps pricing and strategies Business. This is around the same magnitude of the underlying mismatch in the Gsr model.

For payers, one exchanges the receiveds and paids. This is why the underlying price is higher than the option value. Get the forward rates and the implied vol for each digital caplet: Fill in the swaption schedules.

What you can also see is that payer swaptions were generated.

Procedure for Pricing Bermudans and Callable Swaps

The last parameter denotes the discounting curve that should be used for the swaption valuation. I coming back to them at the end of this article.

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In this procedure, we also need quatities which refer to the standard floating leg index such as 3mUS-DLibor and market default parameters for fixed legs opposite these floating legs in single currency swaps.

This is because always out of the money options are chosen to be calibration instruments for the usual reason. Find the end date, fixing date, and day count fraction for each sub-interval. For example we can use an amortizing nominal going linear from to. The model is set up like this. Now we can say. This is more to prove that some numerical procedure worked for you here. Numerix Models and Instruments?? A pricing and performance study on auto-callable structured products Documents.

Inatruments i,c are the appropriate digitals. As discussed earlier, we approximate the floating legs value by pretending the floating leg schedule is thesame as instrujents fixed leg schedule.

To get this we match the Taylor expansions up to order two of our exotic and market underlying. It is rather questionable if a call right of a CMS versus Euribor swap is well approximated by a coterminal swaption. The coupon leg is defined by: Normally it is enough to pass the model gsr.

There are other applications of the delta-gamma-method. Here we make up for a completely wrong model smile.

Skip to content This is going to be a guided tour through some example code I wrote to illustrate the usage of the Markov Functional and Gsr a. The spread is interpreted as an option adjusted spread, continuously compounded with ActualFixed day count convention. Fill in your details below or click an icon to log in: We can calibrate the numeraire of the model such that the market swaption surface is reproduced on the fixing dates of the CMS coupons for swaptions with 10y maturity.

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To explain this input, recall that the funding leg is assumed to be a standard floating leg plus a margin rate. For the moment it is just empty, so ignored.

Procedure for Pricing Bermudans and Callable Swaps

In the main body of thepaper, we treat Bermudans on bullet swaps and callable bullet swaps. The goal is to get a better match with the replication price. Asset swaps Credit spread options Documents. Finally, we need to input: Add t, j,months, bdr, hol1, hol2, hol3, eom We can do more involved things and we will below: The calibration basket becomes:. Routine for generating the integration weights and partial sums detailed below Routine for calculating the payo vector at each j detailed above Routine for calculating the European option values detailed immediately below Standard cumulative normal distributionGaussian density7.

QuantExt: AnalyticLgmSwaptionEngine Class Reference

Replace each cj by the nearest whole number of months. Well actually it more than doubled.

This is because of the missing smile fit in our example the fit to a flat smile, which the Gsr can not do. What do we see here: Variance swaps and intertemporal asset pricing Documents.

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