BermudanSwaption
prices a Bermudan swaption with specified
strike and maturity (in years), after calibrating the selected
short-rate model to an input swaption volatility matrix. Swaption
maturities are in years down the rows, and swap tenors are in years
along the columns, in the usual fashion. It is assumed that the
Bermudan swaption is
exercisable on each reset date of the underlying swaps.
BermudanSwaption(params, ts, swaptionMaturities, swapTenors,
volMatrix)
BermudanSwaption
, if there are sufficient swaption vols to fit an affine model,
returns a list containing calibrated model
paramters (what parameters are returned depends on the model
selected) along with:
Price of swaption in basis points (actual price
equals price
times notional divided by 10,000)
At-the-money strike
Input parameter list
If there are insufficient swaption vols to calibrate it throws a warning and returns NULL
A list specifying the tradeDate
(month/day/year),
settlementDate
, startDate
, maturity
, payFixed
flag, strike
, pricing method
, and curve construction options
(see Examples section below). Curve construction options are
interpWhat
(possible values are discount
,
forward
, and zero
) and
interpHow
(possible values are linear
,
loglinear
, and spline
). Both interpWhat
and interpHow
are ignored when a flat yield curve is requested, but they must be
present nevertheless.
The pricing method can be one of the following (all short-rate models):
G2Analytic | G2 2-factor Gaussian model using analytic formulas. |
HWAnalytic | Hull-White model using analytic formulas. |
HWTree | Hull-White model using a tree. |
BKTree | Black-Karasinski model using a tree. |
A term structure built with DiscounCurve or market observables
needed to construct the spot term
structure of interest rates. A list of name/value pairs. See the
help page for DiscountCurve
for details.
A vector containing the swaption maturities associated with the rows of the swaption volatility matrix.
A vector containing the underlying swap tenors associated with the columns of the swaption volatility matrix.
The swaption volatility matrix. Must be a 2D matrix stored by rows. See the example below.
Dominick Samperi
This function was update for QuantLib
Version 1.7.1 or later. It
introduces support for fixed-income instruments in RQuantLib
. It implements the
full function and should work in most cases as long as there are suuficient swaption vol
data points to fit the affine model. At least 5 unique points are required. The data point
search attempts to find 5 or more points with one being the closet match in terms in of
expiration and maturity.
See the SabrSwaption
function for an alternative.
Brigo, D. and Mercurio, F. (2001) Interest Rate Models: Theory and Practice, Springer-Verlag, New York.
For information about QuantLib
see https://www.quantlib.org/.
For information about RQuantLib
see
http://dirk.eddelbuettel.com/code/rquantlib.html.
DiscountCurve
, SabrSwaption
if (FALSE) {
# This data replicates sample code shipped with QuantLib 0.3.10 results
params <- list(tradeDate=as.Date('2002-2-15'),
settleDate=as.Date('2002-2-19'),
startDate=as.Date('2003-2-19'),
maturity=as.Date('2008-2-19'),
dt=.25,
payFixed=TRUE,
strike=.05,
method="G2Analytic",
interpWhat="discount",
interpHow="loglinear")
setEvaluationDate(as.Date('2002-2-15'))
# Market data used to construct the term structure of interest rates
tsQuotes <- list(d1w =0.05,
# d1m =0.0372,
# fut1=96.2875,
# fut2=96.7875,
# fut3=96.9875,
# fut4=96.6875,
# fut5=96.4875,
# fut6=96.3875,
# fut7=96.2875,
# fut8=96.0875,
s3y =0.05,
s5y =0.05,
s10y =0.05,
s15y =0.05)
times=seq(0,14.75,.25)
swcurve=DiscountCurve(params,tsQuotes,times)
# Use this to compare with the Bermudan swaption example from QuantLib
#tsQuotes <- list(flat=0.04875825)
# Swaption volatility matrix with corresponding maturities and tenors
swaptionMaturities <- c(1,2,3,4,5)
swapTenors <- c(1,2,3,4,5)
volMatrix <- matrix(
c(0.1490, 0.1340, 0.1228, 0.1189, 0.1148,
0.1290, 0.1201, 0.1146, 0.1108, 0.1040,
0.1149, 0.1112, 0.1070, 0.1010, 0.0957,
0.1047, 0.1021, 0.0980, 0.0951, 0.1270,
0.1000, 0.0950, 0.0900, 0.1230, 0.1160),
ncol=5, byrow=TRUE)
volMatrix <- matrix(
c(rep(.20,25)),
ncol=5, byrow=TRUE)
# Price the Bermudan swaption
pricing <- BermudanSwaption(params, ts=.05,
swaptionMaturities, swapTenors, volMatrix)
summary(pricing)
}
Run the code above in your browser using DataLab