DiscreteHedging - Example of using QuantLib
DiscreteHedging is an example of using the QuantLib Monte Carlo
simulation framework.
By simulation, DiscreteHedging computes profit and loss of
a discrete interval hedging strategy and compares with the outcome with the
results of Derman and Kamal's Goldman Sachs Equity Derivatives Research Note
"When You Cannot Hedge Continuously: The Corrections to
Black-Scholes".
The source code DiscreteHedging.cpp, BermudanSwaption(1),
Bonds(1), CallableBonds(1), CDS(1),
ConvertibleBonds(1), EquityOption(1), FittedBondCurve(1),
FRA(1), MarketModels(1), MulticurveBootstrapping(1),
Replication(1), Repo(1), the QuantLib documentation and website
at http://quantlib.org,
http://www.gs.com/qs/doc/when_you_cannot_hedge.pdf
The QuantLib Group (see Contributors.txt).
This manual page was added by Dirk Eddelbuettel
<edd@debian.org>, the Debian GNU/Linux maintainer for
QuantLib.