THESIS
2018
xxiii, 214 pages : illustrations ; 30 cm
Abstract
Linkage between risk-free rates and Libor rates broke down during the financial crisis
as LIBOR-OIS spreads and basis swap spreads exploded. Nowadays, the multi-curve
modeling and has become the new norm of LIBOR derivatives modeling. The majority
of multi-curve modeling approaches, however, are at odd with the stylized pattern
of basis swap curves: smooth and monotonically decreasing in terms (or maturities),
which cannot be retained if forward rates of different tenors were driven by different
random factors in any usual way. In this thesis, we decompose a LIBOR rate into an
OIS forward rate and an “discrete loss rate”, which represent the risk-free component
and the default-risk component, respectively, and model them simultaneously using
some popular dynamics for interest...[
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Linkage between risk-free rates and Libor rates broke down during the financial crisis
as LIBOR-OIS spreads and basis swap spreads exploded. Nowadays, the multi-curve
modeling and has become the new norm of LIBOR derivatives modeling. The majority
of multi-curve modeling approaches, however, are at odd with the stylized pattern
of basis swap curves: smooth and monotonically decreasing in terms (or maturities),
which cannot be retained if forward rates of different tenors were driven by different
random factors in any usual way. In this thesis, we decompose a LIBOR rate into an
OIS forward rate and an “discrete loss rate”, which represent the risk-free component
and the default-risk component, respectively, and model them simultaneously using
some popular dynamics for interest rates. In particular, we adopt the lognormal
and CEV dynamics with stochastic volatility and establish the dual-curve versions
of the LIBOR market model and the SABR model, respectively. Unlike multi-curve
modeling approaches, we only model one Libor curve with a particular tenor and link
it with Libor of other tenors by taking into account the effect of Libor panel review.
After these model specifications, we provide a fast way of pricing vanilla options i.e.,
caps/floors, swaptions by using the heat kernel expansion method. It will be used
in the calibration procedure in order to capture market information of interest rates.
After that, we will show you how this dual-curve modeling approach can also be used
to price and risk-manage exotic oprions. And due to high dimensionality of this dual-curve
model, in this part, we adopt approaches to pricing and greeks calculations of
exotics under the framework of Monte Carlo simulation.
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