Asset pricing under general collateralization

Bermudan Swaptions in the LIBOR Market Model

Pricing Path-Dependent Payoff Using Quadrature on Wiener Space

Calculations in the Hull-White Model

A new variant of the LIBOR market model is implemented and calibrated simultaneously to both at-the-money and out-of-the-money caps and swaptions. This model is a two-factor version of a new class of the almost Markovian LIBOR market models with properties long sought after: (i) the almost Markovian parameterization of the LIBOR market model volatility functions is unique and asymptotically exact in the limit of a short time horizon up to a few years, (ii) only minimum plausible assumptions are required to derive the implemented volatility parameterization, (iii) the calibration yields very good results, (iv) the calibration is almost immediate, (v) the implemented LIBOR market model has a related short-rate model. Numerical results for the two-factor case show that the volatility functions for the LIBOR market model can be imported into its short-rate model cousin without adjustment.

In this paper an efficient calibration method for the multi-factor LIBOR Market Model (LMM) is proposed and is applied for the Japanese interest rate market. At first the joint calibration method in the cap and swaption market is demonstrated using a new parameterization for the correlation matrix in the LMM. Then we implement the proposed methodology for calibrating the Japanese cap and swaption markets, where the computational procedure is shown to be tractable and provides a practical estimation for the implied correlation matrix in the LMM. The empirical analysis also illustrates that Black's swaption volatilities through our calibration fit the market data almost exactly and that the estimated implied correlation matrix is smooth and stable.

A number of models have been successfully developed wherein the theoretical prices for caps, floors, and swaptions produced by the model are of the Black-76 form. In these models, discrete market rates are modelled like LIBOR rates in the LIBOR market models or forward swap rates in the swap market models; and under a suitable choice of numeraires, market rates can be modelled log normally. LIBOR caps and the market practice for pricing and quoting these instruments are discussed. It is shown that given a swap market model, the LIBOR rates will not be lognormal; thus, LIBOR market models and swap models are generally incompatible. Practice exercises are included.

In this article, the authors propose an alternative approach for pricing bond options and swaptions under the one-factor Hull–White model. Their proposal differs from the existing models used to evaluate these type of instruments when the evolution of the term structure of interest rates is modeled by short-rate models. Assuming that the forward price of a coupon bond is a martingale under the forward risk-neutral measure, the proposed model involves deriving the volatility of the coupon bond as a function of its stochastic duration. Once the volatility function is defined, the price of options on coupon bonds can be derived by simply applying the standard no-arbitrage pricing theory in the context of the one-factor Hull–White model. Given the equivalence between the price of a coupon bond and the price of the corresponding swaptions, this approach can be adopted to calibrate the parameters of the one-factor Hull–White model using swaptions quoted in the market. The new solution proposed for the calibration can be considered as an alternative with respect to the existing approaches proposed in the literature and used currently by practitioners. Numerical results are provided in order to analyze the features of the proposed model for calibration purposes. <b>TOPICS:</b>Fixed income and structured finance, derivatives applications, quantitative methods

LIBOR Market Model with Stochastic Volatility

The Libor market model has established itself as the benchmark model for interest rate derivatives. If the observed correlation and volatility surfaces cannot be reproduced by a model, we cannot hope to get meaningful prices; therefore the crucial task, before it comes to pricing and hedging, is to calibrate the model to given market data. An overview of the Libor market model is given and it is shown how to obtain a robust calibration. We show how to extend the model to include the market smile by making use of stochastic volatility. For these stochastic volatility Libor market models a new time homogeneous skew parametrization is introduced. Furthermore a new approximative terminal correlation formula based on the same parameter averaging technique used for pricing in a stochastic volatility Libor market model is presented. We look at a very robust initial calibration procedure; here we introduce some new approximations making it possible to use global optimizers. The optimal choice of local and global optimizers for each step of the calibration will be dealt with and an analysis of the robustness of the calibrated parameters is performed. Two extensions to the cross currency Libor market model introduced by Schlögl are developed. These make use of displacements and stochastic volatility to fit the observed skew and smile respectively. The calculation of the Greeks for exotic interest rate derivatives is crucial for hedging and therefore for trading these products. For a Libor market model this task can only be fulfilled by means of nontrivial Monte Carlo based methods. A new method for the calculation of the weights for the proxy simulation scheme method is developed making use of the conditional independence of the underlying from the stochastic volatility process, which can be used for any model for which this independence holds. The developed estimators are fast enough to be used in everyday practice.

The main objective of the present thesis is to provide efficient methods and tools for calibrating Libor Market Models (LMM) to market-prices of caps, swaptions and CMS spread options, and in this way to extract the volatility and correlation information implicitly contained in these products.

In the more classical models for equities and interest rates evolution, constant volatility is usually assumed. However, in practice the volatilities are not constant in financial markets and different models allowing a varying local or stochastic volatility also appear in the literature. Particularly, here we consider the SABR model that has been first introduced in a paper by Hagan and coworkers, where an asymptotic closed-form formula for the implied volatility of European plain-vanilla options with short maturities is proposed. More recently, different works (Mercurio and Morini, Modeling Interest Rates: Advances in Derivatives Pricing, Risk Books 2009; Hagan and Lesniewski, LIBOR market model with SABR style stochastic volatility. Working Paper. http://lesniewski.us/papers/working/SABRLMM.pdf, 2008; Rebonato, A time-homogeneous SABR-consistent extension of the LMM. Risk, 2008) have extended the use of SABR model in the context of LIBOR market models for the evolution of forward rates (SABR-LMM). One drawback of these models in practice comes from the increase of computational cost, mainly due to the growth of model parameters to be calibrated. Additionally, sometimes either it is not always possible to compute an analytical approximation for the implied volatility or its expression results to be very complex, so that numerical methods (for example, Monte Carlo in the calibration process) have to be used. In this work we mainly review some recently proposed global optimization techniques based on Simulated Annealing (SA) algorithms and its implementation on Graphics Processing Units (GPUs) in order to highly speed up the calibration and pricing of different kinds of options and interest rate derivatives. Finally, we present some examples corresponding to real market data.KeywordsSABR volatility modelsSABR/LIBOR market modelsParallel simulated annealingGPUs

A Libor Market Model with Default Risk

A direct LU solver for pricing American bond options under Hull–White model

In the framework of a multifactor LIBOR market model (LMM), this paper presents a new approach for finding an approximate distribution of constant maturity swap (CMS) rates under the terminal martingale measure. With this approach, we derive an analytical pricing formula for CMS range notes, which is both intuitive and tractable. Many exotic CMS rate derivatives are widely traded in the marketplace or embedded in structure notes.

On the Information in the Interest Rate Term Structure and Option Prices