Already have an account? Get multiple benefits of using own account!
Login in your account..!
Remember me
Don't have an account? Create your account in less than a minutes,
Forgot password? how can I recover my password now!
Enter right registered email to receive password!
Dissertation writing help: On the Calibration of the SABR-Libor Market Model Correlations
SABR-LMM model - Custom Dissertation Writing Service
This work is concerned with the SABR-LMM model. This is a term structure model of interest forward rates with stochastic volatility that is a natural extension of both, the LIBOR market model (Brace-Gatarek-Musiela [1997]) and the SABR stochastic volatility model of Hagan et al. [2002]. While the seminal approximation formula (developed by Hagan et al. [2002]) to implied Black volatility using the SABR model parameters allows for a successful calibration of each forward rate dynamics to the volatility smile of the respective caplets/floorlets, an adequate calibration of the rich correlation structure of SABR-LMM (correlations among the forward rates, the volatilities and the cross correlations) is a challenging topic and of great interest in practice. Although widely used for calibration, it is well known that swaptions' volatilities carry only little information about correlations among the forward rates. As practically successful for the classical LMM, desirable would be to take the market swap rate correlations into account for the model calibration.
In this study we develop a new approach of calibrating the model correlations, aiming at incorporating the market information about the forward rate correlations implied from more correlation-sensitive products such as CMS spread derivatives, in which also swap rate correlations are involved. To this end we derive a displaced-diffusion model for the swap rate spreads with a SABR stochastic volatility. This we achieve by applying the Markovian projection technique which approximates the dynamics of the basket of forward rates, in terms of the terminal distribution, by a univariate displaced-diffusion. The CMS spread derivatives can then be priced using the SABR formulas for the implied volatility, taking the whole market smile of CMS spread options into consideration. For the ATM values in the payoff measure of the projected SDE we use a standard smile-consistent replication of the necessary convexity adjustment with swaptions. Numerical simulations conclude the work, giving a comparison between this method and the classical one of calibrating the model correlations to swaption volatilities. Furthermore, we study the performance of different parameterizations of the correlation (sub-)matrices.
Dissertation writing help on Architecture and Campus Planning/Interactive Qualitative Analysis
Higher Education Faculty: Satisfaction with Online Teaching
A proposal for dissertation on Towards a Gestic Feminist Dramaturgy
Engaging with Socio - constructivism: Social Studies Preservice Teachers Learning and Using Historical Thinking in Contemporary Classrooms
High vs. Low Electrical Stimulation Frequencies for Motor Recovery in Hemiplegia
The Acquisition of Intellectual Expertise: A Computational Model
Doctoral Dissertation Research Proposal: Geographic Representations of the Planet Mars, 1867-1907
Study of Male Flight Attendants and Corporate Capitalism during the Cold War Era
How do organizations manage sexuality? How is sexuality managed, constructed, and maintained in the workplace?
Reconstructing Central Texas Holocene Soil Erosion and Climate Using Carbon, Oxygen and Strontium Isotopes
Why Cargills internal information attacked increased and how to minimize it by countermeasure ?
Viability of Concept Mapping for Assessign Cultural Competence in Systems of Care for Children's Mental Health: A Comparison of Theoretical and Community Conceptualizations
Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!
whatsapp: +1-415-670-9521
Phone: +1-415-670-9521
Email: [email protected]
All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd