Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Modelling and implementation of local volatility surfaces
Download
index.pdf
Date
2014
Author
Animoku, Abdulwahab
Metadata
Show full item record
Item Usage Stats
322
views
179
downloads
Cite This
In this thesis, Dupire local volatility model is studied in details as a means of modeling the volatility structure of a financial asset. In this respect, several forms of local volatility equations have been derived: Dupire's local volatility, local volatility as conditional expectation, and local volatility as a function of implied volatility. We have proven the main results of local volatility model discussed in the literature in details. In addition, we have also proven the local volatility model under stochastic differential equation of the forward price dynamics of asset prices. Consequently, we have studied the two main approaches to obtaining the local volatility surfaces: parametric methods and non-parametric methods. For the parametric method, we have used Dumas parametrization for the implied volatility function which produces implied volatility surface, which in turn is used in obtaining local volatility surface. While in the non-parametric approach of obtaining local volatility surfaces, we have used both implied volatilities and option prices data sets with some numerical techniques that are well-founded in literature. As an outlook, we have also discussed several paths this thesis could take for future studies, one of which is using Tikhonov regularization to obtain solutions of local volatilities by solving a regularized Dupire equation.
Subject Keywords
Surfaces.
,
Derivative securities.
,
Options (Finance).
,
Investments
,
Finance
URI
http://etd.lib.metu.edu.tr/upload/12617955/index.pdf
https://hdl.handle.net/11511/24127
Collections
Graduate School of Applied Mathematics, Thesis
Suggestions
OpenMETU
Core
Additional factor in asset-pricing: Institutional ownership
Uğurlu-Yıldırım, Ecenur; Şendeniz Yüncü, İlkay (Elsevier BV, 2020-01-01)
In this paper, we hypothesize that institutional investor variable is a proxy for some systematic risk factors, which should be incorporated into the asset-pricing model. Mimicking portfolio for institutional ownership, called IMI (Institutional minus Individual), is constructed. Including IMI to the Carhart's 4-factor model captures the common variations in returns better than all other models that are tested. Consistent with the literature, the new 5-factor model improves mispricing mostly in portfolios i...
On forward interest rate models : via random fields and Markov jump processes
Altay, Sühan; Körezlioğlu, Hayri; Department of Financial Mathematics (2007)
The essence of the interest rate modeling by using Heath-Jarrow-Morton framework is to find the drift condition of the instantaneous forward rate dynamics so that the entire term structure is arbitrage free. In this study, instantaneous forward interest rates are modeled using random fields and Markov Jump processes and the drift conditions of the forward rate dynamics are given. Moreover, the methodology presented in this study is extended to certain financial settings and instruments such as multi-country...
Stochastic volatility, a new approach for vasicek model with stochastic volatility
Zeytun, Serkan; Hayfavi, Azize; Department of Financial Mathematics (2005)
In the original Vasicek model interest rates are calculated assuming that volatility remains constant over the period of analysis. In this study, we constructed a stochastic volatility model for interest rates. In our model we assumed not only that interest rate process but also the volatility process for interest rates follows the mean-reverting Vasicek model. We derived the density function for the stochastic element of the interest rate process and reduced this density function to a series form. The para...
Credit risk modeling and credit default swap pricing under variance gamma process
Anar, Hatice; Uğur, Ömür; Department of Financial Mathematics (2008)
In this thesis, the structural model in credit risk and the credit derivatives is studied under both Black-Scholes setting and Variance Gamma (VG) setting. Using a Variance Gamma process, the distribution of the firm value process becomes asymmetric and leptokurtic. Also, the jump structure of VG processes allows random default times of the reference entities. Among structural models, the most emphasis is made on the Black-Cox model by building a relation between the survival probabilities of the Black-Cox ...
Credit risk modeling with stochastic volatility, jumps and stochastic interest rates
Yüksel, Ayhan; Akyıldız, Ersan; Department of Financial Mathematics (2007)
This thesis presents the modeling of credit risk by using structural approach. Three fundamental questions of credit risk literature are analyzed throughout the research: modeling single firm credit risk, modeling portfolio credit risk and credit risk pricing. First we analyze these questions under the assumptions that firm value follows a geometric Brownian motion and the interest rates are constant. We discuss the weaknesses of the geometric brownian motion assumption in explaining empirical properties of...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
A. Animoku, “Modelling and implementation of local volatility surfaces,” M.S. - Master of Science, Middle East Technical University, 2014.