Calibrating Local Volatility Models with Stochastic Drift and Diffusion

نویسندگان

چکیده

We propose Monte Carlo calibration algorithms for three models: local volatility with stochastic interest rates, deterministic and finally rates. For each model, we include detailed derivations of the corresponding SDE systems, list required input data steps calibration. give conditions under which a can exist given European option prices, rate model parameters, correlations. The models are posed in foreign exchange setting. drift term is as difference two short domestic foreign, modeled by G1++ process. volatility, variance CIR tests to show convergence accuracy proposed algorithms.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Solvable Nonlinear Volatility Diffusion Models with Affine Drift

We present a method for constructing new families of solvable one-dimensional diffusions with linear drift and nonlinear diffusion coefficient functions, whose transition densities are obtainable in analytically closed-form. Our approach is based on the so-called diffusion canonical transformation method that allows us to uncover new multiparameter diffusions that are mapped onto various simple...

متن کامل

Calibrating Arbitrage-Free Stochastic Volatility Models by Relative Entropy Method

We develop a new framework to calibrate stochastic volatility option pricing models to an arbitrary prescribed set of prices of liquidly traded options. Our approach produces an arbitrage-free stochastic volatility di usion process that minimizes the distance to a prior di usion model. We use the notion of relative entropy (also known under the name of Kullback-Leibler distance) to quantify the...

متن کامل

Stochastic averaging for SDEs with Hopf Drift and polynomial diffusion coefficients

It is known that a stochastic differential equation (SDE) induces two probabilistic objects, namely a difusion process and a stochastic flow. While the diffusion process is determined by the innitesimal mean and variance given by the coefficients of the SDE, this is not the case for the stochastic flow induced by the SDE. In order to characterize the stochastic flow uniquely the innitesimal cov...

متن کامل

Efficient estimation of drift parameters in stochastic volatility models

We study the parametric problem of estimating the drift coefficient in a stochastic volatility model Yt = ∫ t 0 √ Vs dWs , where Y is a log price process and V the volatility process. Assuming that one can recover the volatility, precisely enough, from the observation of the price process, we construct an efficient estimator for the drift parameter of the diffusion V . As an application we pres...

متن کامل

Inference for Diffusion Processes and Stochastic Volatility Models Ph.D. thesis

We discuss parameter estimation for discretely observed, ergodic diffusion processes where the diffusion coefficient does not depend on the parameter. We propose using an approximation of the continuous-time score function as an estimating function. The estimating function can be expressed in simple terms through the drift and the diffusion coefficient and is thus easy to calculate. Simulation ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: International Journal of Theoretical and Applied Finance

سال: 2022

ISSN: ['1793-6322', '0219-0249']

DOI: https://doi.org/10.1142/s021902492250011x