Results 41 to 50 of about 1,024,611 (253)

The Alpha‐Heston stochastic volatility model [PDF]

open access: yesMathematical Finance, 2021
AbstractWe introduce an affine extension of the Heston model, called the ‐Heston model, where the instantaneous variance process contains a jump part driven by ‐stable processes with . In this framework, we examine the implied volatility and its asymptotic behavior for both asset and VIX options.
Ying Jiao   +4 more
openaire   +4 more sources

A multifactor volatility Heston model [PDF]

open access: yesQuantitative Finance, 2008
We model the volatility of a single risky asset using a multifactor (matrix) Wishart affine process, recently introduced in finance by Gourieroux and Sufana. As in standard Duffie and Kan affine models the pricing problem can be solved through the Fast Fourier Transform of Carr and Madan.
J. Da Fonseca   +2 more
openaire   +3 more sources

Parameter Estimation of the Heston Volatility Model with Jumps in the Asset Prices

open access: yesEconometrics, 2023
The parametric estimation of stochastic differential equations (SDEs) has been the subject of intense studies already for several decades. The Heston model, for instance, is based on two coupled SDEs and is often used in financial mathematics for the ...
Jarosław Gruszka , Janusz Szwabiński
doaj   +1 more source

The EWMA Heston model

open access: yesSSRN Electronic Journal, 2021
This paper introduces the exponentially weighted moving average (EWMA) Heston model, a Markovian stochastic volatility model able to capture a wide range of empirical features related to volatility dynamics while being more tractable for simulations than rough volatility models based on fractional processes. After presenting the model and its principal
openaire   +4 more sources

The Randomised Heston Model

open access: yesSSRN Electronic Journal, 2016
We propose a randomised version of the Heston model-a widely used stochastic volatility model in mathematical finance-assuming that the starting point of the variance process is a random variable. In such a system, we study the small-and large-time behaviours of the implied volatility, and show that the proposed randomisation generates a short-maturity
Antoine Jacquier   +2 more
openaire   +6 more sources

Modeling of Tehran Stock Exchange Overall Index by Heston Stochastic Differential Equation [PDF]

open access: yesFaslnāmah-i Pizhūhish/Nāmah-i Iqtisādī, 2014
In this study, overall index of Tehran Stock Exchange is modeled by Heston stochastic differential equations and its performance is measured. To do this, after a brief introduction of stochastic differential equations, Heston model is explained in more ...
Abdolsadeh Neisy, Moslem Peymany
doaj   +2 more sources

Closed-Form Formula for the Conditional Moments of Log Prices under the Inhomogeneous Heston Model

open access: yesComputation, 2022
Several financial instruments have been thoroughly calculated via the price of an underlying asset, which can be regarded as a solution of a stochastic differential equation (SDE), for example the moment swap and its exotic types that encourage investors
Kittisak Chumpong   +1 more
doaj   +1 more source

Time Dependent Heston Model [PDF]

open access: yesSIAM Journal on Financial Mathematics, 2009
The use of the Heston model is still challenging because it has a closed formula only when the parameters are constant [Hes93] or piecewise constant [MN03]. Hence, using a small volatility of volatility expansion and Malliavin calculus techniques, we derive an accurate analytical formula for the price of vanilla options for any time dependent Heston ...
Benhamou, Eric   +2 more
openaire   +6 more sources

PERHITUNGAN VALUE AT RISK DENGAN PENDUGA VOLATILITAS STOKASTIK HESTON

open access: yesE-Jurnal Matematika, 2018
Value at risk is a method that measures financial risk of an security or portfolio. The aims of the research is to find out the value at risk of an exchange rate using the Heston stochastic volatility model. Heston model is a strochastic volatility model
DESAK PUTU DEVI DAMIYANTI   +2 more
doaj   +1 more source

Deep learning for option pricing under Heston and Bates models [PDF]

open access: yesMathematics and Modeling in Finance, 2023
This paper proposes a new approach to pricing European options using deep learning techniques under the Heston and Bates models of random fluctuations.
Ali Bolfake   +2 more
doaj   +1 more source

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