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[КНИГА][B] The Heston model and its extensions in Matlab and C
FD Rouah - 2013 - books.google.com
Tap into the power of the most popular stochastic volatility model for pricing equity
derivatives Since its introduction in 1993, the Heston model has become a popular model for …
derivatives Since its introduction in 1993, the Heston model has become a popular model for …
Unified moment-based modeling of integrated stochastic processes
In this paper, we present a new method for simulating integrals of stochastic processes. We
focus on the nontrivial case of time integrals, conditional on the state variable levels at the …
focus on the nontrivial case of time integrals, conditional on the state variable levels at the …
[HTML][HTML] On the existence and uniqueness of the solution to the double Heston model equation and valuing Lookback option
In this work, we study the existence and uniqueness of the solution to the stochastic
differential equation of the double Heston model which is defined by two independent …
differential equation of the double Heston model which is defined by two independent …
American option pricing under the double Heston model based on asymptotic expansion
SM Zhang, Y Feng - Quantitative Finance, 2019 - Taylor & Francis
This paper focuses on pricing American put options under the double Heston model
proposed by Christoffersen et al. By introducing an explicit exercise rule, we obtain the …
proposed by Christoffersen et al. By introducing an explicit exercise rule, we obtain the …
Calibration of the double Heston model and an analytical formula in pricing American put option
This paper proposes a novel approach to pricing of American put option under double
Heston model. We develop an analytical solution to the double Heston partial differential …
Heston model. We develop an analytical solution to the double Heston partial differential …
A Bayesian high-frequency estimator of the multivariate covariance of noisy and asynchronous returns
A multivariate positive definite estimator of the integrated covariance matrix of noisy and
asynchronously observed asset returns is proposed. We adopt a Bayesian Dynamic Linear …
asynchronously observed asset returns is proposed. We adopt a Bayesian Dynamic Linear …
LSM algorithm for pricing American option under Heston–Hull–White's stochastic volatility model
O Samimi, Z Mardani, S Sharafpour… - Computational …, 2017 - Springer
In this paper, we present American option pricing under Heston–Hull–White's stochastic
volatility and stochastic interest rate model. To do this, we first discretize the stochastic …
volatility and stochastic interest rate model. To do this, we first discretize the stochastic …
An investigation of model risk in a market with jumps and stochastic volatility
The aim of this paper is to investigate model risk aspects of variance swaps and forward-
start options in a realistic market setup where the underlying asset price process exhibits …
start options in a realistic market setup where the underlying asset price process exhibits …
Pricing Multiasset Cross‐Currency Options
K Shiraya, A Takahashi - Journal of Futures Markets, 2014 - Wiley Online Library
This study develops a general pricing method for multiasset cross‐currency options, whose
underlying asset consists of multiple different assets, and the evaluation currency is different …
underlying asset consists of multiple different assets, and the evaluation currency is different …
Lookback option pricing under the double Heston model using a deep learning algorithm
To price floating strike lookback options, we obtain a partial differential equation (PDE)
according to the double Heston model. To solve the PDE, we employ a deep learning …
according to the double Heston model. To solve the PDE, we employ a deep learning …