Results 11 to 20 of about 13,222,209 (296)

Tau method for pricing American options under complex models [PDF]

open access: yesMathematics and Modeling in Finance, 2021
The European option can be exercised only at the expiration date while an American option can be exercised on or at any time before the expiration date.
Samaneh Bani Asadi, Azim Rivaz
doaj   +1 more source

Machine Learning to Compute Implied Volatility from European/American Options Considering Dividend Yield

open access: yesProceedings, 2020
Computing implied volatility from observed option prices is a frequent and challenging task in finance, even more in the presence of dividends. In this work, we employ a data-driven machine learning approach to determine the Black–Scholes implied ...
Shuaiqiang Liu   +3 more
doaj   +1 more source

American options in an imperfect complete market with default

open access: yesESAIM: Proceedings and Surveys, 2018
We study pricing and hedging for American options in an imperfect market model with default, where the imperfections are taken into account via the nonlinearity of the wealth dynamics. The payoff is given by an RCLL adapted process (ξt).
Dumitrescu Roxana   +2 more
doaj   +1 more source

Option Pricing, Zero Lower Bound, and COVID-19

open access: yesRisks, 2021
This paper provides a quantitative assessment of equity options priced at the Zero Lower Bound, i.e., when interest rates are set essentially to zero. We obtain closed form formulas for American options when the Zero Lower Bound policy holds.
Giacomo Morelli, Lea Petrella
doaj   +1 more source

Supervised Machine Learning with Control Variates for American Option Pricing

open access: yesFoundations of Computing and Decision Sciences, 2018
In this paper, we make use of a Bayesian (supervised learning) approach in pricing American options via Monte Carlo simulations. We first present Gaussian process regression (Kriging) approach for American options pricing and compare its performance in ...
Mu Gang   +3 more
doaj   +1 more source

Neural Network Pricing of American Put Options

open access: yesRisks, 2020
In this study, we use Neural Networks (NNs) to price American put options. We propose two NN models—a simple one and a more complex one—and we discuss the performance of two NN models with the Least-Squares Monte Carlo (LSM) method.
Raquel M. Gaspar   +2 more
doaj   +1 more source

Pricing methods for American options [PDF]

open access: yes, 2003
Bibliography: leaves 89-94.This thesis is about the comparison of Pricing models for the valuation of American Options. Three classes of numerical approaches are considered.
Duvel, Heimo
core   +1 more source

Projection and Contraction Method for Pricing American Bond Options

open access: yesMathematics, 2023
In this paper, an effective numerical method is proposed for a linear complementarity problem (LCP) arising in the valuation of American bond options under the Cox–Ingersoll–Ross (CIR) model.
Qi Zhang   +4 more
doaj   +1 more source

American Options

open access: yesSSRN Electronic Journal, 2016
One of the most important things that rules the world, is the economy. And the science that explains better the economy, is maths. When I was a child, I wanted to become an economist. So I decided to study maths because the background of the economy is maths, and knowing maths, you can understand the economy.
  +6 more sources

High dimensional American options [PDF]

open access: yes, 2005
Pricing single asset American options is a hard problem in mathematical finance. There are no closed form solutions available (apart from in the case of the perpetual option), so many approximations and numerical techniques have been developed.
Firth, Neil Powell
core   +1 more source

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