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18 results with keyword: 'dimension variance reduction monte carlo method pricing diffusion'

Stabilized Numerical Methods for Stochastic Differential Equations driven by Diffusion and Jump-Diffusion Processes

Keywords: Stochastic Differential Equations, Diffusion Processes, Jump-Diffusion Processes, Monte Carlo Method, Variance Reduction Techniques, Multilevel Monte Carlo Method,

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2021
A dimension and variance reduction Monte-Carlo method for option pricing under jump-diffusion models

We develop a highly e ffi cient MC method for computing plain vanilla European option prices and hedging parameters under a very general jump-di ff usion option pricing model

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2021
Variance Reduction Techniques of Importance Sampling Monte Carlo Methods for Pricing Options

Keywords: Monte Carlo Method; Importance Sampling; Variance Reduction; Option

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2020
A multi-level dimension reduction Monte-Carlo method for jump-diffusion models

Dang, A multi-level dimension reduction Monte-Carlo method for jump-diffusion models, Journal of Computational and Applied Mathematics..

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2021
Fast Monte Carlo Simulation for Pricing Covariance Swap under Correlated Stochastic Volatility Models

In this paper, by PDE method and Monte Carlo variance reduction techniques, the modeling and pricing of covariance swap derivatives under the correlated stochastic volatility

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2020
You re hired! Privacy issues when onboarding new employees. Ann Bevitt, Morrison & Foerster. John Gevertz, ADP. 19 April 2013 Presented By

• Explain to the applicant the nature of and sources from which information might be obtained and, if necessary, get consent. • Only Google to obtain specific information, not as

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Variance Reduction. Pricing American Options. Monte Carlo Option Pricing. Delta and Common Random Numbers

• It is a deterministic version of the Monte Carlo method in that random samples are replaced by deterministic quasi-random points.. • If a smaller number of samples suffices as

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2022
Variance Reduction Techniques in Monte Carlo Methods

Keywords: common random numbers, antithetic random numbers, importance sampling, control variates, conditioning, strati ed sampling, splitting, quasi Monte Carlo.. JEL: C0,

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Swedish Law as an Example The Nairobi Convention Summary. Wreck Removal. Jhonnie Kern University of Gothenburg

I If the wreck is not removed within the deadline (or if the registered owner cannot be contacted), the Affected State may remove the wreck (art. The Affected State may also remove

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VARIANCE REDUCTION TECHNIQUES FOR IMPLICIT MONTE CARLO SIMULATIONS

If a particle contained a weight larger than the upper bound of the weight window then the particle would be split into additional particles, and if a particle contained a weight

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2021
Impact of Forensic Accounting on University Financial System in Nigeria

University management and the stakeholders viz Government, Universities regulators which include National Universities Commission (NUC) and supervisory bodies such

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2021
Variance analysis of control variate technique and applications in Asian option pricing

Keywords : Monte Carlo simulation; Arithmetic Asian options; Variance reduction technique; Control variates;

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2021
Variance analysis of control variate technique and applications in Asian option ‎pricing‎

Keywords : Monte Carlo simulation; Arithmetic Asian options; Variance reduction technique; Control variates;

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2020
Understanding Simple Network Management Protocol (SNMP) Traps

Instead of having the trap Enterprise field still the sysObjectID and having the Specific trap code to identify all specific traps supported by all Cisco devices, Cisco..

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Numerical simulations for the pricing of options in jump diffusion markets

Model with jumps; Incomplete markets; European options; Monte Carlo method.. Abstract In this paper we find numerical solutions for the pricing problem in jump

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2021
Class notes: Monte Carlo methods Week 2, Variance reduction Jonathan Goodman February 17, 2015

Class notes: Monte Carlo methods Week 2, Variance reduction.. Jonathan Goodman February

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2021
Visibility Map for Global Illumination in Point Clouds

The lack of surface information in point models creates difficulties in operations like generating global illumination effects and computing point-pair visibility

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2021
Reduction error in Asian option pricing based on partition Monte Carlo method

In this paper, we study Faure sequence(Faure sequence is low-discrepancy sequence), and introduce partition Monte Carlo and we employ to obtain significant improvement in Asian

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2020

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