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Notice of Retraction: Stochastic Differential Equations Numerical Simulation Algorithm for Financial Problems Based on Euler Method

Authors: Zhou Qihai; Han Zaixing; Huang Tao; Sun Xiezhi; Li Yan; Duan Yan-ge; Pubu Zuoma;

Notice of Retraction: Stochastic Differential Equations Numerical Simulation Algorithm for Financial Problems Based on Euler Method

Abstract

The financial problems often relate to many stochastic differential equations which is difficult to solve. Based on the traditional numerical methods for solving determinate ordinary differential equations (ODEs), the paper presents the numerical methods of stochastic ordinary differential equations (SODEs). The numerical methods mainly considered in the paper include Euler method and Euler method discusses three numerical schemes, i.e. explicit scheme, semi-implicit scheme and implicit scheme. Finally, the paper uses Euler methods to simulate linear stochastic ordinary differential equation. Numerical results indicate that Euler methods are the simple but have a certain practicality. In addition, all these Euler method including explicit, semi-implicit and implicit scheme in this paper can be applied to high-order stochastic ordinary differential equations, stochastic partial differential coefficient equations, and so on.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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