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Journal of Symbolic Computation
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Journal of Symbolic Computation
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The Riccati Equation in Mathematical Finance

The Riccati equation in mathematical finance.
Authors: Phelim P. Boyle; W. Tian; Fred Guan;

The Riccati Equation in Mathematical Finance

Abstract

The authors summarize the relevant literature on closed-form solutions to the Riccati equation. They describe Kovacic's important contributions to the field. Next, they summarize some of the relevant aspects of the Cox-Ingersoll-Ross model. They describe in more detail the connection between the Riccati equation and practical implementation of the CIR model. They also show that the basic intuition of an analytical solution that has been proposed in the finance literature by \textit{F. Jamshidian} [Appl. Math. Finance 3, 93--115 (1996; Zbl 1097.91525)] ties in closely with the definition proposed for closed-form solutions. They give an explicit example of a new implementation of the extended CIR model that they developed using the ideas in this paper.

Keywords

Computational Mathematics, Algebra and Number Theory, Qualitative investigation and simulation of ordinary differential equation models, Nonlinear ordinary differential equations and systems, Finance etc.

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Impulse provided by BIP!
28
Top 10%
Top 10%
Average
hybrid