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Article . 2003 . Peer-reviewed
License: Wiley TDM
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Filtering in Finance

Authors: Lautier, Delphine; Javaheri, Alireza; Galli, Alain;

Filtering in Finance

Abstract

In this article we present an introduction to various Filtering algorithms and some of their applications to the world of Quantitative Finance. We shall first mention the fundamental case of Gaussian noises where we obtain the well-known Kalman Filter. Because of common nonlinearities, we will be discussing the Extended Kalman Filter.

Country
France
Keywords

particle filter, term structure, commodity prices, Commodity Prices; Term Structure; Stock Prices; Kalman Filter;, Stock Prices, extended Kalman filter, Commodity Prices, Economie financière, Term Structure, O13, 332, 510, stock prices, Kalman filter, [SHS.ECO] Humanities and Social Sciences/Economics and Finance, Kalman Filter, B23, jel: jel:B23, jel: jel:O13

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    influence
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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!
26
Top 10%
Top 10%
Average
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