Algorithmic complexity of financial motions

We survey the main applications of algorithmic (Kolmogorov) complexity to the problem of price dynamics in financial markets. We stress the differences between these works and put forward a general algorithmic framework in order to highlight its potential for financial data analysis. This framework is “general” in the sense that it is not constructed on the common assumption that price variations are predominantly stochastic in nature.

MoreLess

Year of publication:	2014
Authors:	Brandouy, Olivier ; Delahaye, Jean-Paul ; Ma, Lin ; Zenil, Hector
Published in:	Research in International Business and Finance. - Elsevier, ISSN 0275-5319. - Vol. 30.2014, C, p. 336-347
Publisher:	Elsevier
Subject:	Algorithmic information theory \| Kolmogorov complexity \| Financial returns \| Market efficiency \| Compression algorithms \| Information theory \| randomness \| Price movements \| Algorithmic probability

More details

Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10011043147