Testing for non-linearity in an artificial financial market: a recurrence quantification approach

被引:15
作者
Belaire-Franch, J [1 ]
机构
[1] Univ Valencia, Fac Econ, Dept Econ Anal, Valencia 46022, Spain
关键词
non-linear dynamics; RQA; bootstrap; artificial financial market;
D O I
10.1016/j.jebo.2003.05.001
中图分类号
F [经济];
学科分类号
02 ;
摘要
In this paper, earlier work on testing for non-linear dynamics on realizations from an artificial financial market is extended in two ways. On the one hand, Hinich's bispectral test and White's neural network test are computed. On the other hand, a recently developed methodology to test for hidden structures in data, inherited from Physics, is successfully applied on the realizations of the artificial market. Results among alternative tests are compared. (C) 2003 Elsevier B.V. All rights reserved.
引用
收藏
页码:483 / 494
页数:12
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