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Cited by 772

The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

Nonlinear Dynamics and Stock Returns

Scheinkman, Jose A., LeBaron, Blake·1989·The Journal of Business

Abstract

Simple deterministic systems are capable of generating chaotic output that mimics the output of stochastic systems. For this reason, algorithms have been developed to distinguish between these two alternatives. These algorithms and related statistical tests are also useful in detecting the presence of nonlinear dependence in time series. In this article, the authors apply these procedures to stock returns and find evidence that indicates the presence of nonlinear dependence on weekly returns from the Center for Research in Security Prices value-weighted index. Copyright 1989 by the University of Chicago.

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Metadata

Authors
Scheinkman, J. A., & LeBaron, B.
Venue
The Journal of Business
Published
1989-01
Volume
62
Issue
3
Pages
311
ISSN
  • 0021-9398 (ISSN-L)
  • 1537-5374
OpenAlex
W1987203652
Cited by
772
References
17
FWCI
68.16
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Nonlinear Dynamics and Stock Returns. https://app.cochat.ai/papers/10.1086/296465
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Scheinkman, J. A., & LeBaron, B. (1989). Nonlinear Dynamics and Stock Returns. The Journal of Business. https://doi.org/10.1086/296465

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.