Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 968

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

No Contagion, Only Interdependence: Measuring Stock Market Co-movements

Open access
Forbes, Kristin, Rigobon, Roberto·1999·National Bureau of Economic Research

Abstract

This paper examines stock market co-movements.It begins with a discussion of several conceptual issues involved in measuring these movements and how to test for contagion.Standard tests examine if cross-market correlation in stock market returns increase during a period of crisis.The measure of cross-market correlations central to this standard analysis, however, is biased.The unadjusted correlation coefficient is conditional on market movements over the time period under consideration, so that during a period of turmoil when stock market volatility increases, standard estimates of cross-market correlations will be biased upward.It is straightforward to adjust the correlation coefficient to correct for this bias.The remainder of the paper applies these concepts to test for stock market contagion during the 1997 East Asian crises, the 1994 Mexican peso collapse, and the 1987 U.S. stock market crash.In each of these cases, tests based on the unadjusted correlation coefficients find evidence of contagion in several countries, while tests based on the adjusted coefficients find virtually no contagion.This suggests that high market co-movements during these periods were a continuation of strong cross-market linkages.In other words, during these three crises there was no contagion, only interdependence.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3386/w7267

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 1 references

Cited by

See all 968

Metadata

Authors
Forbes, K., & Rigobon, R.
Venue
National Bureau of Economic Research
Published
1999-07
OpenAlex
W2115899065
Cited by
968
References
1
Type
report
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: No Contagion, Only Interdependence: Measuring Stock Market Co-movements. https://app.cochat.ai/papers/10.3386/w7267
The paper
Forbes, K., & Rigobon, R. (1999). No Contagion, Only Interdependence: Measuring Stock Market Co-movements. National Bureau of Economic Research. https://doi.org/10.3386/w7267

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.