The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Time-Varying World Market Integration
Abstract
We propose a conditional measure of capital market integration that allows us to characterize both the cross-section and time-series of expected returns in developed and emerging markets.Our measure, which arises from a conditional regime-switching model, allows us to describe expected returns in countries that are segmented from world capital markets in one part of the sample and become integrated later in the sample.Our results suggest that a number of emerging markets exhibit time-varying integration.Interestingly, some markets appear to be more integrated than one might expect based on prior knowledge of investment restrictions.Other markets appear segmented even though foreigners have relatively free access to their capital markets.
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Cites
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A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle
Hamilton, J. D. (1989) · Econometrica · doi:10.2307/1912559 · Cited by 9,646
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Quasi-maximum likelihood estimation and inference in dynamic models with time-varying covariances
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Self-citation
Cited by
Emerging equity markets and economic development
Bekaert, G., Harvey, C. R., & Lundblad, C. (2001) · Journal of Development Economics · doi:10.1016/s0304-3878(01)00171-7 · Cited by 404
Self-citationBekaert, G., Harvey, C. R., Lundblad, C. T., & Siegel, S. (2011) · Review of Financial Studies · doi:10.1093/rfs/hhr082 · Cited by 394
Self-citationGovernance and stock market performance
Hooper, V., Sim, A. B., & Uppal, A. (2009) · Economic Systems · doi:10.1016/j.ecosys.2009.03.001 · Cited by 87
Metadata
- Authors
- Bekaert, G., & Harvey, C. R.
- Venue
- The Journal of Finance
- Publisher
- JSTOR
- Published
- 1995-06
- Volume
- 50
- Issue
- 2
- Pages
- 403
- ISSN
- 0022-1082 (ISSN-L)
- OpenAlex
- W4229685804
- Cited by
- 594
- References
- 29
- FWCI
- 17.08
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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