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Cited by 358

The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.

Diversification, Integration and Emerging Market Closed‐End Funds

Open access
BEKAERT, GEERT, URIAS, MICHAEL S.·1996·The Journal of Finance

Abstract

We study a new class of unconditional and conditional mean‐variance spanning tests that exploits the duality between Hansen‐Jagannathan bounds (1991) and mean‐standard deviation frontiers. The tests are shown to be equivalent to standard spanning tests in population, but we document substantial differences in the small sample performance of alternative tests. Our empirical application examines the diversification benefits from emerging equity markets using an extensive new data set on U.S. and U.K.‐traded closed‐end funds. We find significant diversification benefits for the U.K. country funds, but not for the U.S. funds. The difference appears to relate to differences in portfolio holdings rather than to the behavior of premiums in the United States versus the United Kingdom.

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Crossref · 10.1111/j.1540-6261.1996.tb02709.x

Cites

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Metadata

Authors
BEKAERT, G., & URIAS, M. S.
Venue
The Journal of Finance
Publisher
Wiley
Published
1996-07
Volume
51
Issue
3
Pages
835-869
ISSN
  • 0022-1082 (ISSN-L)
  • 1540-6261
OpenAlex
W1588588285
Cited by
358
References
31
FWCI
21.74
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Diversification, Integration and Emerging Market Closed‐End Funds. https://app.cochat.ai/papers/10.1111/j.1540-6261.1996.tb02709.x
The paper
BEKAERT, G., & URIAS, M. S. (1996). Diversification, Integration and Emerging Market Closed‐End Funds. The Journal of Finance. https://doi.org/10.1111/j.1540-6261.1996.tb02709.x

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.