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Cited by 720

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Stock Returns and Volatility

Baillie, Richard T., DeGennaro, Ramon P.·1990·The Journal of Financial and Quantitative Analysis

Abstract

Most asset pricing models postulate a positive relationship between a stock portfolio's expected returns and risk, which is often modeled by the variance of the asset price. This paper uses GARCH in mean models to examine the relationship between mean returns on a stock portfolio and its conditional variance or standard deviation. After estimating a variety of models from daily and monthly portfolio return data, we conclude that any relationship between mean returns and own variance or standard deviation is weak. The results suggest that investors consider some other risk measure to be more important than the variance of portfolio returns.

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Metadata

Authors
Baillie, R. T., & DeGennaro, R. P.
Venue
The Journal of Financial and Quantitative Analysis
Publisher
JSTOR
Published
1990-06
Volume
25
Issue
2
Pages
203
ISSN
0022-1090 (ISSN-L)
OpenAlex
W1989729764
Cited by
720
References
2
FWCI
22.83
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Stock Returns and Volatility. https://app.cochat.ai/papers/10.2307/2330824
The paper
Baillie, R. T., & DeGennaro, R. P. (1990). Stock Returns and Volatility. The Journal of Financial and Quantitative Analysis. https://doi.org/10.2307/2330824

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.