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Journal ArticleDOI

Structural and Return Characteristics of Small and Large Firms

Ka Keung Ceajer Chan, +1 more
- 01 Sep 1991 - 
- Vol. 46, Iss: 4, pp 1467-1484
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TLDR
In this article, the authors examine differences in structural characteristics that lead firms of different sizes to react differently to the same economic news and find that a small firm portfolio contains a large proportion of marginal firms-firms with low production efficiency and high financial leverage.
Abstract
We examine differences in structural characteristics that lead firms of different sizes to react differently to the same economic news We find that a small firm portfolio contains a large proportion of marginal firms-firms with low production efficiency and high financial leverage We construct two size-matched return indices designed to mimic the return behavior of marginal firms and find that these return indices are important in explaining the time-series return difference between small and large firms Furthermore, risk exposures to these indices are as powerful as log(size) in explaining average returns of size-ranked portfolios WHY DO SMALL CAPITALIZATION stocks earn higher mean returns than large capitalization stocks? One view is that small and large stocks have different sensitivities to the risk factors important for pricing assets (see Chan, Chen, and Hsieh (1985) and Huberman, Kandel, and Karolyi (1987))1 This view emphasizes that the risk differences between small and large stocks arise from the differences in their time series responses to changes in the underlying risk factors Chan, Chen, and Hsieh (1985) find that small firms are more exposed to production risk and changes in the risk premium Huberman, Kandel, and Karolyi (1987) find that returns of firms within the same size range tend to respond to risk factors in similar ways, and their returns tend to move together Although these studies have shown that there are risk differences between small and large firms, they do not suggest why Smallness by itself does not necessarily imply higher risk, and differences in market capitalizations do not explain why small and large firms have different responses to economic news This study suggests that the small firms examined in the empirical litera

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Citations
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Journal ArticleDOI

The Cross‐Section of Expected Stock Returns

TL;DR: In this paper, Bhandari et al. found that the relationship between market/3 and average return is flat, even when 3 is the only explanatory variable, and when the tests allow for variation in 3 that is unrelated to size.
Journal ArticleDOI

Multifactor Explanations of Asset Pricing Anomalies

TL;DR: In this article, the authors show that many of the CAPM average-return anomalies are related, and they are captured by the three-factor model in Fama and French (FF 1993).
Journal ArticleDOI

Industry costs of equity

TL;DR: In this paper, the authors show that standard errors of more than 3.0% per year are typical for both the CAPM and the three-factor model of Fama and French (1993), and these large standard errors are the result of uncertainty about true factor risk premiums and imprecise estimates of the loadings of industries on the risk factors.
Journal ArticleDOI

Efficient Capital Markets: II

Eugene F. Fama
- 01 Dec 1991 - 
TL;DR: A review of the market efficiency literature can be found in this article, where the authors discuss the work that they find most interesting, and offer their views on what we have learned from the research on market efficiency.
Journal ArticleDOI

The Cross-section of Expected Stock Returns

TL;DR: In this paper, the cross-sectional properties of return forecasts derived from Fama-MacBeth regressions were studied, and the authors found that the forecasts vary substantially across stocks and have strong predictive power for actual returns.
References
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Journal ArticleDOI

A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity

Halbert White
- 01 May 1980 - 
TL;DR: In this article, a parameter covariance matrix estimator which is consistent even when the disturbances of a linear regression model are heteroskedastic is presented, which does not depend on a formal model of the structure of the heteroSkewedness.
Journal ArticleDOI

Risk, Return, and Equilibrium: Empirical Tests

TL;DR: In this article, the relationship between average return and risk for New York Stock Exchange common stocks was tested using a two-parameter portfolio model and models of market equilibrium derived from the two parameter portfolio model.
Journal ArticleDOI

Corporate financing and investment decisions when firms have information that investors do not have

TL;DR: In this paper, a firm that must issue common stock to raise cash to undertake a valuable investment opportunity is considered, and an equilibrium model of the issue-invest decision is developed under these assumptions.
Posted ContentDOI

Credit Rationing in Markets with Imperfect Information.

TL;DR: In this paper, a model is developed to provide the first theoretical justification for true credit rationing in a loan market, where the amount of the loan and amount of collateral demanded affect the behavior and distribution of borrowers, and interest rates serve as screening devices for evaluating risk.
Journal ArticleDOI

Does the Stock Market Overreact

TL;DR: In this article, a study of market efficiency investigates whether people tend to "overreact" to unexpected and dramatic news events and whether such behavior affects stock prices, based on CRSP monthly return data, is consistent with the overreaction hypothesis.