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Stephen Brown

Researcher at Auckland University of Technology

Publications -  72
Citations -  4488

Stephen Brown is an academic researcher from Auckland University of Technology. The author has contributed to research in topics: Heart rate & Eccentric. The author has an hindex of 26, co-authored 72 publications receiving 4105 citations. Previous affiliations of Stephen Brown include University of Maryland, College Park & De Montfort University.

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Use of R2 in accounting research: measuring changes in value relevance over the last four decades

TL;DR: In this paper, the authors show that scale effects present in levels regressions increase R 2, and this effect increases the scale factor's coefficient of variation, and that there has been a decline in value relevance, as measured by R 2.
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How Disclosure Quality Affects the Level of Information Asymmetry

TL;DR: In this paper, the authors examine two potential mechanisms through which disclosure quality is expected to reduce information asymmetry: altering the trading incentives of informed and uninformed investors so that there is relatively less trading by privately informed investors, and reducing the likelihood that investors discover and trade on private information.
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How disclosure quality affects the level of information asymmetry

TL;DR: In this paper, the authors examine two potential mechanisms through which disclosure quality is expected to reduce information asymmetry: altering the trading incentives of informed and uninformed investors so that there is relatively less trading by privately informed investors, and reducing the likelihood that investors discover and trade on private information.
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Conference calls and information asymmetry

TL;DR: In this paper, the authors hypothesize that conference calls are voluntary disclosures that lead to long-term reductions in information asymmetry among equity investors, and they show that firms that hold conference calls more frequently have lower costs of capital.
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Use of R-squared in Accounting Research: Measuring Changes in Value Relevance over the Last Four Decades

TL;DR: In this paper, the authors examine the properties of the R-squared metric frequently used in accounting research as a measure of value relevance and show that the metric is unreliable in the presence of scale effects.