Cross-Firm Return Predictability and Accounting Quality

Cross-Firm Return Predictability and Accounting Quality PDF Author: Wen Chen
Publisher:
ISBN:
Category :
Languages : en
Pages : 47

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Book Description
We examine whether cross-firm return predictability is associated with accounting quality (AQ), and find that stock returns of good AQ firms significantly positively predict one-month-ahead stock returns to industry- and size- matched poor AQ firms. In testing a delayed-information-processing mechanism behind the cross-firm return predictability, we find that: (i) Analyst earnings forecast revisions (FR) mimic the return patterns, as FR of good AQ firms significantly positively predict one-month-ahead FR of matched poor AQ firms; (ii) Cross-firm return predictability is concentrated in months with substantial news arrival, but not in no-news months; (iii) Cross-firm return predictability is stronger when the good AQ predictor firms have a richer information environment than poor AQ firms as proxied by analyst following and institutional ownership. Collectively the results uncover a new relation between accounting quality and stock return dynamics.

The Information Content of 10-K's Disaggregation Quality on Future Firm Performance

The Information Content of 10-K's Disaggregation Quality on Future Firm Performance PDF Author: Yulin Huang
Publisher:
ISBN:
Category :
Languages : en
Pages : 67

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Book Description
We propose that the disaggregation quality (DQ) of 10-K reports, which measures the detail of accounting information based on a count of non-missing Compustat line items, is valuable in predicting firms' future performance. Empirical results show that firms with higher DQ have higher subsequent profitability and valuation. The DQ can also positively predict future stock returns in the cross section. The return predictability is stronger for young firms, firms with higher return volatility, and in periods with high investor sentiment. The findings are robust to the inclusion of variables shown to be correlated with firm operating and stock performance in the literature.

Empirical Asset Pricing

Empirical Asset Pricing PDF Author: Turan G. Bali
Publisher: John Wiley & Sons
ISBN: 1118589475
Category : Business & Economics
Languages : en
Pages : 512

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Book Description
“Bali, Engle, and Murray have produced a highly accessible introduction to the techniques and evidence of modern empirical asset pricing. This book should be read and absorbed by every serious student of the field, academic and professional.” Eugene Fama, Robert R. McCormick Distinguished Service Professor of Finance, University of Chicago and 2013 Nobel Laureate in Economic Sciences “The empirical analysis of the cross-section of stock returns is a monumental achievement of half a century of finance research. Both the established facts and the methods used to discover them have subtle complexities that can mislead casual observers and novice researchers. Bali, Engle, and Murray’s clear and careful guide to these issues provides a firm foundation for future discoveries.” John Campbell, Morton L. and Carole S. Olshan Professor of Economics, Harvard University “Bali, Engle, and Murray provide clear and accessible descriptions of many of the most important empirical techniques and results in asset pricing.” Kenneth R. French, Roth Family Distinguished Professor of Finance, Tuck School of Business, Dartmouth College “This exciting new book presents a thorough review of what we know about the cross-section of stock returns. Given its comprehensive nature, systematic approach, and easy-to-understand language, the book is a valuable resource for any introductory PhD class in empirical asset pricing.” Lubos Pastor, Charles P. McQuaid Professor of Finance, University of Chicago Empirical Asset Pricing: The Cross Section of Stock Returns is a comprehensive overview of the most important findings of empirical asset pricing research. The book begins with thorough expositions of the most prevalent econometric techniques with in-depth discussions of the implementation and interpretation of results illustrated through detailed examples. The second half of the book applies these techniques to demonstrate the most salient patterns observed in stock returns. The phenomena documented form the basis for a range of investment strategies as well as the foundations of contemporary empirical asset pricing research. Empirical Asset Pricing: The Cross Section of Stock Returns also includes: Discussions on the driving forces behind the patterns observed in the stock market An extensive set of results that serve as a reference for practitioners and academics alike Numerous references to both contemporary and foundational research articles Empirical Asset Pricing: The Cross Section of Stock Returns is an ideal textbook for graduate-level courses in asset pricing and portfolio management. The book is also an indispensable reference for researchers and practitioners in finance and economics. Turan G. Bali, PhD, is the Robert Parker Chair Professor of Finance in the McDonough School of Business at Georgetown University. The recipient of the 2014 Jack Treynor prize, he is the coauthor of Mathematical Methods for Finance: Tools for Asset and Risk Management, also published by Wiley. Robert F. Engle, PhD, is the Michael Armellino Professor of Finance in the Stern School of Business at New York University. He is the 2003 Nobel Laureate in Economic Sciences, Director of the New York University Stern Volatility Institute, and co-founding President of the Society for Financial Econometrics. Scott Murray, PhD, is an Assistant Professor in the Department of Finance in the J. Mack Robinson College of Business at Georgia State University. He is the recipient of the 2014 Jack Treynor prize.

Earnings Quality

Earnings Quality PDF Author: Jennifer Francis
Publisher: Now Publishers Inc
ISBN: 1601981147
Category : Business & Economics
Languages : en
Pages : 97

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Book Description
This review lays out a research perspective on earnings quality. We provide an overview of alternative definitions and measures of earnings quality and a discussion of research design choices encountered in earnings quality research. Throughout, we focus on a capital markets setting, as opposed, for example, to a contracting or stewardship setting. Our reason for this choice stems from the view that the capital market uses of accounting information are fundamental, in the sense of providing a basis for other uses, such as stewardship. Because resource allocations are ex ante decisions while contracting/stewardship assessments are ex post evaluations of outcomes, evidence on whether, how and to what degree earnings quality influences capital market resource allocation decisions is fundamental to understanding why and how accounting matters to investors and others, including those charged with stewardship responsibilities. Demonstrating a link between earnings quality and, for example, the costs of equity and debt capital implies a basic economic role in capital allocation decisions for accounting information; this role has only recently been documented in the accounting literature. We focus on how the precision of financial information in capturing one or more underlying valuation-relevant constructs affects the assessment and use of that information by capital market participants. We emphasize that the choice of constructs to be measured is typically contextual. Our main focus is on the precision of earnings, which we view as a summary indicator of the overall quality of financial reporting. Our intent in discussing research that evaluates the capital market effects of earnings quality is both to stimulate further research in this area and to encourage research on related topics, including, for example, the role of earnings quality in contracting and stewardship.

Economic Links and Cross-predictability of Stock Returns

Economic Links and Cross-predictability of Stock Returns PDF Author: Sebastian Müller
Publisher:
ISBN:
Category :
Languages : en
Pages : 83

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Book Description
Prior research has shown that information diffuses gradually across stocks that are economically linked at the industry level. I document a similar pattern when stock portfolios are formed based on characteristics that are used in the anomaly literature (e.g., size, value, asset growth). Specifically, characteristics are useful to identify economic links, and earnings surprises contain information about future returns of other firms that share similar characteristics (i.e., “similar-style” firms). Such style-based earnings surprises can be used to predict style returns in the time-series. For the cross-section of stocks, I create a composite style-based earnings surprise measure (SESM), which generates an equal-weighted (value-weighted) long-short strategy return of 167 (101) basis points per month. I do not find that industry spillovers, the traditional post-earnings announcement drift, unconditional abnormal style returns, or risk can explain the return predictability. My findings suggest a further channel of gradual information diffusion in security markets.

Return Predictability

Return Predictability PDF Author: Julien Penasse
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Cross-sectional and Time-series Tests of Return Predictability

Cross-sectional and Time-series Tests of Return Predictability PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Statistics of Random Processes II

Statistics of Random Processes II PDF Author: R.S. Liptser
Publisher: Springer Science & Business Media
ISBN: 1475742932
Category : Mathematics
Languages : en
Pages : 348

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Reconciling the Return Predictability Evidence

Reconciling the Return Predictability Evidence PDF Author: Martin Lettau
Publisher:
ISBN:
Category : Price-earnings ratio
Languages : en
Pages : 27

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Earnings Quality

Earnings Quality PDF Author: Patricia M. Dechow
Publisher: Research Foundation of the Institute of Chartered Financial Analysts
ISBN: 9780943205687
Category : Corporate profits
Languages : en
Pages : 152

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Book Description