Accounting Information and Equity Valuation

Theory, Evidence, and Applications

Business & Finance, Accounting, Management, Finance & Investing, Finance
Cover of the book Accounting Information and Equity Valuation by Guochang Zhang, Springer New York
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Guochang Zhang ISBN: 9781461481607
Publisher: Springer New York Publication: September 28, 2013
Imprint: Springer Language: English
Author: Guochang Zhang
ISBN: 9781461481607
Publisher: Springer New York
Publication: September 28, 2013
Imprint: Springer
Language: English

The purpose of this book is to offer a more systematic and structured treatment of the research on accounting‐based valuation, with a primary focus on recent theoretical developments and the resulting empirical analyses that recognize the role of accounting information in making managerial decisions.

Since its inception, valuation research in accounting has evolved primarily along an “empirically driven” path. In the absence of models constructed specifically to explain this topic, researchers have relied on economic intuition and theories from other disciplines (mainly finance and economics) as a basis for designing empirical analyses and interpreting findings. Although this literature has shed important light on the usefulness of accounting information in capital markets, it is obvious that the lack of a rigorous theoretical framework has hindered the establishment of a systematic and well‐structured literature and made it difficult to probe valuation issues in depth.

More recently, however, progress has been made on the theoretical front. The two most prominent frameworks are (i) the “linear information dynamic approach” and (ii) the “real options‐based approach” which recognizes managerial uses of accounting information in the pursuit of value generation. This volume devotes its initial chapters to an evaluation of the models using the linear dynamic approach, and then provides a synthesis of the theoretical studies that adopt the real options approach and the empirical works which draw on them. The book also makes an attempt to revisit and critique existing empirical research (value-relevance and earnings-response studies) within the real options-based framework. It is hoped that the book can heighten interest in integrating theoretical and empirical research in this field, and play a role in helping this literature develop into a more structured and cohesive body of work.

Value is of ultimate concern to economic decision-makers, and valuation theory should serve as a platform for studying other accounting topics. The book ends with a call for increased links of other areas of accounting research to valuation theory.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

The purpose of this book is to offer a more systematic and structured treatment of the research on accounting‐based valuation, with a primary focus on recent theoretical developments and the resulting empirical analyses that recognize the role of accounting information in making managerial decisions.

Since its inception, valuation research in accounting has evolved primarily along an “empirically driven” path. In the absence of models constructed specifically to explain this topic, researchers have relied on economic intuition and theories from other disciplines (mainly finance and economics) as a basis for designing empirical analyses and interpreting findings. Although this literature has shed important light on the usefulness of accounting information in capital markets, it is obvious that the lack of a rigorous theoretical framework has hindered the establishment of a systematic and well‐structured literature and made it difficult to probe valuation issues in depth.

More recently, however, progress has been made on the theoretical front. The two most prominent frameworks are (i) the “linear information dynamic approach” and (ii) the “real options‐based approach” which recognizes managerial uses of accounting information in the pursuit of value generation. This volume devotes its initial chapters to an evaluation of the models using the linear dynamic approach, and then provides a synthesis of the theoretical studies that adopt the real options approach and the empirical works which draw on them. The book also makes an attempt to revisit and critique existing empirical research (value-relevance and earnings-response studies) within the real options-based framework. It is hoped that the book can heighten interest in integrating theoretical and empirical research in this field, and play a role in helping this literature develop into a more structured and cohesive body of work.

Value is of ultimate concern to economic decision-makers, and valuation theory should serve as a platform for studying other accounting topics. The book ends with a call for increased links of other areas of accounting research to valuation theory.

More books from Springer New York

Cover of the book The Ideal Result by Guochang Zhang
Cover of the book Contesting Ethnoarchaeologies by Guochang Zhang
Cover of the book Everyday Memory and Aging by Guochang Zhang
Cover of the book Web-Scale Data Management for the Cloud by Guochang Zhang
Cover of the book Offending from Childhood to Late Middle Age by Guochang Zhang
Cover of the book Interventional and Endovascular Therapy of the Nervous System by Guochang Zhang
Cover of the book Cognitive Pearls in General Surgery by Guochang Zhang
Cover of the book The Sclera by Guochang Zhang
Cover of the book Global Supply Chain Security by Guochang Zhang
Cover of the book Recovery of Gray Wolves in the Great Lakes Region of the United States by Guochang Zhang
Cover of the book Statistical Analysis of Network Data with R by Guochang Zhang
Cover of the book The Archaeology of Watercraft Abandonment by Guochang Zhang
Cover of the book Lee de Forest by Guochang Zhang
Cover of the book Addressing Unhealthy Alcohol Use in Primary Care by Guochang Zhang
Cover of the book Principles of Anticancer Drug Development by Guochang Zhang
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy