Arthur Andersen Professor of Accounting & Associate Professor of Accounting University of Michigan. Gwen Yu is an associate professor at the Ross School of Business, University of Michigan. Her research focuses on how accounting information affects various real economic outcomes, especially in an international setting. Professor Yu's work has been published in top peer reviewed journals such as The Accounting Review, Journal of Financial Economics, Journal of Accounting and Economics.
Additionally, it has been cited or discussed in The New York Times, The Financial Times, CBS Money Watch, and other outlets of the financial press. She is on the Editorial Board of The Accounting Review. At Ross School of Business, Yu teaches in the second year MBA program. She has previously taught in the MBA, Doctoral and Executive Education programs at Harvard Business School.
She has provided executive education to a wide range of firms and authored many cases which are used around the globe. Professor Yu holds a Ph.
Additionally, it has been cited or discussed in The New York Times, The Financial Times, CBS Money Watch, and other outlets of the financial press. She is on the Editorial Board of The Accounting Review. At Ross School of Business, Yu teaches in the second year MBA program. She has previously taught in the MBA, Doctoral and Executive Education programs at Harvard Business School.
She has provided executive education to a wide range of firms and authored many cases which are used around the globe. Professor Yu holds a Ph.
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Arthur Andersen Professor of Accounting & Associate Professor of Accounting University of Michigan.
Abstract: When emerging market firms disclose relationship-based transactions, they face a tradeoff in which greater transparency may help lower their cost of capital at the cost of revealing proprietary information.
We find that firms overcome this challenge by relying on analysts within their private networks (i.e., connected analysts) who, through repeated interaction with the firm, can better verify relationship-based transactions.
Abstract: When emerging market firms disclose relationship-based transactions, they face a tradeoff in which greater transparency may help lower their cost of capital at the cost of revealing proprietary information.
We find that firms overcome this challenge by relying on analysts within their private networks (i.e., connected analysts) who, through repeated interaction with the firm, can better verify relationship-based transactions.
Arthur Andersen Professor of Accounting & Associate Professor of Accounting University of Michigan.
Abstract: Social ties between mutual funds and the companies in which they invest (investees) can both facilitate information transfers and encourage favoritism.
Using the investment choices of mutual funds in China, we compare investment performance of holdings in companies that are socially connected to mutual funds versus those that are not.
We find that funds allocate more investment to connected investees' stocks, especially when a fund is weakly monitored.
Abstract: Social ties between mutual funds and the companies in which they invest (investees) can both facilitate information transfers and encourage favoritism.
Using the investment choices of mutual funds in China, we compare investment performance of holdings in companies that are socially connected to mutual funds versus those that are not.
We find that funds allocate more investment to connected investees' stocks, especially when a fund is weakly monitored.
Arthur Andersen Professor of Accounting & Associate Professor of Accounting University of Michigan.
This course provides a systematic framework for using financial statements in business analyses.
It considers a comprehensive set of tools to analyze the information contained in financial statements and demonstrates how to use the information to evaluate financial performance.
It addresses questions such as: (1) how do operating and financial decisions contribute to a firm's return, (2) why does firm performance differ between competitors, (3) has the firm distorted the accounting numbers and how will this influence reported performance, and (4) how does the financial performance today predict future events, such as credit default.
This course provides a systematic framework for using financial statements in business analyses.
It considers a comprehensive set of tools to analyze the information contained in financial statements and demonstrates how to use the information to evaluate financial performance.
It addresses questions such as: (1) how do operating and financial decisions contribute to a firm's return, (2) why does firm performance differ between competitors, (3) has the firm distorted the accounting numbers and how will this influence reported performance, and (4) how does the financial performance today predict future events, such as credit default.
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