Articlegreen2012

Mandatory IFRS Adoption and Institutional Investment Decisions

303 citations0/0 files storedThe Accounting Review

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Auditing, Earnings Management, Governance Financial Markets and Investment Strategies Accounting Theory and Financial Reporting

Abstract

ABSTRACT We examine whether the mandatory introduction of International Financial Reporting Standards leads to an increase in institutional investor demand for equities. Using a large ownership database covering all types of institutional investors from around the world, we find that institutional holdings increase for mandatory IFRS adopters. Changes in holdings are concentrated around first-time annual reporting events. Second, we document that the positive IFRS effects on institutional holdings are concentrated among investors whose orientation and styles suggest they are most likely to benefit from higher quality financial statements, including active, value, and growth investors. These results are consistent with holdings changes being associated with the financial reporting regime change. Finally, we show that increased institutional holdings are concentrated in countries in which enforcement and reporting incentives are strongest, and where the differences between local GAAP and IFRS are relatively high. Overall, our study helps shed new light on the channels by which IFRS information becomes impounded in market outcomes. JEL Classifications: G11; K22; M41; M42. Data Availability: The data used in this study are available from the commercial sources identified in the paper.

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References

2008Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches 2002Illiquidity and stock returns: cross-section and time-series effects 1987A Simple Model of Capital Market Equilibrium with Incomplete Information 2003Earnings management and investor protection: an international comparison 2004Information and the Cost of Capital 2008International Accounting Standards and Accounting Quality 2007Accounting Information, Disclosure, and the Cost of Capital 2006Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches

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