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Patterns in the Timing of Corporate Event Waves


Raghavendra Rau


University of Cambridge; UC Berkeley - Haas School of Business

Aris Stouraitis


Hong Kong Baptist University (HKBU) - Department of Finance and Decision Sciences

June 1, 2009


Abstract:     
Corporate events happen in waves. In this paper, we examine the timing patterns of five different types of corporate event waves (new stock and seasoned equity issues, stock and cash-financed acquisitions, and stock repurchases) using a comprehensive dataset of more than 151,000 corporate transactions over the 25-year period 1980-2004. We document a distinctive pattern, previously undocumented in the literature, in the way stock-related waves form. Corporate waves seem to start with new issue waves (SEO preceding IPO waves), followed by stock-financed merger waves, followed in turn by repurchase waves. Our results hold over separate decades and across industries. Our results seem consistent with both the neoclassical efficiency hypothesis and the misvaluation hypothesis, and there are distinct periods when one or the other appears dominant.

Number of Pages in PDF File: 46

Keywords: merger waves, new issue waves, corporate event cycles, over-reaction, Repurchase waves

JEL Classification: G14, G34, G35

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Date posted: March 8, 2007 ; Last revised: June 10, 2009

Suggested Citation

Rau, Raghavendra and Stouraitis, Aris, Patterns in the Timing of Corporate Event Waves (June 1, 2009). Available at SSRN: http://ssrn.com/abstract=946797 or http://dx.doi.org/10.2139/ssrn.946797

Contact Information

Raghavendra Rau (Contact Author)
University of Cambridge ( email )
Cambridge Judge Business School
Trumpington Street
Cambridge, Cambridgeshire CB21AG
United Kingdom
3103626793 (Phone)
HOME PAGE: http://www.jbs.cam.ac.uk/research/faculty/rau.html
UC Berkeley - Haas School of Business ( email )
Haas School of Business
545 Student Services Building
Berkeley, CA 94720
United States
3103626793 (Phone)
Aristotelis Stouraitis
Hong Kong Baptist University (HKBU) - Department of Finance and Decision Sciences ( email )
Hong Kong
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