Omri Even-Tob

Research Bio

Omri Even-Tov is an Associate Professor in the Accounting Group at the Haas School of Business, UC Berkeley. His research focuses on reporting and disclosure policies, capital markets, corporate debt, mergers and acquisitions, and credit rating agencies. His work examines the economic consequences of different disclosure policies in different settings. He has current research projects on the real effects of conflict mineral disclosures, the effect of disclosures of new public companies on retail investors, and the economic consequences of pension disclosures of municipalities.

Research Expertise and Interest

Accounting and Financial Disclosures, Economic Consequences of Regulatory Changes, Corporate Debt, capital markets, mergers and acquisitions, The Information Content of Credit Rating Changes

In the News

Featured in the Media

Please note: The views and opinions expressed in these articles are those of the authors and do not necessarily reflect the official policy or positions of UC Berkeley.
April 15, 2020

Let's Have Tim Cover Apple and Jeff Analyze Amazon

Wall Street Journal
Spencer Jakab
Wall Street analysts who share their first name with a company's CEO tend to make more accurate predictions about the company's earnings, a new study co-authored by assistant business professor Omri Even-Tov has found. According to this reporter, the study "shows that the effect seems to hold not only for any Tom, Dick or Harry but for any Sundar, Elon or Hubert. In fact, sharing a less common name makes the effect stronger. When there is a change in the occupant of the corner office then analysts' forecasts become less accurate." Professor Even-Tov theorizes that the phenomenon could be attributable to the warm disposition the CEOs may have toward their namesakes, inspiring them to offer more useful information.
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