Managers’ Self-Serving Attribution Bias and Corporate Financial Policies

37 Pages Posted: 12 Jul 2010  

Feng Li

Shanghai Advanced Institute of Finance, Shanghai Jiaotong University

Date Written: July 12, 2010

Abstract

The self-serving attribution bias ("SAB") refers to individuals taking responsibility for good outcomes and blaming others for bad outcomes. Consistent with the existence of managerial SAB, I find that managers tend to use more first-person pronouns (relative to second- and third-person pronouns) in the Management Discussions and Analysis Section of the 10-K filings when firm performance is better. A consequence of SAB is overconfidence (i.e., overestimating the mean and underestimating the variance of future cash flows). Consistent with this argument, managers with more SAB are more likely to issue forward-looking statements and make earnings forecasts, the tone (e.g., positive versus negative) of their forward-looking discussions has smaller variation, and their earnings forecasts tend to be overly optimistic. Firms whose managers have more SAB have higher investment-cash flow sensitivity and experience more negative market reactions around acquisition announcements. These firms also tend to have higher leverage, rely more on long-term debt financing, are more likely to repurchase stocks, and are less likely to issue dividends. Collectively, the evidence suggests that managers have self-serving attribution bias and this bias has implications for corporate policies.

Keywords: Self-Serving Attribution Bias, MD&A, Textual Analysis, Investing and Financing Policies

JEL Classification: G31, G32

Suggested Citation

Li, Feng, Managers’ Self-Serving Attribution Bias and Corporate Financial Policies (July 12, 2010). Available at SSRN: https://ssrn.com/abstract=1639005 or http://dx.doi.org/10.2139/ssrn.1639005

Feng Li (Contact Author)

Shanghai Advanced Institute of Finance, Shanghai Jiaotong University ( email )

211 West Huaihai Road
Shanghai, Shanghai 200030
China

Paper statistics

Downloads
656
Rank
31,018
Abstract Views
2,826