Is Openness Penalized? Stock Returns around Earnings Warnings

The Accounting Review ◽

10.2308/accr.2007.82.4.1055 ◽

2007 ◽

Vol 82 (4) ◽

pp. 1055-1087 ◽

Cited By ~ 62

Author(s):

Jennifer W. Tucker

Keyword(s):

Stock Returns ◽

Selection Bias ◽

Selection Model ◽

Bad News ◽

Short Term ◽

Heckman Selection Model ◽

Earnings Announcement ◽

Self Selection ◽

Earnings Warnings ◽

Heckman Selection

Prior research finds that firms warning investors of an earnings shortfall experience lower returns than non-warning firms with similar risks and earnings news. Openness thus appears to be penalized by investors. Yet, this finding may be due to a self-selection bias that occurs when firms with a larger amount of unfavorable non-earnings news (“other bad news”) are more likely to warn. In this paper I use a Heckman selection model to infer the amount of other bad news and document that, on average, warning firms have a larger amount of other bad news than non-warning firms. After controlling for this effect, I find that warning firms' returns remain lower than those of non-warning firms in a short-term window ending five days after earnings announcement. When this window is extended by three months, however, warning and non-warning firms exhibit similar returns. My evidence suggests that openness is ultimately not penalized by investors.

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Freedom Indices and Capital Asset Pricing Model: Some Malaysian Evidence

International Journal of Management, Finance and Accounting ◽

10.33093/ijomfa.2020.1.1.1 ◽

2020 ◽

Vol 1 (1) ◽

pp. 1-21

Author(s):

Ying Tay Lee ◽

Devinaga Rasiah ◽

Ming Ming Lai

Keyword(s):

Human Rights ◽

Asset Pricing ◽

Stock Returns ◽

Firm Size ◽

Explanatory Power ◽

Least Square ◽

Press Freedom ◽

Capital Asset Pricing ◽

Capital Asset ◽

Cross Sectional

Human rights and fundamental freedoms such as economic, political, and press freedoms vary widely from country to country. It creates opportunity and risk in investment decisions. Thus, this study is carried out to examine if the explanatory power of the model for capital asset pricing could be improved when these human rights movement indices are included in the model. The sample for this study comprises of 495 stocks listed in Bursa Malaysia, covering the sampling period from 2003 to 2013. The model applied in this study employed the pooled ordinary least square regression estimation. In addition, the robustness of the model is tested by using firm size as a controlled variable. The findings show that market beta as well as the economic and press freedom indices could explain the cross-sectional stock returns of the Malaysian stock market. By controlling the firm size, it adds marginally to the explanation of the extended CAP model which incorporated economic, political, and press freedom indices.

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