1 / 4

Valuation of China's Stock Market: An Analysis of Earnings Components

This study dissects China’s stock market earnings into Core and Non-core components, revealing investor mispricing tendencies. It uncovers profit opportunities from trading based on these components. Reference is made to a related study by Gongmeng Chen, Michael Firth, and Daniel NingGao. Additionally, suggestions for future research include exploring data specifications and the impact of information environment variables on study results.

gunnar
Download Presentation

Valuation of China's Stock Market: An Analysis of Earnings Components

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Discussion of “Valuation of China’s Stock Market: Mispricing of Earnings Components” Chuan-Yang Hwang

  2. Summary • Separate Earnings of China’s stock market into Core (CE) and Non-core (NCE) components. • CE is more persistent than NCE as expected. • Investors underreact to CE and overreact to CE. • A profitable trading strategy can be constructed by long stock with hihg CE and short stocks with low NCE– Chinese stock market is not efficient.

  3. Comments (1) • Gongmeng Chen, Michael Firth &Daniel NingGao (2011):The Information Content of Earnings Components: Evidence from Chinese Stock Markets, European Accounting Review • This paper show exactly the same results listed in the summary. • It has somewhat longer data 1995-2008 (1995-2005 in this paper). • It also examine the mispricing related to ownership (private firm vs. SOE).

  4. Comments (2) • In Table 5, • Would the results hold with the following specification? • The t values in pooled regression are overstated, should use cluster standard deviation to calculate t valued . • To differentiate from the publish paper, consider studying how your results depend on information environment (such as firm size, analyst coverage).

More Related