DocumentCode
533221
Title
Notice of Retraction
On estimation of corporate expected returns and earnings at risk
Author
Changquan Huang
Author_Institution
Dept. of Planning & Stat., Xiamen Univ., Xiamen, China
Volume
11
fYear
2010
fDate
22-24 Oct. 2010
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
This paper researches into estimation of corporate expected returns and earnings at risk (EaR). We propose a three-step statistical methodology for the expected returns and EaR estimation and make a case study of PetroChina Company Limited (PetroChina). The estimating results show that this methodology is both efficient and effective even though the economic environment of 2008 is so dramatically changed. Therefore, it can be used as a powerful tool for measuring risk in enterprise risk management practice.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
This paper researches into estimation of corporate expected returns and earnings at risk (EaR). We propose a three-step statistical methodology for the expected returns and EaR estimation and make a case study of PetroChina Company Limited (PetroChina). The estimating results show that this methodology is both efficient and effective even though the economic environment of 2008 is so dramatically changed. Therefore, it can be used as a powerful tool for measuring risk in enterprise risk management practice.
Keywords
financial management; risk management; statistical analysis; PetroChina Company Limited; corporate expected returns; earnings at risk; economic environment; enterprise risk management; three-step statistical methodology; Biological system modeling; Data models; Ear; Exchange rates; Mathematical model; Petroleum; Risk management;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-7235-2
Type
conf
DOI
10.1109/ICCASM.2010.5623204
Filename
5623204
Link To Document