The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS
Transactions ID Number: 29-421
Full Name: Chia-Jui Lai
Position: Assistant Professor
Age: ON
Sex: Male
Address: #1 Shuren St., Sincheng Township, Hualien, Taiwan
Country: TAIWAN
Tel: +886-3-8210880
Tel prefix: +886-935198636
Fax: +886-3-8347242
E-mail address: lai@ms01.dahan.edu.tw
Other E-mails: teco.lai@msa.hinet.net
Title of the Paper: Grey Group Model Forecasting of Quarterly Accounting Earnings
Authors as they appear in the Paper: Zheng-Lin Chen, Chan-Chien Chiu, Chia-Jui Lai
Email addresses of all the authors: chzhlin318@163.com, joey@ms01.dahan.edu.tw, lai@ms01.dahan.edu.tw
Number of paper pages: 10
Abstract: Forecasting quarterly accounting earnings is an important task in prospective analysis and seasonality is an important phenomenon in those data¡¦s behavior. In this paper, we investigate the efficiency of applying grey group model to forecast the earning per share. Unlike traditional statistical model such as Foster Model, grey group model inheres not only easy to calculate but also few observations needed than statistics methods when model building. Furthermore, the model liberates the users from the sample data assumptions from statistics analysis such as identically independent distribution. A data sample with fifty firms trading on Taiwan Stock Exchange is employed here and the forecasting performances are compared with those obtained by Foster Model. The results demonstrate that the grey group model is a competitive and competent one in prospective analysis.
Keywords: Quarterly Accounting Earnings, Forecasting, Grey Group Model
EXTENSION of the file: .pdf
Special (Invited) Session: Quarterly Accounting Earnings Forecasting: A Grey Group Model
Organizer of the Session: 613-255
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