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Information Journal Paper

Title

THE TIME SERIES OF ACCOUNTING EARNINGS IN INDUSTRIES LEVEL

Pages

  137-150

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Abstract

 This study is designed to investigate the ability of earnings prediction in industries level. The time series of past earnings and relation with future earnings have been examined. The sample for the study was selected from listed companies in Tehran Stock Exchange whose data was available during the Iranian calendar 1368-1379. The information gathered from ten industries include food, wood & paper, chemical & medical, plastic, mineral, metallic, equipment, furniture, electrical plant and vehicles. The results indicated for earning prediction, two lags autoregressive moving average models preferred when compared with f6lIr lags ARMA models. Random walk model for earnings prediction in food, plastic, mineral and vehicles preferred of two lags ARMA models. Earnings production process is similar only for vehicles, electrical plant and medical companies.

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References

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APA: Copy

KORDESTANI, GH.R.. (2003). THE TIME SERIES OF ACCOUNTING EARNINGS IN INDUSTRIES LEVEL. JOURNAL OF SOCIAL SCIENCES AND HUMANITIES OF SHIRAZ UNIVERSITY, 19(2 (38)), 137-150. SID. https://sid.ir/paper/13409/en

Vancouver: Copy

KORDESTANI GH.R.. THE TIME SERIES OF ACCOUNTING EARNINGS IN INDUSTRIES LEVEL. JOURNAL OF SOCIAL SCIENCES AND HUMANITIES OF SHIRAZ UNIVERSITY[Internet]. 2003;19(2 (38)):137-150. Available from: https://sid.ir/paper/13409/en

IEEE: Copy

GH.R. KORDESTANI, “THE TIME SERIES OF ACCOUNTING EARNINGS IN INDUSTRIES LEVEL,” JOURNAL OF SOCIAL SCIENCES AND HUMANITIES OF SHIRAZ UNIVERSITY, vol. 19, no. 2 (38), pp. 137–150, 2003, [Online]. Available: https://sid.ir/paper/13409/en

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