Volume : III, Issue : VI, June - 2013

Markov Process Model Forecasting of Quarterly Accounting Earnings Per Share

M. P. Rajakumar, Dr. V. Shanthi

Abstract :

Earnings per share (EPS) is one of the predominant factors that evaluate a company’s financial performance either in the short run or in the long run thereby indicating the prospects of a company for investors to make wise decisions. Needless to say, quarterly accounting earnings in prospective analysis tends to be an essential task and seasonality evident to be an important phenomenon in data behavior. The present study explores the capability of predicting the EPS by expounding on the related properties of Markov process model which is a useful complement for an existing technical analysis. A data sample of HCL infosystem trading on the Bombay stock exchange (BSE) is employed here and the forecasting performances are calculated. The results demonstrate that the Markov process model is competitive and a competent one in prospective analysis.  

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Article: Download PDF   DOI : 10.36106/ijar  

Cite This Article:

M. P. Rajakumar, Dr. V. Shanthi Markov Process Model Forecasting of Quarterly Accounting Earnings Per Share Indian Journal of Applied Research, Vol.III, Issue.VI June 2013

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