ISSN 2167-0439
International Journal of Management and Business Studies ISSN 2167-0439 Vol. 5 (2), pp. 168-179, February, 2015. © International Scholars Journals
Full Length Research Paper
An assessment of the link between company accounting variable with optimal return of portfolio in stock exchange market of Tehran
Hassani Bayat1, Parvin Aohreh2 and Neda Goli Rajavi2
1Department of Management and Accounting, Aliabad katoul Branch, Islamic Azad University, Aliabad katoul, Iran.
2Department of Accounting, Science and Research Branch, Islamic Azad University, Semnan, Iran.
*Corresponding author. E-mail: [email protected].
Accepted 09 October, 2014
Abstract
In this article, we deal with the effects of company accounting variable on optimal return of Portfolio in the stock exchange market of Tehran which contains industry stocks of selected petroleum products, car industry and manufacturing, electrical machineries and extracting of metallic minerals. First, creation and estimation of conditional covariance matrix of variable time is investigated based on dissimilar models of multivariate variance, then based on portfolio Markowitz theory, effects of accounting variables were investigated with the approach of minimizing the risk of portfolio and finally optimal weights of chosen four industries in the specified time were studied. Optimization results indicate that in all three mentioned models more weight in portfolio is proportioned to industries in which there is less fluctuation in the industry stocks return. Also, optimal weight during the time was reducing for industries which their efficiency had an increase and on the opposite in spite of decrease of fluctuations in efficiency and during the time optimization portion of portfolio has increased which originates from the changes made in accounting variables containing book value, return assets, assets turnover, operation cash flow share and earnings per share.
Key words: Accounting variables, Marcowitz portfolio theory, Generalized Autoregressive Conditional Heteroskedasticity (GARCH) multivariate models, covariance matrix of variable time.