Title of article :
Modelling the Block Trades Premium: Focusing on Refining and Petrochemical Companies
Author/Authors :
Kaviani, Mehran Finance and Investment in oil & - gas - Petroleum University of Technology - Tehran, Iran , Ghanbari, Ali Mohammad Department of Accounting - Petroleum University of Technology - Tehran, Iran , Peymany, Moslem Faculty Management and accounting - Allameh tabatabai - university
Abstract :
Business expansions being engaged in variety of industries in purpose of getting bigger market share, role of corporate governance within the financial decision. One of the important issues in corporate governance is block trading with purpose of control or invest in target firms. If the plan is to acquire majority of shares and decision making, block trade along with paying premium are of great importance. The purpose of this study is to determine factors affecting on premium of block trading of firms listed in Tehran Stock Exchange or Iran Fara Bourse. Due to the significant impact of companies in refining and petrochemical sectors on whole economy and capital market, this kind of firms should have been considered specially. Multivariate regression and ordinary least squares (OLS) method was used to study the model related to the influential factors on the paid premium of the block trading. Finding of the research shows that financial structure, features of block trading, profitability and efficiency are among factors affecting on premium and also the type of company does not effect on premium.
Keywords :
Iran FaraBourse , Tehran Stock Exchange , Financial Ratios , regression models
Journal title :
Journal of Mathematics and Modeling in Finance