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:: year 9, Issue 33 (2017) ::
fa 2017, 9(33): 1-22 Back to browse issues page
The Explaining Working Capital Management Strategy by Markov chain Monte Carlo 
Mohammad Ebrahimi1 , Ghodrat alla Talebnia * 1, Hamid Reza Vakilifard1 , Hashem Nikoumaram1
1- Islamic Azad University, Tehran Branch
Abstract:   (3461 Views)

Abstract

Working capital management is one of the strategies to achieve the optimal liquidity for the company. This study tests the effect of accounting variables and characteristics of peer firms (companies in the same industry) on working capital management strategy. The statistic sample consists of listed companies in Tehran Stock Exchange during the years 2009 to 2015. In order to test hypothesis, hierarchical Bayes model, Gibbs sampling and Monte Carlo simulations - Markov chain is used. The results show that the sector (industry) type and peer firms' stock returns average have a significant relationship with working capital management.

Keywords: Working Capital Management, Monte Carlo Simulation, Gibbs Sampling, Hierarchical Bayesian, Peer Firms
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Type of Study: Research | Subject: Special
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Ebrahimi M, Talebnia G A, Vakilifard H R, Nikoumaram H. The Explaining Working Capital Management Strategy by Markov chain Monte Carlo . fa 2017; 9 (33) :1-22
URL: http://qfaj.mobarakeh.iau.ir/article-1-960-en.html


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year 9, Issue 33 (2017) Back to browse issues page
فصلنامه حسابداری مالی Quarterly Financial Accounting
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