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Information Journal Paper

Title

THE EXPLAINING WORKING CAPITAL MANAGEMENT STRATEGY BY MARKOV CHAIN MONTE CARLO

Pages

  1-22

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.

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    APA: Copy

    EBRAHIMI, MOHAMMAD, TALEBNIA, GHODRAT ALLAH, VAKILIFARD, HAMIDREZA, & NIKOUMARAM, HASHEM. (2017). THE EXPLAINING WORKING CAPITAL MANAGEMENT STRATEGY BY MARKOV CHAIN MONTE CARLO. FINANCIAL ACCOUNTING, 9(33), 1-22. SID. https://sid.ir/paper/168160/en

    Vancouver: Copy

    EBRAHIMI MOHAMMAD, TALEBNIA GHODRAT ALLAH, VAKILIFARD HAMIDREZA, NIKOUMARAM HASHEM. THE EXPLAINING WORKING CAPITAL MANAGEMENT STRATEGY BY MARKOV CHAIN MONTE CARLO. FINANCIAL ACCOUNTING[Internet]. 2017;9(33):1-22. Available from: https://sid.ir/paper/168160/en

    IEEE: Copy

    MOHAMMAD EBRAHIMI, GHODRAT ALLAH TALEBNIA, HAMIDREZA VAKILIFARD, and HASHEM NIKOUMARAM, “THE EXPLAINING WORKING CAPITAL MANAGEMENT STRATEGY BY MARKOV CHAIN MONTE CARLO,” FINANCIAL ACCOUNTING, vol. 9, no. 33, pp. 1–22, 2017, [Online]. Available: https://sid.ir/paper/168160/en

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