LIQUIDITY OF TRADE IN SERBIA

Southeast European Review of Business and Economics Pub Date : 2023-06-01 DOI:10.20544/serbe.07.01.23.p05

R. Lukić

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Abstract

The issue of trade liquidity analysis is continuously current, significant and complex. Starting from that, this paper analyzes the liquidity of Serbian trade for the period 2013 - 2021 based on ratio analysis, regression analysis and the MARCOS method. The aim and purpose of this is to identify key factors in the function of improving the liquidity of Serbian trade by controlling them more effectively. In this particular case, the coefficient of determination is high at the level of statistical significance ( Adjusted R Square .995; Sig. F Change .004). According to the regression analysis, the influence of certain factors on trade liquidity in Serbia is different. Important factors in this particular case include the size of the company and efficiency. Their effective control can influence the achievement of the target liquidity of trade in Serbia. According to the results of the MARCOS method, the best liquidity of trade in Serbia was in 2021. The following are: 2019, 2018, 2020, 2017, 2016, 2013, 2015 and 2014. Effective management of working capital and sources of their financing can, among other things, influence the achievement of the target liquidity of trade in Serbia.

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塞尔维亚贸易的流动性

贸易流动性分析问题一直是一个重要而复杂的问题。从这一点出发，本文根据比率分析、回归分析和MARCOS方法分析了2013-2021年塞尔维亚贸易的流动性。这样做的目的和宗旨是通过更有效地控制塞尔维亚贸易的流动性来确定改善其功能的关键因素。在这种特殊情况下，决定系数在统计显著性水平上很高（调整后的 R Square 0.995；Sig. F Change 0.004）。根据回归分析，某些因素对塞尔维亚贸易流动性的影响是不同的。在这种特殊情况下，重要因素包括公司规模和效率。对它们的有效控制可以影响塞尔维亚贸易流动性目标的实现。根据 MARCOS 方法的结果，塞尔维亚贸易流动性最好的时期是 2021 年。其次是2019年、2018年、2020年、2017年、2016年、2013年、2015年和2014年。有效管理营运资本及其资金来源，除其他外，可影响塞尔维亚贸易流动性目标的实现。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Southeast European Review of Business and Economics

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