波兰的时装公司。新冠肺炎疫情对流动性评估的影响

IF 0.5 Q4 ECONOMICS
M. Piosik
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引用次数: 1

摘要

本文展示了2019冠状病毒病期间时尚界发生的变化。它概述了评估零售贸易公司流动性水平的复杂性。此外,它给出了时尚公司的财务报表中包含的关键信息的概述,并强调了关键的决定这些公司的流动性风险的关键点。本文还介绍了两个模型的结果;这些是使用Arellano-Bover / Blundell-Bond线性动态面板数据估计器估计的。结果显示了COVID-19在分析期间对波兰时尚和零售贸易公司流动性的实际影响(以现金持有量或现金比率衡量)。分析的数据涵盖2019年第一季度至2021年第三季度的11个季度,数据来自华沙证券交易所和NewConnect(波兰)上市的108家上市公司的季度财务报表。研究结果表明,时尚行业的流动性低于更广泛的零售贸易行业。但是,在新冠疫情期间,服装企业的现金比率高于零售企业。鉴于2019冠状病毒病危机导致的行业变化,本文以研究为基础,总结了评估时尚公司流动性的最重要方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fashion companies in Poland. The influence of COVID-19 on liquidity assessment
Abstract This article demonstrates the changes that have occurred in the fashion sector during COVID-19. It outlines the complexity of assessing the liquidity level of retail trade companies. Moreover, it gives an overview of the key information included in the financial statements of fashion companies and highlights key points crucial to determining the liquidity risk of these companies. The article also presents the results of two models; these were estimated using the Arellano–Bover / Blundell–Bond linear dynamic panel-data estimator. Results present the real impact of COVID-19 on the liquidity of Polish fashion and retail trade companies (measured by cash holdings or cash ratio) during the analysed period of time. The analysed data cover the 11 quarters from Q1 2019 to Q3 2021 and were obtained from the quarterly financial statements of the 108 public companies listed on the Warsaw Stock Exchange and NewConnect (Poland). The findings show that the fashion sector has lower liquidity than the broader retail trade sector. However, fashion companies during COVID-19 obtained higher cash ratios than retail trade companies. This article is a research-supported summary of the most important aspects of assessing the liquidity of fashion companies in light of the changes that have occurred in the industry due to the COVID-19 crisis.
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来源期刊
CiteScore
0.60
自引率
0.00%
发文量
9
期刊介绍: The Central European Journal of Economic Modelling and Econometrics (CEJEME) is a quarterly international journal. It aims to publish articles focusing on mathematical or statistical models in economic sciences. Papers covering the application of existing econometric techniques to a wide variety of problems in economics, in particular in macroeconomics and finance are welcome. Advanced empirical studies devoted to modelling and forecasting of Central and Eastern European economies are of particular interest. Any rigorous methods of statistical inference can be used and articles representing Bayesian econometrics are decidedly within the range of the Journal''s interests.
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