Ni Made Sindy Warasniasih
Universitas Pendidikan Ganesha

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The Impact of COVID-19 Pandemic on the Financial Performance of Firms on the Indonesia Stock Exchange Sunitha Devi; Ni Made Sindy Warasniasih; Putu Riesty Masdiantini; Lucy Sri Musmini
Journal of Economics, Business, & Accountancy Ventura Vol 23, No 2 (2020): August - November 2020
Publisher : Universitas Hayam Wuruk Perbanas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14414/jebav.v23i2.2313

Abstract

The COVID-19 pandemic has harmed the national economy and caused a decline in various businesses' financial performance. This study aims to examine the impact of the COVID-19 pandemic on firms' financial performance listed on the Indonesia Stock Exchange. The research samples included 214 companies, which were divided proportionally into nine sectors or 49 sub-sectors. Data analysis used was the Wilcoxon Signed Rank Test. The results show an increase in the leverage ratio and short-term activity ratio but a decrease in the public companies' liquidity ratio and profitability ratio during the COVID-19 pandemic. There was no significant difference in the liquidity ratio and leverage ratio. However, the public companies' profitability ratio and short-term activity ratio differed significantly between before and during the COVID-19 pandemic. The sector that experienced an increase in liquidity ratio, profitability ratio, and short-term activity ratio but a decrease in the leverage ratio was the consumer goods sector. In contrast, the sectors experiencing a decrease in the liquidity and profitability ratios were property, real estate and building construction, finance, trade, services, and investment sectors.
Laporan Keuangan dan Prediksi Kebangkrutan Perusahaan Putu Riesty Masdiantini; Ni Made Sindy Warasniasih
Jurnal Ilmiah Akuntansi Vol 5 No 1: Juni 2020
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jia.v5i1.25119

Abstract

This study aims to determine differences in bankruptcy predictions at company’s sub-sector of cosmetics and household listed on the Indonesia Stock Exchange (IDX) using the Altman model, Springate model, Zmijewski model, Taffler model, and Fulmer model, and to determine the bankruptcy prediction model that is the most accurate of the five bankruptcy prediction models. This study uses secondary data in the form of company financial statements for the period 2014-2018. Data analysis techniques in this study used the Kruskal-Wallis test. The results showed there were differences in bankruptcy predictions using the Altman model, Springate model, Zmijewski model, Taffler model, and Fulmer model. The Zmijewski, Taffler, and Fulmer models have the same accuracy level of 100% so that the three prediction models are the most accurate prediction models for predicting the potential bankruptcy at companies sub-sector of cosmetics and household listed on the IDX.