Pengaruh Likuiditas, Leverage Dan Profitabilitas Terhadap Financial Distress Pada Sektor Industri Barang Konsumsi Yang Terdaftar Di Bei

Septiani, Tasya Andhita; Siswantini, Tri; Murtatik, Sri

doi:10.31846/jae.v9i1.335

Cited by 6 publications

(10 citation statements)

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“…Keterkaitan antara teori sinyal dan kesulitan ekonomi didasarkan pada informasi dalam laporan keuangan bisnis, sehingga dapat diamati kapasitas dan keadaan keuangan perusahaan, yang kemudian dapat digunakan untuk memutuskan apakah perusahaan mengalami skenario gejolak keuangan atau tidak. (Septiani et al, 2021).…”

Section: Landasan Teori Teori Sinyal (Signaling Theory)unclassified

“…Organisasi dengan laba tinggi memiliki kinerja yang solid; sebaliknya, bisnis yang menghasilkan laba rendah perlu mengevaluasi kembali kinerjanya dan mencari metode untuk mendongkrak harga saham. Tingkat profitabilitas akan menjadi tolok ukur bagaimana perusahaan dapat mempertahankan bisnisnya dengan menghasilkan keuntungan yang cukup jika dibandingkan dengan risikonya, sehingga semakin besar keuntungan yang mungkin dihasilkan, semakin kecil kemungkinan perusahaan mengalami kesulitan keuangan (Septiani et al, 2021).…”

Section: Profitabilitasunclassified

“…Profitabilitas dan kesulitan keuangan saling terkait dalam arti bahwa profitabilitas menunjukkan kemampuan perusahaan untuk menghasilkan keuntungan. Jika nilai profitabilitas rendah menunjukkan aset perusahaan kurang produktif dalam menghasilkan keuntungan, dan kondisi ini akan mengakibatkan kesulitan keuangan bagi perusahaan (Septiani et al, 2021).…”

Section: Profitabilitasunclassified

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Faktor-Faktor yang Mempengaruhi Terjadinya Financial Distress:

Ayem,

Cahyaning,

Sari

et al. 2023

reslaj

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Financial distress shows the condition of a company that is experiencing economic and financial difficulties that may cause bankruptcy. The purpose of this study is to determine and analyze the effect of leverage, liquidity, profitability, and company size on financial distress. This research was conducted using a systematic literature review method, or reviewing previous studies, to identify whether the effect of leverage, liquidity, profitability, and company size on financial distress. The data used is secondary data in the form of journey articles from the period of 2020–2022 obtained using Google Scholar. The results of this study indicate that leverage, liquidity, profitability, and company size have an effect on financial distress. The results of this study are expected to be used as a reference and source of information related to factors that can affect financial distress.. Keywords: Financial distress; leverage; liquidity; profitability; company size.

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Section: Landasan Teori Teori Sinyal (Signaling Theory)unclassified

Section: Profitabilitasunclassified

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Faktor-Faktor yang Mempengaruhi Terjadinya Financial Distress:

Ayem,

Cahyaning,

Sari

et al. 2023

reslaj

View full text Add to dashboard Cite

show abstract

“…According to Aisyah (2020), financial distress can start from the company's inability to pay off its dependents. Septiani et al (2021) define leverage as used to measure a company's ability to repay all items used to finance the company. The leverage ratio is a measure of how much debt a company has.…”

Section: Introductionmentioning

confidence: 99%

The Effect of Leverage, Acceptable Turnover and Inventory Turnover on Company Profitability

Kartika

Hertati

Munandar

2023

JHSSB

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This study aims to determine the effect of leverage, accounts receivable turnover and inventory turnover on profitability in food and beverage industry companies listed on the IDX for 2019-2021. This research is quantitative in nature. The sample used consisted of 18 companies from a population of 26 food and beverage companies listed on the Indonesian Stock Exchange in 2019-2021. This study makes use of Indonesia Stock Exchange as a secondary data. The method of data analysis employed is panel data regression. The results showed that Profitability is a predictable growth or reduction in annual earnings. Significant profit capability indicates the company's potential to generate high profits, resulting in a rise in dividend payout. Hence, the potential to generate profits will influence the decision of investors to raise their capital investment in the business.

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“…The authors are interested in undertaking an analysis of financial distress in the hospitality, culinary, and tourist industries in Indonesia based on the results of the foregoing explanation. Financial distress occurs when the company's activities are inadequate resulting in insufficient company obligations (insolvency) (Septiani, Siswantini, & Murtatik, 2021). The goal of financial distress prediction is to identify early warning indicators of impending financial disaster so that businesses can begin financial reconstruction at the appropriate moment.…”

Section: Introductionmentioning

confidence: 99%

Predicting Financial Distress Using DEA and Multivariate Discriminant for Tourism, Restaurant, and Hotel Sector in Indonesia

Amelia

2022

JICP

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Financial distress is a condition in which a company experiences decline and difficulty to fulfil its financial obligations. Financial distress prediction aims to identify early warning indicators of impending financial disaster so businesses can begin financial reconstruction at the appropriate moment. This study aims to compare the statistically significant difference results of various financial prediction models and the level of accuracy of each model in 25 companies engaged in the hotel, restaurant, and tourism sectors in 2018-2021. By using Kruskal-Wallis Test, Mann-Whitney Post Hoc Test, and accuracy test to compare each model. The results of this study are based on the Kruskal-Wallis test, all models used are statistically significant differences. Meanwhile, when paired using the Mann-Whitney Post-Hoc Test, it was found that the Springate and Grover models did not have a statistically significant difference. In addition, the results of the test accuracy show that the DEA accuracy rate of 79%, and the Springate model with the lowest accuracy of 33%. The results interpret that each model has its own indicator for predicting financial distress. It is recommended in examining the financial distress of hotel, restaurant, and tourism companies using DEA model since it results in the highest accuracy rate. Keywords: DEA, financial distress, multivariate discriminant analysis

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Pengaruh Likuiditas, Leverage Dan Profitabilitas Terhadap Financial Distress Pada Sektor Industri Barang Konsumsi Yang Terdaftar Di Bei

Cited by 6 publications

References 0 publications

Faktor-Faktor yang Mempengaruhi Terjadinya Financial Distress:

Faktor-Faktor yang Mempengaruhi Terjadinya Financial Distress:

The Effect of Leverage, Acceptable Turnover and Inventory Turnover on Company Profitability

Predicting Financial Distress Using DEA and Multivariate Discriminant for Tourism, Restaurant, and Hotel Sector in Indonesia

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