Financial Distress with Firm Size as a Moderating Variable in the Construction Sub Sector on the Indonesian Stock Exchange
1Mahesha Aginio Bimantio, 2Dhani Ichsanuddin Nur
1,2Management Study Program, Faculty of Economics and Business, National Development University Veteran of East Java, Indonesia
https://doi.org/10.47191/jefms/v6-i11-49ABSTRACT:
Financial distress is a stage where the company's financial condition has decreased significantly. The occurrence of financial distress starts from a decrease in the company's financial condition starting from the company's inability to meet short- term obligations, including liquidity obligations and obligations in the leverage category before bankruptcy. Financial distress can be calculated with various calculation models, one of which is the Zmijewski model. The purpose of this study is to give empirical data on the effect of profitability, liquidity, and leverage on financial distress with firm size as a moderating variable in construction sector companies on the Indonesian stock exchange for the 2019-2022 period. The sample obtained was 14 companies with a total of 56 company financial report data. The sampling technique used purposive sampling technique. The analysis method in this study uses moderation regression analysis using the SPSS tool. The study's conclusions state that the profitability ratio does not contribute to financial distress, liquidity can contribute to financial distress, leverage can contribute to financial distress, firm size moderates the leverage relationship to financial distress, firm size does not moderate the profitability relationship to financial distress, firm size is unable to moderate the liquidity relationship to financial distress.
KEYWORDS:
Current ratio, Debt to assets ratio, financial distress, Firm size, Return on Assets, Zmijewski.
REFERENCES:
1) Aprilia Ariqoh, Z., & Yuniningsih, Y. (2022). Altman Z-Score Method Application to Predict Financial Distress on Property and Real Estate Sector Listed in Indonesia Stock Exchange. Journal of Economics, Finance and Management Studies, 05(11), 3138–3145. https://doi.org/10.47191/jefms/v5-i11-02
2) Arohmawati, P. P., & Pertiwi, T. K. (2021). Predicting of Financial Distress With the Altman Z-Score Model of Retail Companies Listed on Idx. Jurnal Ekonomi Balance, 17(2), 273–280. https://doi.org/10.26618/jeb.v17i2.6273
3) Brigham, E. F.; Daves, P. R. (2018), Intermediate Financial Management, Edisi 13, USA: Cengage Learning.
4) Brigham dan Houston, (2019), Dasar-Dasar Manajemen Keuangan, Buku Dua Edisi Empat Belas, Salemba Empat, Jakarta
5) Efendi, A. M., Yuniningsih, Y., & Wikartika, I. (2022). Analisis Pertumbuhan Laba dengan Ukuran Perusahaan Sebagai Variabel Moderasi pada Perusahaan Pertambangan yang Terdaftar Di Bursa Efek Indonesia. Jurnal Ilmiah Universitas Batanghari Jambi, 22(3), 1549-1555.
6) Fahmi, Irham. (2020). Pengantar Manajemen Keuangan. Bandung: ALFABETA.
7) Fitri, C. G., & Wikartika, I. (2022). Analisis Rasio Keuangan dan Price to Book Value terhadap Harga Saham Dengan Earning Per Share Sebagai Variabel Moderasi pada Perusahaan Food and Beverage yang Terdaftar di Bursa Efek Indonesia. Jurnal Ilmiah Universitas Batanghari Jambi, 22(3), 1845-1848.
8) Kariani, N. P. E. K., & Budiasih, I. G. A. N. (2017). Firm size sebagai pemoderasi pengaruh likuiditas, leverage, dan operating capacity pada financial distress. E-Jurnal Akuntansi, 20(3), 2187–2216
9) Kushidayati, Aisyah Nuraini. Nur, D. I. (2021). PREDIKSI FINANCIAL DISTRESS PADA PERUSAHAAN TRANSPORTASI YANG TERDAFTAR DI BURSA EFEK INDONESIA Aisyah. Jurnal Ilmu Manajemen Vol. 10, Nomor 1, Juni 2021, 78(4), 57–64. https://doi.org/10.21856/j-pep.2021.4.08
10) Kusumaningtyas, d. (2017). Analisis prediksi kebangkrutan dengan menggunakan model zmijewski, springate dan fulmer pada perusahaan ritel di bursa efek indonesia. stie perbanas surabaya
11) Pramesti, A. W., & Yuniningsih, Y. (2023). Comparative Analysis of The Accuracy Level of The Zmijewski, Springate and Grover Models to Predict Financial Distress. American Journal of Humanities and Social Sciences Research (AJHSSR), 7(6), 164–172.
12) Rachmawati, L., & Nur, D. I. (2021). Analisis Rasio Keuangan Untuk Memprediksi Kondisi Financial Distress di Sektor Basic Industry and Chemical Pada Tahun 2016-2019 di Bursa Efek Indonesia. Jurnal E-Bis (Ekonomi-Bisnis), 5(2), 478–488.
13) Putri, P. (2021). The Effect of Operating Cash Flows, Sales Growth, and Operating Capacity in Predicting Financial distress. International Journal of Innovative Science and Research Technology, 6(1), 638–646.
14) Putu, N., Kartika, E., & Budiasih, I. G. A. N. (2017). Firm size Sebagai Pemoderasi Pengaruh Likuiditas, Leverage, Dan Operating Capacity Pada Financial distress. E-Jurnal Akuntansi, 20(3), 2187–2216.
15) Rachmawati, L., & Nur, D. I. (2021). Analisis Rasio Keuangan Untuk Memprediksi Kondisi Financial distress di Sektor Basic Industry and Chemical Pada Tahun 2016-2019 di Bursa Efek Indonesia. Jurnal E-Bis (Ekonomi-Bisnis), 5(2), 478–488.
16) Surdayanti, D., & Dinar, A. (2019). Analisis Prediksi Kondisi Kesulitan Keuangan Dengan Menggunakan Rasio Likuiditas, Profitabilitas, FInancial Leverage, dan Arus Kas. Jurnal Ilmiah Bisnis dan Ekonomi Bisnis Vol. 13 No. 2 ISSN
17) Susanti, W., & Takarini, N. (2022). Pengaruh Likuiditas, Profitabilitas, Leverage, dan Aktivitas dalam Memprediksi Financial Distress pada Perusahaan Sub Sektor Retail Trade yang Terdaftar di BEI. Ekonomis: Journal of Economics and Business, 6(2),488. https://doi.org/10.33087/ekonomis.v6i2.591
18) Syuhada, P., Muda, I., & Rujiman, F. N. U. (2020). Pengaruh Kinerja Keuangan dan Ukuran Perusahaan Terhadap Financial distress Pada Perusahaan Property dan Real Estate di Bursa Efek Indonesia. Jurnal Riset Akuntansi Dan Keuangan, 8(2), 319– 336.
19) Tania, M., & Wijaya, H. (2021). Faktor-Faktor Yang Mempengaruhi Financial distress Dengan Firm size Sebagai Variabel Moderasi. Jurnal Paradigma Akuntansi, 3(4), 1517–1526.
