KnE Social Sciences

ISSN: 2518-668X

The latest conference proceedings on humanities, arts and social sciences.

Determinant of Financial Distress in Conventional Rural Banks in Central Java: Before and during Covid-19 Period

Published date: Aug 15 2024

Journal Title: KnE Social Sciences

Issue title: 6th Social and Humaniora Research Symposium (6th SoRes): Ethical Governance

Pages: 522–531

DOI: 10.18502/kss.v9i24.16867

Authors:

Andi Kushermantoandiunikal@gmail.comUniversitas Pekalongan, Pekalongan

Titi RahayuUniversitas Pekalongan, Pekalongan

Helen KurnianingsihUniversitas Pekalongan, Pekalongan

Akhmad Samsul UlumUniversitas Pekalongan, Pekalongan

M. Maulidin FachrurUniversitas Pekalongan, Pekalongan

Inayah Risqi AlisaUniversitas Pekalongan, Pekalongan

Abstract:

Financial distress refers to a state in which a company is unable to generate sufficient income and has difficulty paying its debt, and this effect can threaten the company’s financial condition towards bankruptcy. This study aims to examine the influence of loan-to-deposit ratio, nonperforming loans, and return on assets on financial distress. Additionally, it conducts multigroup testing of these variables in the Covid-19 pandemic period. The population of this study is conventional rural banks in Central Java for the 2019–2020 period. The sample, consisting of 84 observations, was obtained using the purposive sampling method. The data analysis technique employed in this study is Partial Least Squares-Structural Equation Modeling (PLS-SEM), utilizing WarpPLS version 8.0 software. This study shows that loan-to-deposit ratio and nonperforming loans have a positive effect on financial distress, while return on assets has a negative effect on financial distress. Furthermore, the additional analysis shows that there are significant differences between the loan-to-deposit ratio and nonperforming loans on financial distress in the pre-Covid-19 period and during the Covid-19 period. However, there is no significant difference in the effect of return on assets on financial distress in these Covid-19 periods.

Keywords: covid-19, financial distress, loan to deposit ratio, nonperforming loans, return on asset

References:

[1] Haris A, Ghozali I, Najmudin N. Indicators of financial distress condition in Indonesian banking industry. Accounting. 2022;8(1):27–36.

[2] Indrawati SM. Merekam Pandemi Covid-19 dan Memahami Kerja Keras Pengawal APBN. Jakarta; 2021.

[3] Rastogi S, Kanoujiya J. Corporate disclosures and financial distress in banks in India: the moderating role of competition. Asian Rev Account. 2022;30(5):691–712.

[4] Otoritas Jasa Keuangan, “Peraturan OJK Nomor 34 Tahun 2020,” 2020.

[5] R. Anggreani, “Astaga! Ada 103 Bank Bangkrut sejak 2006 hingga 2020,” Lembaga Penjamin Simpanan.

[6] Africa LA. Financial distress for bankruptcy early warning by the risk analysis on gopublic banks in Indonesia. Journal of Economics, Business & Accountancy Ventura. 2016;19(2):259–70.

[7] Kuncoro S, Agustina L. Factors to Predict the Financial Distress Condition of the Banking Listed in The Indonesia Stock Exchange. Accounting Analysis Journal. 2017;6(1):39–47.

[8] Indrajati V, Yuvita Y, Putri NA, Rismawati FO, Puspitasari DM. Determinants of financial fistress rural Bank in Indonesia: A logit approach. Solid State Technol. 2020;63(3):5069–75.

[9] Buchdadi AD, Nguyen XT, Putra FR, Dalimunthe S. The effect of credit risk and capital adequacy on financial distress in rural banks. Accounting. 2020;6(6):967–74.

[10] T. W. Kosasih, N. H. Pramono, and F. Azmi, “Analisis Faktor Internal Dan Eksternal Yang Mempengaruhi Financial Distress Bank Pengkreditan Rakyat (Bpr) Di Indonesia Pada Masa Pandemi Covid 19,” Jurnal Akuntansi Dan Pajak, vol. 23, no. 01, 2022.

[11] Ben Abdesslem R, Chkir I, Dabbou H. Is managerial ability a moderator? The effect of credit risk and liquidity risk on the likelihood of bank default. Int Rev Financ Anal. 2022;80:102044.

[12] W. Pryangan and Payamta, “Pengaruh Rasio CAMEL Terhadap Potensi Financial Distress,” Jurnal ASET (Akuntansi Riset), vol. 12, no. 2, pp. 332–345, 2020.

[13] Gupta J, Kashiramka S. Financial stability of banks in India: does liquidity creation matter? Pac Basin Finance J. 2020;64:101439.

[14] Mulyati B, Mahmud TA. ANALISIS RASIO KEUANGAN UNTUK MENGUKUR PREDIKSI FINANCIAL DISTRESS (Studi Kasus pada Salah Satu BUMD di Provinsi Banten). Jurnal Ilmiah Akuntansi Universitas Pamulang. 2020;8(2):111.

[15] Rahmayanti S, Hadromi U. “Analisis Financial Distress Pada Perusahaan Manufaktur Yang Terdaftar di Bursa Efek Indonesia Analysis of Financial Distress In Companies Manufacture Listed Indonesia Stock Exchange,” Jurnal Akuntansi dan. Ekonomika (Nis). 2017;7(1):53–63.

[16] Kusmayadi D. Penilaian Kesehatan Bank Perkreditan Rakyat Dengan Faktor Camel. Jurnal Akuntansi. 2017;12(1):1–19.

[17] Winarti L. Pengaruh Rasio Camel Terhadap Kondisi Financial Distress Pada Perbankan Syariah. 2010;12(36):332–45.

[18] Hermuningsih S, Sari PP, Rahmawati AD. the Influence of Third-Party Funds, Non- Performing Loans (Npl) on Credit Distribution With Profitability As Intervening Variable in Commercial Banks [IJEBAR]. International Journal of Economics, Business and Accounting Research. 2020;4(02):40–50.

[19] Ledhem MA, Mekidiche M. Economic growth and financial performance of Islamic banks: a CAMELS approach. Islam Econ Stud. 2020;28(1):47–62.

[20] Tong Y, Serrasqueiro Z. Predictions of failure and financial distress: A study on portuguese high and medium-high technology small and midsized enterprises. J Int Stud. 2021;14(2):9–25.

[21] Liu B, Ju T, Bai M, Yu CF. Imitative innovation and financial distress risk: the moderating role of executive foreign experience. Int Rev Econ Finance. 2021;71:526– 48.

[22] Farooq M, Noor A, Qureshi SF. The impact of corporate social responsibility on financial distress: empirical evidence. Soc Responsib J. 2022;18(5):1050–67.

[23] Kock N. Advanced Mediating Effects Tests, Multi-Group Analyses, and Measurement Model Assessments in PLS-Based SEM. Int J e-Collaboration. 2014;10(1):1–13.

[24] Brania K, Gurgul H. Contagion effects on capital and forex markets around GFC and covid-19 crises. A comparative study. Operations Research and Decisions. 2021;31(2):59–92.

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