Factors Influencing Non-Performing Financing (NPF) In Sharia Banking
Abstract
The risk of financing is the risk caused by the failure of the custom[1]ers to fulfill their obligations. Non-performing financing (NPF) is a representation of financing risk that is channeled and has a direct impact on bank profitability. The value of NPF tends to increase annually with a value that is already close to the maximum limit set by Bank Indonesia of 5 percent. This condition is able to lead to the inefficiency of the banking system and in the long run, will have an impact on the sustainability of the bank. Therefore, the analysis of NPF factors should be conducted as a preventive mea[1]sure and a risks controller of business activities. This research an[1]alyzes the factors influencing NPF at sharia banking (BUS) using a quarterly datafrom first quarter of 2012 until third quarter 2016. Method used in this research is panel data analysis. The result of analysis shows that the factors influencing NPF negatively and sig[1]nificantly are ratio of revenue sharing financing (RR), Return on ssets (ROA), inflation, Capital Adequacy Ratio (CAR) and Bank[1]size while Gross Domestic Product (GDP) and Operating Cost to Operating Income (BOPO) have a significant positive effect.
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References
Alayba, A. M., Palade, V., England, M., & Iqbal, R. (2018). Improving Sentiment Analysis in Arabic Using Word Representation. 2018 IEEE 2nd International Workshop on Arabic and Derived Script Analysis and Recognition (ASAR), pp. 13–18. https://doi.org/10.1109/ASAR.2018.8480191
Best, J. (2019). Anthropogenic stresses on the world’s big rivers. Nature Geoscience, 12(1), 7–21. https://doi.org/10.1038/s41561-018-0262-x
Chen, W., Yan, X., Zhao, Z., Hong, H., Bui, D. T., & Pradhan, B. (2019). Spatial prediction of landslide susceptibility using data mining-based kernel logistic regression, naive Bayes, and RBFNetwork models for the Long County area (China). Bulletin of Engineering Geology and the Environment, 78(1), 247–266. https://doi.org/10.1007/s10064-018-1256-z
Cheung, M. L., Pires, G. D., & III, P. J. R. (2019). Developing a conceptual model for examining social media marketing effects on brand awareness and brand image. International Journal of Economics and Business Research, 17(3), 243. https://doi.org/10.1504/IJEBR.2019.098874
Chia, P. Y., Coleman, K. K., Tan, Y. K., Ong, S. W. X., Gum, M., Lau, S. K., Lim, X. F., Lim, A. S., Sutjipto, S., Lee, P. H., Son, T. T., Young, B. E., Milton, D. K., Gray, G. C., Schuster, S., Barkham, T., De, P. P., Vasoo, S., Chan, M., … Moses, D. (2020). Detection of air and surface contamination by SARS-CoV-2 in hospital rooms of infected patients. Nature Communications, 11(1), 2800. https://doi.org/10.1038/s41467-020-16670-2
Destek, M. A., & Sinha, A. (2020). Renewable, non-renewable energy consumption, economic growth, trade openness, and ecological footprint: Evidence from an organization for economic Cooperation and developing countries. Journal of Cleaner Production, 242, 118537. https://doi.org/10.1016/j.jclepro.2019.118537
Gong, D., Liu, L., Le, V., Saha, B., Mansour, M. R., Venkatesh, S., & Van Den Hengel, A. (2019). We are memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection. 2019 IEEE/CVF International Conference on Computer Vision (ICCV), 1705–1714. https://doi.org/10.1109/ICCV.2019.00179
Gui, R., Jin, H., Bu, X., Fu, Y., Wang, Z., & Liu, Q. (2019). Recent advances in dual-emission ratiometric fluorescence probes for chemo/biosensing and bioimaging of biomarkers. Coordination Chemistry Reviews, 383, 82–103. https://doi.org/10.1016/j.ccr.2019.01.004
Hu, G., Ou, Q., Si, G., Wu, Y., Wu, J., Dai, Z., Krasnok, A., Mazor, Y., Zhang, Q., Bao, Q., Qiu, C.-W., & Alù, A. (2020). Topological polaritons and photonic magic angles in twisted ?-MoO3 bilayers. Nature, 582(7811), 209–213. https://doi.org/10.1038/s41586-020-2359-9
J, U., Metawa, N., Shankar, K., & Lakshmanaprabu, S. K. (2020). Financial crisis prediction model using ant colony optimization. International Journal of Information Management, 50, 538–556. https://doi.org/10.1016/j.ijinfomgt.2018.12.001
Li, Q., Cheng, Z., Zhou, L., Darmanis, S., Neff, N. F., Okamoto, J., Gulati, G., Bennett, M. L., Sun, L. O., Clarke, L. E., Marschallinger, J., Yu, G., Quake, S. R., Wyss-Coray, T., & Barres, B. A. (2019). Developmental Heterogeneity of Microglia and Brain Myeloid Cells Revealed by Deep Single-Cell RNA Sequencing. Neuron, 101(2), 207-223.e10. https://doi.org/10.1016/j.neuron.2018.12.006
Li, T., Chen, C., Brozena, A. H., Zhu, J. Y., Xu, L., Driemeier, C., Dai, J., Rojas, O. J., Isogai, A., Wågberg, L., & Hu, L. (2021). I am developing fibrillated cellulose as a sustainable technological material. Nature, 590(7844), 47–56. https://doi.org/10.1038/s41586-020-03167-7
Li, Z., Yi, Y., Luo, X., Xiong, N., Liu, Y., Li, S., Sun, R., Wang, Y., Hu, B., Chen, W., Zhang, Y., Wang, J., Huang, B., Lin, Y., Yang, J., Cai, W., Wang, X., Cheng, J., Chen, Z., … Ye, F. (2020). Development and clinical application of a rapid IgM?IgG combined antibody test for SARS?CoV?2 infection diagnosis. Journal of Medical Virology, 92(9), 1518–1524. https://doi.org/10.1002/jmv.25727
Liu, Y., Fan, B., Xiang, S., & Pan, C. (2019). Relation-Shape Convolutional Neural Network for Point Cloud Analysis. 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 8887–8896. https://doi.org/10.1109/CVPR.2019.00910
Magson, N. R., Freeman, J. Y. A., Rapee, R. M., Richardson, C. E., Oar, E. L., & Fardouly, J. (2021). Risk and Protective Factors for Prospective Changes in Adolescent Mental Health during the COVID-19 Pandemic. Journal of Youth and Adolescence, 50(1), 44–57. https://doi.org/10.1007/s10964-020-01332-9
Mangione, J., Parker, M., O’Sullivan, M., & Quayle, M. (2020). Mapping the landscape of physical education external provision in Irish primary schools. Irish Educational Studies, 39(4), 475–494. https://doi.org/10.1080/03323315.2020.1730218
Mao, R., Qiu, Y., He, J.-S., Tan, J.-Y., Li, X.-H., Liang, J., Shen, J., Zhu, L.-R., Chen, Y., Iacucci, M., Ng, S. C., Ghosh, S., & Chen, M.-H. (2020). Manifestations and prognosis of gastrointestinal and liver involvement in patients with COVID-19: A systematic review and meta-analysis. The Lancet Gastroenterology & Hepatology, 5(7), 667–678. https://doi.org/10.1016/S2468-1253(20)30126-6
Moore, S. J., Durst, P. T., Ritter, C., Nobrega, D., & Barkema, H. W. (2020). Effects of employer management on Employee Recruitment, satisfaction, engagement, and Retention on Large US dairy farms. Journal of Dairy Science, 103(9), 8482–8493. https://doi.org/10.3168/jds.2019-18025
Patel, H. (2019). Fixed-bed column adsorption study: A comprehensive review. Applied Water Science, 9(3), 45. https://doi.org/10.1007/s13201-019-0927-7
Safi, A., Chen, Y., Wahab, S., Ali, S., Yi, X., & Imran, M. (2021). Financial Instability and Consumption-based Carbon Emission in E-7 Countries: The Role of Trade and Economic Growth. Sustainable Production and Consumption, 27, 383–391. https://doi.org/10.1016/j.spc.2020.10.034
Schuld, M., Bocharov, A., Svore, K. M., & Wiebe, N. (2020). Circuit-centric quantum classifiers. Physical Review A, 101(3), 032308. https://doi.org/10.1103/PhysRevA.101.032308
Seymour, C. W., Kennedy, J. N., Wang, S., Chang, C.-C. H., Elliott, C. F., Xu, Z., Berry, S., Clermont, G., Cooper, G., Gomez, H., Huang, D. T., Kellum, J. A., Mi, Q., Opal, S. M., Talisa, V., Van Der Poll, T., Visweswaran, S., Vodovotz, Y., Weiss, J. C., … Angus, D. C. (2019). Derivation, Validation, and Potential Treatment Implications of Novel Clinical Phenotypes for Sepsis. JAMA, 321(20), 2003. https://doi.org/10.1001/jama.2019.5791
Su, C.-W., Qin, M., Tao, R., & Umar, M. (2020). Financial implications of the fourth industrial revolution: Can Bitcoin improve energy investment prospects? Technological Forecasting and Social Change, p. 158, 120178. https://doi.org/10.1016/j.techfore.2020.120178
Tshitoyan, V., Dagdelen, J., Weston, L., Dunn, A., Rong, Z., Kononova, O., Persson, K. A., Ceder, G., & Jain, A. (2019). Unsupervised word embeddings capture latent knowledge from materials science literature. Nature, 571(7763), 95–98. https://doi.org/10.1038/s41586-019-1335-8
van der Pluijm, R. W., Imwong, M., Chau, N. H., Hoa, N. T., Thuy-Nhien, N. T., Thanh, N. V., Jittamala, P., Hanboonkunupakarn, B., Chutasmit, K., Saelow, C., Runjarern, R., Kaewmok, W., Tripura, R., Peto, T. J., Yok, S., Suon, S., Sreng, S., Mao, S., Oun, S., … Dondorp, A. M. (2019). Determinants of dihydroartemisinin-piperaquine treatment failure in Plasmodium falciparum malaria in Cambodia, Thailand, and Vietnam: A prospective clinical, pharmacological, and genetic study. The Lancet Infectious Diseases, 19(9), 952–961. https://doi.org/10.1016/S1473-3099(19)30391-3
Wang, Q., Zhou, F., Shang, Z., Ciais, P., Winiwarter, W., Jackson, R. B., Tubiello, F. N., Janssens-Maenhout, G., Tian, H., Cui, X., Canadell, J. G., Piao, S., & Tao, S. (2020). Data-driven estimates of global nitrous oxide emissions from croplands. National Science Review, 7(2), 441–452. https://doi.org/10.1093/nsr/nwz087
Wu, Z., Su, L., & Huang, Q. (2019). It cascaded Partial Decoder for Fast and Accurate Salient Object Detection. 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 3902–3911. https://doi.org/10.1109/CVPR.2019.00403
Yang, B., Chen, Y., & Shi, J. (2019). Reactive Oxygen Species (ROS)-Based Nanomedicine. Chemical Reviews, 119(8), 4881–4985. https://doi.org/10.1021/acs.chemrev.8b00626
Yang, Z., Liu, S., Hu, H., Wang, L., & Lin, S. (2019). RepPoints: Point Set Representation for Object Detection. 2019 IEEE/CVF International Conference on Computer Vision (ICCV), 9656–9665. https://doi.org/10.1109/ICCV.2019.00975
Zou, H., Yang, X., Chen, B., Du, Y., Ren, B., Sun, X., Qiao, X., Zhang, Q., & Wang, F. (2019). Thermal Enhancement of Upconversion by Negative Lattice Expansion in Orthorhombic Yb 2 W 3 O 12. Angewandte Chemie International Edition, 58(48), 17255–17259. https://doi.org/10.1002/anie.201910277
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Copyright (c) 2023 Ali Hardana, Aliman Syahuri Zein, Anne Johanna, Buschhaus Avinash

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