- Afshan S., Leong K. Y., Najmi A., Razi U., Lelchumanan B., Cheong C. W.H. Fintech advancements for financial resilience: Analysing exchange rates and digital currencies during oil and financial risk // Resources Policy. 2024. Vol. 88. 104432. https://doi.org/10.1016/j.resourpol.
Paper not yet in RePEc: Add citation now
Afshan, S., Leong, K.Y., Najmi, A., Razi, U., Lelchumanan, B., Cheong, C.W.H. (2024). Fintech advancements for financial resilience: Analysing exchange rates and digital currencies during oil and financial risk. Resources Policy, Vol. 88, 104432. https://doi.org/10.1016/j.resourpol.
Allaj E., Sanfelici S. Early Warning Systems for identifying financial instability // International Journal of Forecasting. 2023. Vol. 39, Issue 4. Pp. 1777â1803. https://doi. org/10.1016/j.ijforecast.2022.08.004
- Allaj, E., Sanfelici, S. (2023). Early Warning Systems for identifying financial instability. International Journal of Forecasting, Vol. 39, Issue 4, 1777â1803. https://doi.org/10.1016/j.ijforecast.
Paper not yet in RePEc: Add citation now
- Altman E. L. Financial Rations, Discriminant Analys is and Prediction of Corporate Bankruptcy // Journal of Finance. 1968. Vol. 9, Issue 4. Pp. 589â609. https://doi.org/10.2307/2978933 Journal of Applied Economic Research, 2024, Vol. 23, No. 3, 776â800 ISSN 2712-7435 Wang Ying, Igor A. Mayburov, Yulia V. Leontyeva
Paper not yet in RePEc: Add citation now
Altman, E.L. (1968). Financial Rations, Discriminant Analys is and Prediction of Corporate Bankruptcy. Journal of Finance, Vol. 9, Issue 4, 589â609. https://doi.org/10.2307/2978933
Bouvatier V., Lepetit L., Rehault P.-N., Strobel F. Time-varying Z-score measures for bank insolvency risk: Best practice // Journal of Empirical Finance. 2023. Vol. 73. Pp. 170â179. https://doi.org/10.1016/j.jempfin.2023.06.002
Bouvatier, V., Lepetit, L., Rehault, P.-N., Strobel, F. (2023). Time-varying Z-score measures for bank insolvency risk: Best practice. Journal of Empirical Finance, Vol. 73, 170â179. https://doi.org/10.1016/j.jempfin.2023.06.002
- Cafferata A., Casellina S., Landini S., Uberti M. Financial fragility and credit risk: A simulation model // Communications in Nonlinear Science and Numerical Simulation. 2023. Vol. 116.
Paper not yet in RePEc: Add citation now
- Cafferata, A., Casellina, S., Landini, S., Uberti, M. (2023). Financial fragility and credit risk: A simulation model. Communications in Nonlinear Science and Numerical Simulation, Vol. 116, 106879. https://doi.org/10.1016/j.cnsns.2022.106879
Paper not yet in RePEc: Add citation now
Chen L., Zhang C. The impact of financial agglomeration on corporate financialization: The moderating role of financial risk in Chinese listed manufacturing enterprises // Finance Research Letters. 2023. Vol. 58. 104655. https://doi.org/10.1016/j.frl.2023.104655
- Chen, L., Zhang, C. (2023). The impact of financial agglomeration on corporate financialization: The moderating role of financial risk in Chinese listed manufacturing enterprises. Finance Research Letters, Vol. 58, 104655. https://doi.org/10.1016/j.frl.2023.104655
Paper not yet in RePEc: Add citation now
Chiaramonte L., Croci E., Poli F. Should we trust the Z-score? Evidence from the European Banking Industry // Global Finance Journal. 2015. Vol. 28. Pp. 111â131. https://doi.org/10.1016/j. gfj.2015.02.002
Chiaramonte L., Dreassi A., Pisera S., Khan A. Mergers and acquisitions in the financial industry: A bibliometric review and future research directions // Research in International Business and Finance. 2023. Vol. 64. 101837. https://doi.org/10.1016/j.ribaf.2022.101837
- Chiaramonte, L., Croci, E., Poli, F. (2015). Should we trust the Z-score? Evidence from the European Banking Industry. Global Finance Journal, Vol. 28, 111â131. https://doi.org/10.1016/j. gfj.2015.02.002
Paper not yet in RePEc: Add citation now
- Chiaramonte, L., Dreassi, A., Pisera, S., Khan, A. (2023). Mergers and acquisitions in the financial industry: A bibliometric review and future research directions. Research in International Business and Finance, Vol. 64, 101837. https://doi.org/10.1016/j.ribaf.2022.101837
Paper not yet in RePEc: Add citation now
Conte D., Bussoli C., Hemmings D. Responsible risk-taking and the CSP-financial performance relation in the banking sector: A mediation analysis // Research in International Business and Finance. 2024. Vol. 69. 102293. https://doi.org/10.1016/j.ribaf.2024.102293
- Conte, D., Bussoli, C., Hemmings, D. (2024). Responsible risk-taking and the CSP-financial performance relation in the banking sector: A mediation analysis. Research in International Business and Finance, Vol. 69, 102293. https://doi.org/10.1016/j.ribaf.2024.102293
Paper not yet in RePEc: Add citation now
- Elliott R. J., Siu T. K., Fung E. S. A Double HMM approach to Altman Z-scores and credit ratings // Expert Systems with Applications. 2014. Vol. 41, Issue 4, Part 2. Pp. 1553â1560. https://doi.org/10.1016/j.eswa.2013.08.052
Paper not yet in RePEc: Add citation now
- Elliott, R.J., Siu, T.K., Fung, E.S. (2014). A Double HMM approach to Altman Z-scores and credit ratings. Expert Systems with Applications, Vol. 41, Issue 4, Part 2, 1553â1560. https://doi. org/10.1016/j.eswa.2013.08.052 Journal of Applied Economic Research, 2024, Vol. 23, No. 3, 776â800 ISSN 2712-7435 Wang Ying, Igor A. Mayburov, Yulia V. Leontyeva
Paper not yet in RePEc: Add citation now
- GonzalezUrango H., Mu E., UjwaryGil A., FlorekPaszkowska A. Analytic network process in economics, finance and management: Contingency factors, current trends and further research // Expert Systems with Applications. 2024. Vol. 237. 121415. https://doi.org/10.1016/j.eswa.
Paper not yet in RePEc: Add citation now
- GonzalezUrango, H., Mu, E., UjwaryGil, A., FlorekPaszkowska, A. (2024). Analytic network process in economics, finance and management: Contingency factors, current trends and further research. Expert Systems with Applications, Vol. 237, 121415. https://doi.org/10.1016/j. eswa.2023.121415
Paper not yet in RePEc: Add citation now
- https://doi.org/10.1016/j.najef.2023.102018 Journal of Applied Economic Research, 2024, Vol. 23, No. 3, 776â800 ISSN 2712-7435 799 Assessing the Bankruptcy Risks of Chinaâs Emerging Port Industries: Modeling and Early Warning
Paper not yet in RePEc: Add citation now
- Jing A. The technology and digital financial risk management model using intelligent data processing // Optik. 2023. Vol. 273. 170410. https://doi.org/10.1016/j.ijleo.2022.170410
Paper not yet in RePEc: Add citation now
- Jing, A. (2023). The technology and digital financial risk management model using intelligent data processing. Optik, Vol. 273, 170410. https://doi.org/10.1016/j.ijleo.2022.170410
Paper not yet in RePEc: Add citation now
- Kandpal B., Backe S., del Granado P. S. Power purchase agreements for plus energy neighbourhoods: Financial risk mitigation through predictive modelling and bargaining theory // Applied Energy. 2024. Vol. 358. 122589. https://doi.org/10.1016/j.apenergy.2023.122589
Paper not yet in RePEc: Add citation now
Kandpal, B., Backe, S., del Granado, P.S. (2024). Power purchase agreements for plus energy neighbourhoods: Financial risk mitigation through predictive modelling and bargaining theory. Applied Energy, Vol. 358, 122589. https://doi.org/10.1016/j.apenergy.2023.122589
- Ko Y.-Ch., Hamido F., Tianrui Li. An evidential analysis of Altman Z-score for financial predictions: Case study on solar energy companies // Applied Soft Computing. 2017. Vol. 52. Pp. 748â759. https://doi.org/10.1016/j.asoc.2016.09.050
Paper not yet in RePEc: Add citation now
- Ko, Y.-Ch., Hamido, F., Tianrui, Li. (2017). An evidential analysis of Altman Z-score for financial predictions: Case study on solar energy companies. Applied Soft Computing, Vol. 52, 748â759. https://doi.org/10.1016/j.asoc.2016.09.050
Paper not yet in RePEc: Add citation now
- Koycungil A. S., Ozgulbas N. Financial early warning system model and data minging application for risk detection // Expert Systems with Applications. 2012. Vol. 39, Issue 6. Pp. 6238â
Paper not yet in RePEc: Add citation now
- Koycungil, A.S., Ozgulbas, N. (2012). Financial early warning system model and data minging application for risk detection. Expert Systems with Applications, Vol. 39, Issue 6, 6238â6253. https://doi.org/10.1016/j.eswa.2011.12.021
Paper not yet in RePEc: Add citation now
Lepetit L., Strobel F. Bank insolvency risk and Z-score measures: A refinement // Finance Research Letters. 2015. Vol. 13. Pp. 214â224. https://doi.org/10.1016/j.frl.2015.01.001
Lepetit, L., Strobel, F. (2015). Bank insolvency risk and Z-score measures: A refinement. Finance Research Letters, Vol. 13, 214â224. https://doi.org/10.1016/j.frl.2015.01.001
- Li H. Research on financial risk early warning system model based on second-order blockchain differential equation// Intelligent Decision Technologies. 2024. Vol. 18, No. 1. Pp. 327â342. https://doi.org/10.3233/IDTâ230318
Paper not yet in RePEc: Add citation now
- Li X., Tripe D., Malone C., Smith D. Measuring systemic risk contribution: The leave-oneout Z-score method // Finance Research Letters. 2020. Vol. 36. 101316. https://doi.org/10.1016/j. frl.2019.101316
Paper not yet in RePEc: Add citation now
- Li, H. (2024). Research on financial risk early warning system model based on secondorder blockchain differential equation. Intelligent Decision Technologies, Vol. 18, No. 1, 327â342. https://doi.org/10.3233/IDTâ230318
Paper not yet in RePEc: Add citation now
Li, X., Tripe, D., Malone, C., Smith, D. (2020). Measuring systemic risk contribution: The leave-one-out z-score method. Finance Research Letters, Vol. 36, 101316. https://doi.org/10.1016/j. frl.2019.101316
- Meziani A. S., Rezvani F. Using the analytical hierarchy process to select a financing instrument for a foreign investment // Mathematical and Computer Modelling. 1990. Vol. 13, Issue 7. Pp. 77â82. https://doi.org/10.1016/0895-7177(90)90130-F
Paper not yet in RePEc: Add citation now
- Meziani, A.S., Rezvani, F. (1990). Using the analytical hierarchy process to select a financing instrument for a foreign investment. Mathematical and Computer Modelling, Vol. 13, Issue 7, 77â82. https://doi.org/10.1016/0895-7177(90)90130-F
Paper not yet in RePEc: Add citation now
- Murugan S., Kala T. S. Large-scale data-driven financial risk management & analysis using machine learning strategies // Measurement: Sensors. 2023. Vol. 27. 100756. https://doi. org/10.1016/j.measen.2023.100756
Paper not yet in RePEc: Add citation now
- Murugan, S., Kala, T.S. (2023). Large-scale data-driven financial risk management & analysis using machine learning strategies. Measurement: Sensors, Vol. 27, 100756. https://doi. org/10.1016/j.measen.2023.100756
Paper not yet in RePEc: Add citation now
- Nguyen M.-T., Vu Q.-H., Truong H.-H., Nguyen H.-H. A comprehensive evaluation of private sector investment decisions for sustainable water supply systems using a fuzzyanalytic hierarchy process: A case study of Ha Nam province in Vietnam // Heliyon. 2023. Vol. 9, Issue 9. e19727. https://doi.org/10.1016/j.heliyon.2023.e19727
Paper not yet in RePEc: Add citation now
- Nguyen, M.-T., Vu, Q.-H., Truong, H.-H., Nguyen, H.-H. (2023). A comprehensive evaluation of private sector investment decisions for sustainable water supply systems using a fuzzyJournal of Applied Economic Research, 2024, Vol. 23, No. 3, 776â800 ISSN 2712-7435 795 Assessing the Bankruptcy Risks of Chinaâs Emerging Port Industries: Modeling and Early Warning analytic hierarchy process: A case study of Ha Nam province in Vietnam. Heliyon, Vol. 9, Issue 9, e19727. https://doi.org/10.1016/j.heliyon.2023.e19727
Paper not yet in RePEc: Add citation now
Ohlson J. A. Financial Ratios and the Probabilistic Prediction of Bankruptcy // Journal of Accounting Research. 1980. Vol. 18, No. 1. Pp. 109â131. http://dx.doi.org/10.2307/2490395
- Ohlson, J.A. (1980). Financial Ratios and the Probabilistic Prediction of Bankruptcy. Journal of Accounting Research, Vol. 18, No. 1, 109â131. http://dx.doi.org/10.2307/2490395
Paper not yet in RePEc: Add citation now
- Ouyang Z.-S., Yang X.-Y., Lai Y. Systemic financial risk early warning of financial market in China using AttentionLSTM model // The North American Journal of Economics and Finance. 2021. Vol. 56. 101383. https://doi.org/10.1016/j.najef.2021.101383
Paper not yet in RePEc: Add citation now
Ouyang, Z.-S., Yang, X.-Y., Lai, Y. (2021). Systemic financial risk early warning of financial market in China using AttentionLSTM model. The North American Journal of Economics and Finance, Vol. 56, 101383. https://doi.org/10.1016/j.najef.2021.101383
- Pendharkar, P.C. (2005). A thresholdvarying artificial neural network approach for classification and its application to bankruptcy prediction problem. Computers & Operations Research, Vol. 32, Issue 10, 2561â2582. https://doi.org/10.1016/j.cor.2004.06.023
Paper not yet in RePEc: Add citation now
- Prol J. L., Paul A. Profitability landscapes for competitive photovoltaic self-consumption // Energy Policy. 2024. Vol. 188. 114084. https://doi.org/10.1016/j.enpol.2024.114084
Paper not yet in RePEc: Add citation now
Prol, J.L., Paul, A. (2024). Profitability landscapes for competitive photovoltaic self-consumption. Energy Policy, Vol. 188, 114084. https://doi.org/10.1016/j.enpol.2024.114084
Rahman M. J., Zhu H. Predicting financial distress using machine learning approaches: Evidence China // Journal of Contemporary Accounting & Economics. 2024. Vol. 20, Issue 1.
- Rahman, M.J., Zhu, H. (2024). Predicting financial distress using machine learning approaches: Evidence China. Journal of Contemporary Accounting & Economics, Vol. 20, Issue 1,
Paper not yet in RePEc: Add citation now
- Saputra W. H., Prastyo D. D., Kuswanto H. Machine Learning Modeling on Mixedfrequency Data for Financial Growth at Risk // Procedia Computer Science. 2024. Vol. 234. Pp. 397â403. https://doi.org/10.1016/j.procs.2024.03.020 Journal of Applied Economic Research, 2024, Vol. 23, No. 3, 776â800 ISSN 2712-7435 Wang Ying, Igor A. Mayburov, Yulia V. Leontyeva
Paper not yet in RePEc: Add citation now
- Saputra, W.H., Prastyo, D.D., Kuswanto, H. (2024). Machine Learning Modeling on Mixedfrequency Data for Financial Growth at Risk. Procedia Computer Science, Vol. 234, 397â403. https://doi.org/10.1016/j.procs.2024.03.020
Paper not yet in RePEc: Add citation now
Tang P., Tang T., Lu C. Predicting systemic financial risk with interpretable machine learning // The North American Journal of Economics and Finance. 2024. Vol. 71. 102088. https://doi. org/10.1016/j.najef.2024.102088
- Tang, P., Tang, T., Lu, C. (2024). Predicting systemic financial risk with interpretable machine learning. The North American Journal of Economics and Finance, Vol. 71, 102088. https://doi.org/10.1016/j.najef.2024.102088
Paper not yet in RePEc: Add citation now
Tarkocin C., Donduran M. Constructing early warning indicators for banks using machine learning models // The North American Journal of Economics and Finance. 2024. Vol. 69.
- Tarkocin, C., Donduran, M. (2024). Constructing early warning indicators for banks using machine learning models. The North American Journal of Economics and Finance, Vol. 69,
Paper not yet in RePEc: Add citation now
- Tian J. Deng W., Yuan J. Evaluation of sports tourism competitiveness of urban agglomerations in GuangdongHong KongMacao Greater Bay Area // Heliyon. 2023. Vol. 9, Issue 12. e22780. https://doi.org/10.1016/j.heliyon.2023.e22780
Paper not yet in RePEc: Add citation now
Tian S., Li S., Gu Q. Measurement and contagion modelling of systemic risk in Chinaâs financial sectors: Evidence for functional data analysis and complex network // International Review of Financial Analysis. 2023. Vol. 90. 102913. https://doi.org/10.1016/j.irfa.2023.102913
- Tian, J. Deng, W., Yuan, J. (2023). Evaluation of sports tourism competitiveness of urban agglomerations in GuangdongHong KongMacao Greater Bay Area. Heliyon, Vol. 9, Issue 12, e22780. https://doi.org/10.1016/j.heliyon.2023.e22780
Paper not yet in RePEc: Add citation now
- Tian, S., Li, S., Gu, Q. (2023). Measurement and contagion modelling of systemic risk in Chinaâs financial sectors: Evidence for functional data analysis and complex network. International Review of Financial Analysis, Vol. 90, 102913. https://doi.org/10.1016/j.irfa.2023.102913
Paper not yet in RePEc: Add citation now
- Wang J., Zeng C., Han X., Ma Z., Zheng B. Detecting early warning signals of financial crisis in spatial endogenous credit model using patch-size distribution // Physica A: Statistical Mechanics and its Applications. 2023. Vol. 625. 128925. https://doi.org/10.1016/j.physa.2023.128925
Paper not yet in RePEc: Add citation now
- Wang, J., Zeng, C., Han, X., Ma, Z., Zheng, B. (2023). Detecting early warning signals of financial crisis in spatial endogenous credit model using patch-size distribution. Physica A: Statistical Mechanics and its Applications, Vol. 625, 128925. https://doi.org/10.1016/j.physa.2023.128925
Paper not yet in RePEc: Add citation now
- Wu D., Ma X., Olson D. L. Financial distress prediction using integrated Z-score and multilayer perceptron neural networks // Decision Support Systems. 2022. Vol. 159. 113814. https://doi. org/10.1016/j.dss.2022.113814
Paper not yet in RePEc: Add citation now
- Wu, D., Ma, X., Olson, D.L. (2022). Financial distress prediction using integrated Z-score and multilayer perceptron neural networks. Decision Support Systems, Vol. 159, 113814. https://doi. org/10.1016/j.dss.2022.113814
Paper not yet in RePEc: Add citation now
- Xiao J., Wen Z., Jiang X., Yu L., Wang S. Three-stage research framework to assess and predict the financial risk of SMEs based on hybrid method // Decision Support Systems. 2024. Vol. 177. 114090. https://doi.org/10.1016/j.dss.2023.114090
Paper not yet in RePEc: Add citation now
- Xiao, J., Wen, Z., Jiang, X., Yu, L., Wang, S. (2024). Three-stage research framework to assess and predict the financial risk of SMEs based on hybrid method. Decision Support Systems, Vol. 177, 114090. https://doi.org/10.1016/j.dss.2023.114090
Paper not yet in RePEc: Add citation now
- Yang B., Li L. X., Ji H., Xu J. An early warning system for loan risk assessment using artificial neural networks // KnowledgeBased Systems. 2001. Vol. 14. Issue 5â6. Pp. 303â306. https://doi.org/10.1016/S0950-7051(01)00110â1
Paper not yet in RePEc: Add citation now
- Yang, B., Li, L.X., Ji, H., Xu, J. (2001). An early warning system for loan risk assessment using artificial neural networks. Knowledge-Based Systems, Vol. 14, Issue 5â6, 303â306. https://doi.org/10.1016/S0950-7051(01)00110â1
Paper not yet in RePEc: Add citation now
- Yi W. Z-score model on financial crisis early-warning of listed real estate companies in China: a financial engineering perspective // Systems Engineering Procedia. 2012. Vol. 3. Pp. 153â157. https://doi.org/10.1016/j.sepro.2011.11.021
Paper not yet in RePEc: Add citation now
- Yi, W. (2012). Z-score model on financial crisis earlywarning of listed real estate companies in China: a financial engineering perspective. Systems Engineering Procedia, Vol. 3, 153â157. https://doi.org/10.1016/j.sepro.2011.11.021
Paper not yet in RePEc: Add citation now
Yu H., Su T. ESG performance and corporate solvency // Finance Research Letters. 2024. Vol. 59. 104799. https://doi.org/10.1016/j.frl.2023.104799
- Yu, H., Su, T. (2024). ESG performance and corporate solvency. Finance Research Letters, Vol. 59, 104799. https://doi.org/10.1016/j.frl.2023.104799
Paper not yet in RePEc: Add citation now
- Zhu K., Liu D., Wu J., Sun L. The research of the regional financial risk earlywarning model integrating the regression of lagging factors // AASRI Procedia. 2012. Vol. 1. Pp. 428â434. https://doi.org/10.1016/j.aasri.2012.06.067
Paper not yet in RePEc: Add citation now
- Zhu L., Li M., Metawa N. Financial risk evaluation Z-score model for intelligent IoT-based enterprises // Information Processing & Management. 2021. Vol. 58, Issue 6, 102692. https://doi. org/10.1016/j.ipm.2021.102692
Paper not yet in RePEc: Add citation now
- Zhu R., Chen F. Tax and financial credit risks â Empirical evidence from Chinese investment enterprises // Finance Research Letters. 2024. Vol. 61. 104917. https://doi.org/10.1016/j. frl.2023.104917
Paper not yet in RePEc: Add citation now
Zhu W., Zhang T., Wu Y., Li S., Li Z. Research on optimization of an enterprise financial risk early warning method based on the DS-RF model // International Review of Financial Analysis. 2022. Vol. 81. 102140. https://doi.org/10.1016/j.irfa.2022.102140
- Zhu, K., Liu, D., Wu, J., Sun, L. (2012). The research of the regional financial risk earlywarning model integrating the regression of lagging factors. AASRI Procedia, Vol. 1, 428â434. https://doi.org/10.1016/j.aasri.2012.06.067
Paper not yet in RePEc: Add citation now
- Zhu, L., Li, M., Metawa, N. (2021). Financial risk evaluation Z-score model for intelligent IoT-based enterprises. Information Processing & Management, Vol. 58, Issue 6, 102692. https://doi.org/10.1016/j.ipm.2021.102692
Paper not yet in RePEc: Add citation now
Zhu, R., Chen, F. (2024). Tax and financial credit risks â Empirical evidence from Chinese investment enterprises. Finance Research Letters, Vol. 61, 104917. https://doi.org/10.1016/j. frl.2023.104917
- Zhu, W., Zhang, T., Wu, Y., Li, S., Li, Z. (2022). Research on optimization of an enterprise financial risk early warning method based on the DS-RF model. International Review of Financial Analysis, Vol. 81, 102140. https://doi.org/10.1016/j.irfa.2022.102140
Paper not yet in RePEc: Add citation now