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Forecasting credit ratings of decarbonized firms: Comparative assessment of machine learning models
13 references·16 citing·51 second hop
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References

  • 2014Big Data: New Tricks for Econometrics1,574 cited
  • 2017Machine learning models and bankruptcy prediction952 cited
  • 2010A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems552 cited
  • 2020COP21 Roadmap: Do innovation, financial development, and transportation infrastructure matter for environmental sustainability in China?484 cited
  • 2015Risk assessment in social lending via random forests398 cited
  • 2019Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach387 cited
  • 2020Environmental cost of natural resources utilization and economic growth: Can China shift some burden through globalization for sustainable development?386 cited
  • 2020The imperativeness of environmental quality in the United States transportation sector amidst biomass-fossil energy consumption and growth374 cited
  • 2017Big Data sources and methods for social and economic analyses343 cited
  • 2013Influence of National Culture on Accounting Conservatism and Risk-Taking in the Banking Industry332 cited
  • 2021Carbon neutrality, bank lending, and credit risk: Evidence from the Eurozone323 cited
  • 2021The impact of carbon neutrality on the investment performance: Evidence from the equity mutual funds in BRICS256 cited
  • 2021The impact of resource curse on banking efficiency: Evidence from twelve oil producing countries

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  • 2023Governance perspective and the effect of economic policy uncertainty on financial stability: evidence from developed and developing economies84 cited
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  • 2022Natural resources, energy efficiency transition and sustainable development: Evidence from BRICS economies72 cited
  • 2023Renewable energy, credit portfolios and intermediation spread: Evidence from the banking sector in BRICS56 cited
  • 2023The impact of green credit on firms' green investment efficiency: Evidence from China56 cited
  • 2022Driving green bond market through energy prices, gold prices and green energy stocks: evidence from a non-linear approach50 cited
  • 2022Forecasting renewable energy stock volatility using short and long-term Markov switching GARCH-MIDAS models: Either, neither or both?49 cited
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