SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
The role of AI in credit risk assessment: Evidence from OECD and BRICS via system GMM and random forest
9 references·0 citing·40 second hop
The role of AI in credit risk assessment: Evidence from OECD and BRICS via system GMM and random forest (2025)The role of AI in credit risk assessment:…Network centrality effects in peer to peer lending (2022)Network centrality effects in…Application of credit‐scoring methods in a decision support system of investment for peer‐to‐peer lending (2021)Application of credit‐scoring…Network based credit risk models (2019)Network based credit risk mod…Credit Scoring and Its Applications (2017)Credit Scoring and Its Applic…Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)Benchmarking state-of-the-art…Consumer credit-risk models via machine-learning algorithms (2010)Consumer credit-risk models v…Support vector machines for credit scoring and discovery of significant features (2008)Support vector machines for c…Initial conditions and moment restrictions in dynamic panel data models (1998)Initial conditions and moment…Another look at the instrumental variable estimation of error-components models (1995)Another look at the instrumen…Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations (1991)Initial conditions and moment restrictions in dynamic panel data models (1995)Econometric Analysis of Cross Section and Panel Data (2001)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Credit scoring with a data mining approach based on support vector machines (2006)Machine Learning in Financial Crisis Prediction: A Survey (2011)An empirical comparison of conventional techniques, neural networks and the three stage hybrid Adaptive Neuro Fuzzy Inference System (ANFIS) model for credit scoring analysis: The case of Turkish credit card data (2012)Credit scoring using the clustered support vector machine (2014)A New Status Index Derived from Sociometric Analysis (1953)Financial Contagion (2000)Econometric measures of connectedness and systemic risk in the finance and insurance sectors (2012)COVID-19 pandemic risk and probability of loan default: evidence from marketplace lending market (2021)A systematic review of green finance in the banking industry: perspectives from a developing country (2022)Exploring the impact of green credit policies on corporate financing costs based on the data of Chinese A-share listed companies from 2008 to 2019 (2022)Biases in Dynamic Models with Fixed Effects (1981)A finite sample correction for the variance of linear efficient two-step GMM estimators (2004)How to do Xtabond2: An Introduction to Difference and System GMM in Stata (2009)Does Corporate Social Responsibility Affect the Cost of Capital? (2010)The Measurement of Observer Agreement for Categorical Data (1977)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Counterfactual Fairness (2017)On the Fintech Revolution: Interpreting the Forces of Innovation, Disruption, and Transformation in Financial Services (2018)Empirical Asset Pricing via Machine Learning (2020)Portfolio Selection: Efficient Diversification of Investments. (1962)Neural network credit scoring models (2000)How fair is machine learning in credit lending? (2024)Partial dependence analysis of financial ratios in predicting company defaults: random forest vs XGBoost models (2025)Factoring and weighting approaches to status scores and clique identification (1972)The Strength of Weak Ties (1973)Whom You Know Matters: Venture Capital Networks and Investment Performance (2007)Liquidity risk in FinTech lending: Early impact of the COVID-19 pandemic on the P2P lending market (2023)Leveraging network topology for credit risk assessment in P2P lending: A comparative study under the lens of machine learning (2024)Network centrality and credit risk: A comprehensive analysis of peer-to-peer lending dynamics (2024)An intelligent-agent-based fuzzy group decision making model for financial multicriteria decision support: The case of credit scoring (2007)Credit scoring with macroeconomic variables using survival analysis (2008)Forecasting and operational research: a review (2008)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)'It's Reducing a Human Being to a Percentage' (2018)Machine Learning and Natural Language Processing in Mental Health: Systematic Review (2020)
this work references cited by second hop

References

  • 1998Initial conditions and moment restrictions in dynamic panel data models22,547 cited
  • 1995Another look at the instrumental variable estimation of error-components models19,861 cited
  • 2015Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research1,277 cited
  • 2010Consumer credit-risk models via machine-learning algorithms861 cited
  • 2008Support vector machines for credit scoring and discovery of significant features336 cited
  • 2017Credit Scoring and Its Applications306 cited
  • 2019Network based credit risk models107 cited
  • 2022Network centrality effects in peer to peer lending39 cited
  • 2021Application of credit‐scoring methods in a decision support system of investment for peer‐to‐peer lending14 cited

Cited by

No citing works inside the corpus for this window.

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work