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Network Based Scoring Models to Improve Credit Risk Management in Peer to Peer Lending Platforms
15 references·10 citing·45 second hop
Network Based Scoring Models to Improve Credit Risk Management in Peer to Peer Lending Platforms (2019)Network Based Scoring Models to Improve C…Fintech Credit Markets Around the World: Size, Drivers and Policy Issues (2018)Fintech Credit Markets Around…The use of profit scoring as an alternative to credit scoring systems in peer-to-peer (P2P) lending (2016)The use of profit scoring as …A comparative study on base classifiers in ensemble methods for credit scoring (2016)A comparative study on base c…Graphical Network Models for International Financial Flows (2015)Graphical Network Models for …Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)Benchmarking state-of-the-art…Evaluating credit risk and loan performance in online Peer-to-Peer (P2P) lending (2014)Evaluating credit risk and lo…Credit risk evaluation using neural networks: Emotional versus conventional models (2011)Credit risk evaluation using …Statistical merging of rating models (2010)Statistical merging of rating…Consumer credit-risk models via machine-learning algorithms (2010)Consumer credit-risk models v…Support vector machine based multiagent ensemble learning for credit risk evaluation (2009)Support vector machine based …The Credit Scoring Toolkit (2007)The Credit Scoring ToolkitFinancial Networks: Contagion, Commitment, and Private Sector Bailouts (2005)Financial Networks: Contagion…Topology of correlation-based minimal spanning trees in real and model markets (2003)Topology of correlation-based…Financial Contagion (2000)Financial ContagionIntroduction to Econophysics (1999)Introduction to EconophysicsNetwork centrality and credit risk: A comprehensive analysis of peer-to-peer lending dynamics (2024)Network centrality and credit…Leveraging network topology for credit risk assessment in P2P lending: A comparative study under the lens of machine learning (2024)Leveraging network topology f…Research on the FinTech risk early warning based on the MS-VAR model: An empirical analysis in China (2023)Research on the FinTech risk …On the dynamics of credit history and social interaction features, and their impact on creditworthiness assessment performance (2023)On the dynamics of credit his…Exploring the determinants of Fintech Credit: A comprehensive analysis (2023)Exploring the determinants of…Compliance concerns in sustainable finance: an analysis of peer-to-peer (P2P) lending platforms and sustainability (2023)Compliance concerns in sustai…Peer Level Credit Rating: An Extended Plugin for Credit Scoring Framework (2022)Peer Level Credit Rating: An …Artificial intelligence in Peer-to-peer lending in India: a cross-case analysis (2022)Artificial intelligence in Pe…Combining multiple probability predictions in the presence of class imbalance to discriminate between potential bad and good borrowers in the peer-to-peer lending market (2020)Combining multiple probabilit…Factorial Network Models to Improve P2P Credit Risk Management (2019)Factorial Network Models to I…Bank Runs, Deposit Insurance, and Liquidity (1983)Standardization, Compatibility, and Innovation (1985)‘Too interconnected to fail’ financial network of US CDS market: Topological fragility and systemic risk (2012)A network analysis of global banking: 1978–2010 (2013)MACHINE LEARNING METHODS FOR SYSTEMIC RISK ANALYSIS IN FINANCIAL SECTORS (2019)Hierarchical structure in financial markets (1999)An Introduction to Econophysics: Correlations and Complexity in Finance (2000)Networks of equities in financial markets (2004)A network perspective of the stock market (2010)The Econometrics of Financial Markets (2012)Crude Oil futures contracts and commodity markets: New evidence from a TVP-VAR extended joint connectedness approach (2021)The Market for "Lemons": Quality Uncertainty and the Market Mechanism (1970)Credit Rationing in Markets with Imperfect Information (1981)Judging Borrowers by the Company They Keep: Friendship Networks and Information Asymmetry in Online Peer-to-Peer Lending (2012)Risk assessment in social lending via random forests (2015)Study on a prediction of P2P network loan default based on the machine learning LightGBM and XGboost algorithms according to different high dimensional data cleaning (2018)The roles of alternative data and machine learning in fintech lending: Evidence from the LendingClub consumer platform (2019)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)A novel heterogeneous ensemble credit scoring model based on bstacking approach (2017)Cost-sensitive boosted tree for loan evaluation in peer-to-peer lending (2017)Soft consensus cost models for group decision making and economic interpretations (2019)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)What's In A Name? 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References

  • 2000Financial Contagion3,393 cited
  • 1999Introduction to Econophysics1,831 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
  • 2014Evaluating credit risk and loan performance in online Peer-to-Peer (P2P) lending495 cited
  • 2003Topology of correlation-based minimal spanning trees in real and model markets453 cited
  • 2005Financial Networks: Contagion, Commitment, and Private Sector Bailouts390 cited
  • 2018Fintech Credit Markets Around the World: Size, Drivers and Policy Issues281 cited
  • 2016The use of profit scoring as an alternative to credit scoring systems in peer-to-peer (P2P) lending253 cited
  • 2016A comparative study on base classifiers in ensemble methods for credit scoring248 cited
  • 2007The Credit Scoring Toolkit196 cited
  • 2009Support vector machine based multiagent ensemble learning for credit risk evaluation140 cited
  • 2015Graphical Network Models for International Financial Flows135 cited
  • 2011Credit risk evaluation using neural networks: Emotional versus conventional models102 cited
  • 2010Statistical merging of rating models

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61 cited

Cited by

  • 2020Combining multiple probability predictions in the presence of class imbalance to discriminate between potential bad and good borrowers in the peer-to-peer lending market35 cited
  • 2024Leveraging network topology for credit risk assessment in P2P lending: A comparative study under the lens of machine learning32 cited
  • 2022Artificial intelligence in Peer-to-peer lending in India: a cross-case analysis26 cited
  • 2023Exploring the determinants of Fintech Credit: A comprehensive analysis24 cited
  • 2023Compliance concerns in sustainable finance: an analysis of peer-to-peer (P2P) lending platforms and sustainability23 cited
  • 2023On the dynamics of credit history and social interaction features, and their impact on creditworthiness assessment performance21 cited
  • 2024Network centrality and credit risk: A comprehensive analysis of peer-to-peer lending dynamics20 cited
  • 2019Factorial Network Models to Improve P2P Credit Risk Management20 cited
  • 2022Peer Level Credit Rating: An Extended Plugin for Credit Scoring Framework19 cited
  • 2023Research on the FinTech risk early warning based on the MS-VAR model: An empirical analysis in China17 cited