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Bond Default Prediction with Temporal Graph Convolutional Neural Network and Weakly Supervised Learning
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Bond Default Prediction with Temporal Graph Convolutional Neural Network and Weakly Supervised Learning (2023)Bond Default Prediction with Temporal Gra…Bond Default Prediction Based on Deep Learning and Knowledge Graph Technology (2021)Bond Default Prediction Based…Machine learning and credit ratings prediction in the age of fourth industrial revolution (2020)Machine learning and credit r…Temporal Relational Ranking for Stock Prediction (2019)Temporal Relational Ranking f…Predicting the Unpredictable: An Application of Machine Learning Algorithms in Indian Stock Market (2019)Predicting the Unpredictable:…HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction (2019)HATS: A Hierarchical Graph At…Incorporating Corporation Relationship via Graph Convolutional Neural Networks for Stock Price Prediction (2018)Incorporating Corporation Rel…Predicting business failure using classification and regression tree: An empirical comparison with popular classical statistical methods and top classification mining methods (2010)Predicting business failure u…Application of support vector machines to corporate credit rating prediction (2006)Application of support vector…Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Application of support vector machines in financial time series forecasting (2001)Financial time series forecasting using support vector machines (2003)A hybrid SOFM-SVR with a filter-based feature selection for stock market forecasting (2008)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)Machine Learning for Financial Risk Management: A Survey (2020)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Early warning of bank failure (1977)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Bankruptcy prediction using Partial Least Squares Logistic Regression (2017)Big data techniques in auditing research and practice: Current trends and future opportunities (2018)The effects of handling outliers on the performance of bankruptcy prediction models (2018)A Random Walk Down Wall Street (1973)Wikidata (2014)A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)Enhancing Stock Movement Prediction with Adversarial Training (2019)A Survey of Forex and Stock Price Prediction Using Deep Learning (2021)Applications of deep learning in stock market prediction: Recent progress (2021)The Behavior of Stock-Market Prices (1965)More Than Words: Quantifying Language to Measure Firms' Fundamentals (2008)Stock market's price movement prediction with LSTM neural networks (2017)AlphaStock (2019)Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company Correlations (2020)Twitter mood predicts the stock market (2011)Deep learning with long short-term memory networks for financial market predictions (2017)FinGAT: Financial Graph Attention Networks for Recommending Top-K Profitable Stocks (2021)Stock Movement Prediction Based on Bi-Typed Hybrid-Relational Market Knowledge Graph Via Dual Attention Networks (2022)Deep learning for event-driven stock prediction (2015)Improving stock market prediction via heterogeneous information fusion (2017)Comparing Artificial Neural Network Architectures for Brazilian Stock Market Prediction (2020)A New ANN-Particle Swarm Optimization with Center of Gravity (ANN-PSOCoG) Prediction Model for the Stock Market under the Effect of COVID-19 (2021)Using Social Media to Predict the Stock Market Crash and Rebound amid the Pandemic: The Digital ‘Haves’ and ‘Have-mores’ (2021)Credit Ratings and Capital Structure (2006)Machine learning models and bankruptcy prediction (2017)The Fourth Industrial Revolution: Opportunities and Challenges (2018)Carbon neutrality, bank lending, and credit risk: Evidence from the Eurozone (2021)Evolution of artificial intelligence research in Technological Forecasting and Social Change: Research topics, trends, and future directions (2023)The interaction of climate risk and bank liquidity: An emerging market perspective for transitions to low carbon energy (2023)Forecasting Default with the Kmv-Merton Model (2004)Loan Default Risk Prediction Using Knowledge Graph (2022)
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References

  • 2019Temporal Relational Ranking for Stock Prediction563 cited
  • 2018Incorporating Corporation Relationship via Graph Convolutional Neural Networks for Stock Price Prediction253 cited
  • 2006Application of support vector machines to corporate credit rating prediction205 cited
  • 2010Predicting business failure using classification and regression tree: An empirical comparison with popular classical statistical methods and top classification mining methods141 cited
  • 2019HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction120 cited
  • 2020Machine learning and credit ratings prediction in the age of fourth industrial revolution95 cited
  • 2019Predicting the Unpredictable: An Application of Machine Learning Algorithms in Indian Stock Market57 cited
  • 2021Bond Default Prediction Based on Deep Learning and Knowledge Graph Technology19 cited

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