SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Forecasting credit ratings using an ANN and statistical techniques
4 references·4 citing·30 second hop
Forecasting credit ratings using an ANN and statistical techniques (2003)Forecasting credit ratings using an ANN a…Detection of financial distress via multivariate statistical analysis (2001)Detection of financial distre…A study of using artificial neural networks to develop an early warning predictor for credit union financial distress with comparison to the probit model (2001)A study of using artificial n…Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress (1985)Introducing Recursive Partiti…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)FINANCIAL RATIOS, DISCRIMINAN…Application of Deep Neural Networks to assess corporate Credit Rating (2020)Application of Deep Neural Ne…Does credit rating revision affect the price of a special class of common stock? (2019)Does credit rating revision a…Credit Rating Forecasting Using Machine Learning Techniques (2019)Credit Rating Forecasting Usi…The Effects of Credit Ratings on Stock Returns in China (2008)The Effects of Credit Ratings…Financial Ratios As Predictors of Failure (1966)ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)An application of the cox proportional hazards model to bank failure (1986)A survey of business failures with an emphasis on prediction methods and industrial applications (1996)Predicting corporate financial distress: Reflections on choice-based sample bias (2002)The effect of bond rating changes on common stock prices (1986)The Effect of Bond Rating Agency Announcements on Bond and Stock Prices (1992)Is a Bond Rating Downgrade Bad News, Good News, or No News for Stockholders? (1993)Are Credit Ratings Relevant in China’s Corporate Bond Market? (2015)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Alternative methodologies in studies on business failure: do they produce better results than the classical statistical methodes ? (2004)An empirical analysis of financially distressed Australian companies: the application of survival analysis (2008)Business Bankruptcy Prediction Based on Survival Analysis Approach (2014)An Empirical Test of Financial Ratio Analysis for Small Business Failure Prediction (1972)Effect of international financial reporting standards on financial information quality (2011)Business failure prediction using statistical techniques: A review (2012)Credit scoring using neural and evolutionary techniques (2000)Variable Selection for Gaussian Process Models in Computer Experiments (2006)CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE (2011)Machine learning in corporate credit rating assessment using the expanded audit report (2022)Prediction of corporate credit ratings with machine learning: Simple interpretative models (2023)Using daily stock returns (1985)Information asymmetry, corporate disclosure, and the capital markets: A review of the empirical disclosure literature (2001)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)A LSTM-based method for stock returns prediction: A case study of China stock market (2015)A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)Every Corporation Owns Its Image: Corporate Credit Ratings via Convolutional Neural Networks (2020)MSEs Credit Risk Assessment Model Based on Federated Learning and Feature Selection (2023)Managerial incentives and risk-taking☆ (2005)How does financial reporting quality relate to investment efficiency? (2009)
this work references cited by second hop

References

  • 1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY14,869 cited
  • 1985Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress748 cited
  • 2001A study of using artificial neural networks to develop an early warning predictor for credit union financial distress with comparison to the probit model58 cited
  • 2001Detection of financial distress via multivariate statistical analysis52 cited

Cited by

  • 2019Credit Rating Forecasting Using Machine Learning Techniques29 cited
  • 2020Application of Deep Neural Networks to assess corporate Credit Rating29 cited
  • 2008The Effects of Credit Ratings on Stock Returns in China23 cited
  • 2019Does credit rating revision affect the price of a special class of common stock?22 cited

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