Distress Risk and Corporate Failure Modelling
-10%
portes grátis
Distress Risk and Corporate Failure Modelling
The State of the Art
Jones, Stewart
Taylor & Francis Ltd
09/2022
230
Dura
Inglês
9781138652491
15 a 20 dias
453
Descrição não disponível.
1. The Relevance and Utility of Distress Risk and Corporate Failure Forecasts 2. Searching for the Holy Grail: Alternative Statistical Modelling Approaches 3. The Rise of the Machines 4. An Empirical Application of Modern Machine Learning Methods 5. Corporate Failure Models for Private Companies, Not-for Profits, and Public Sector Entities 6. Whither Corporate Failure Research?
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
corporate bankrupty modelling;corporate failure modelling;corporate failure;distress risk;prediction models;machine learning;statistical learning models;deep learning;random forests;adaptive boosting;gradient boosting machines;corporate finance;Partial Dependency Plots;Gradient Boosting;Variable Importance Scores;Machine Learning Models;Mars Model;Special Treatment Firms;Distress Prediction Models;Mixed Logit Model;Generalized Lasso;Machine Learning Methods;Mars;Roc Curve;Cart Model;Non-failed Firms;Random Forests Model;Out-of Sample Predictive Power;Mixed Logit;Revenue Concentration;NL Model;Give USA Foundation;Working Capital;ORBIS Database;Earnings Management
1. The Relevance and Utility of Distress Risk and Corporate Failure Forecasts 2. Searching for the Holy Grail: Alternative Statistical Modelling Approaches 3. The Rise of the Machines 4. An Empirical Application of Modern Machine Learning Methods 5. Corporate Failure Models for Private Companies, Not-for Profits, and Public Sector Entities 6. Whither Corporate Failure Research?
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
corporate bankrupty modelling;corporate failure modelling;corporate failure;distress risk;prediction models;machine learning;statistical learning models;deep learning;random forests;adaptive boosting;gradient boosting machines;corporate finance;Partial Dependency Plots;Gradient Boosting;Variable Importance Scores;Machine Learning Models;Mars Model;Special Treatment Firms;Distress Prediction Models;Mixed Logit Model;Generalized Lasso;Machine Learning Methods;Mars;Roc Curve;Cart Model;Non-failed Firms;Random Forests Model;Out-of Sample Predictive Power;Mixed Logit;Revenue Concentration;NL Model;Give USA Foundation;Working Capital;ORBIS Database;Earnings Management
