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Permanent layoff and consumer credit card loss forecasting
Zilong Liu,
Hongyan Liang
Gies College of Business
Business Administration
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peer-review
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Dive into the research topics of 'Permanent layoff and consumer credit card loss forecasting'. Together they form a unique fingerprint.
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Keyphrases
Layoffs
100%
Unemployment Rate
100%
Credit Card
100%
Consumer Credit
100%
Loss Forecasting
100%
Charge-off
27%
Credit Risk Modeling
18%
Two-component
9%
Unprecedented Level
9%
Design Methodology
9%
Politicians
9%
Multivariable
9%
Modeling Framework
9%
Dynamic Relationship
9%
Time Series Modeling
9%
Commercial Banks
9%
Volatility
9%
Labor Market
9%
Predictive Power
9%
Switching Time
9%
Machine Learning
9%
Temporary Unemployment
9%
Macroeconomic Indicators
9%
Regime Switching
9%
Temporary Layoff
9%
Macroeconomic Data
9%
COVID-19
9%
COVID-19 Pandemic
9%
Market Variables
9%
Credit Card Loans
9%
Economics, Econometrics and Finance
Layoff
100%
Credit Card
100%
Consumer Credit
100%
Risk Modeling
33%
Labor Market
16%
Time Series
16%
Credit
16%
Volatility
16%
Macroeconomics
16%
Machine Learning
16%
Commercial Bank
16%
Regime Switching
16%
Surges
16%
Macroeconomic Data
16%
Social Sciences
Unemployment Rate
100%
Layoff
100%
Banks
18%
Risk Modeling
18%
Time Series
9%
Labor Market
9%
Macroeconomics
9%
Volatility
9%
COVID-19
9%
COVID 19 Epidemic
9%
Macroeconomic Data
9%
Regime Switching
9%