Consumer Credit

Consumer credit research focuses on improving the accuracy and fairness of credit scoring and pricing models, aiming to optimize lending decisions and promote equitable access to financial services. Current research employs machine learning algorithms, including XGBoost and deep reinforcement learning, to enhance predictive accuracy and personalize pricing strategies, while simultaneously addressing biases that disproportionately affect vulnerable populations. These advancements have implications for both the financial industry, through improved risk assessment and profitability, and for broader societal equity by mitigating discriminatory lending practices.