Essays about: "Short-term Default Prediction"
Found 4 essays containing the words Short-term Default Prediction.
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1. Explainable Artificial Intelligence and its Applications in Behavioural Credit Scoring
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Credit scoring is critical for banks to evaluate new loan applications and monitor existing customers. Machine learning has been extensively researched for this case; however, the adoption of machine learning methods is minimal in financial risk management. READ MORE
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2. Predicting Bankruptcy with Machine Learning Models
University essay from Uppsala universitet/Statistiska institutionenAbstract : This thesis explores the predictive power of different machine learning algorithms in Swedish firm defaults. Both firm-specific variables and macroeconomic variables are used to calculate the estimated probabilities of firm default. READ MORE
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3. Prediction of Short-term Default Probability of Credit Card Invoices Using Behavioural Data
University essay from KTH/Matematisk statistikAbstract : Probability of Default (PD) is a standard metric to model and monitor credit risk, a major risk facing financial institutions. Traditional PD models are used to forecast risk levels in the long-term, while short-term PD predictions are rarer, but they can support management decisions on an operational level. READ MORE
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4. Application of Road Infrastructure Safety Assessment Methods at Intersections
University essay from Linköpings universitet/Kommunikations- och transportsystem; Linköpings universitet/Tekniska högskolanAbstract : Traffic safety at intersections is a particularly difficult phenomenon to study, given the fact that accidents occur randomly in time and space thereby making short-term measurement, assessment and comparison difficult. The EU directive 2008/96/EC introduced road infrastructure safety management, which offers a five layer structure for developing safer road infrastructure has been used to develop tools for accident prediction and black spot management analysis which has been applied in this work to assess the safety level of intersections in Norrköping city in Sweden. READ MORE