The Project
Here we present a short overview of the goal of our project!
Goals
Modelling of the financial stress
- Identification of early warning indicators
- Identification of long-term strategic risk potentials
- Recommendations for the mitigation of financial risk factors
Data-based models
In data-based models, the relationships and trends are derived from the data. The models learn with each new data set and thus reflect reality.
Analytical models
Analytical models are theory-based forecasting models from economics and finance research. These models can be modified or extended by new data, but the theoretical framework remains unchanged.
Models
Methods
Prescriptive analytics
How can we influence events?
- Prescriptive Condition Monitoring
- Analysis of the effects
- Scenario analysis (what-if?)
- Analysis of the confidence of the prediction
- Identification of risk mitigation measures
Predictive analytics
What will happen?
- Machine learning and regression analysis in the financial risk management system
- Derivation of early warning indicators and long-term risk potentials
Descriptive analytics
What happened?
- Analysis of financial and risk data
- Disaggregation of the variables (temporal developments, descriptive statistics)
- Correlation analyses (identification of first risk factors)
- Visualization techniques
