Model Performance Monitoring
Expert-defined terms from the Advanced Certificate in Model Risk Management course at London School of Business and Administration. Free to read, free to share, paired with a globally recognised certification pathway.
Model Performance Monitoring #
Model performance monitoring is a critical aspect of model risk management that… #
It is essential to ensure that a model is performing as intended and to identify any issues or deviations that may impact its reliability and validity.
Model performance monitoring involves the regular review of key performance indi… #
These KPIs can include measures such as accuracy, precision, recall, F1 score, and other relevant metrics depending on the type of model being monitored.
- Model Risk Management: The process of identifying, assessing, and managing ris… #
- Model Risk Management: The process of identifying, assessing, and managing risks associated with the use of models in various business applications.
- Key Performance Indicators (KPIs): Quantifiable measures used to evaluate the… #
- Key Performance Indicators (KPIs): Quantifiable measures used to evaluate the success or performance of an organization, department, or individual in achieving specific objectives.
Explanation #
Model performance monitoring is crucial to ensure that a model continues to perf… #
By monitoring the model's performance regularly, organizations can identify potential issues, such as drift or degradation in model performance, and take corrective actions to address them.
For example, in the context of credit risk modeling, model performance monitorin… #
If the model's predictive accuracy starts to decline over time, it may indicate that the model needs to be recalibrated or updated to maintain its effectiveness.
Challenges in model performance monitoring can arise from various sources, inclu… #
Addressing these challenges requires a combination of technical expertise, domain knowledge, and effective communication between stakeholders involved in the model monitoring process.
In summary, model performance monitoring is a continuous process that plays a vi… #
By establishing robust monitoring mechanisms and processes, organizations can proactively manage model risk and maintain the integrity of their model-based decisions.