How can I model new security types in my portfolio and deploy to production without requiring a long development cycle?
How can I analyze VaR and Expected Losses at any hierarchy or confidence interval without waiting for a new set of risk reports?
How can we make risk reports run more efficiently using Web Services and unitized holdings without going through another painful implementation?
Why Red Swan?
Tune RiskMetrics for Peak Performance.
Red Swan was founded with a simple purpose: To deliver the best risk solution possible using the best analytics platform. Driven by the commitment to optimize RiskMetrics for speed and flexibility while reducing model risk errors, Red Swan delivers a fully integrated risk solution that is easier and less expensive to implement and maintain without sacrificing performance.
Power, Speed and Precision.
Starting with the most powerful and comprehensive risk analytics engine from RiskMetrics, Red Swan takes it to another level by applying the same rigorous methodology to the entire risk process. Using optimized model configurations in the most dynamic and efficient manner, Red Swan consistently delivers the most reliable risk results to the end user as swiftly as possible.
The Preeminent RiskMetrics Integration Solution
Red Swan delivers higher performance, stability, and reliability at a fraction of the cost of custom development and maintenance expenses, all backed by Red Swan’s industry-leading support and consultants. Even the most complex implementations are easy to handle with Red Swan’s fully integrated software solutions.
Adding new risk models?
Simple – they are included
Migrating to web services?
Red Swan does it faster than the you can imagine. It’s built in.
Need to turbocharge your risk by aggregating simulated returns?
The Red Swan upgrade is all you need.
Peak performance requires
better model risk management.
Manage model risk better,
with Red Swan Risk.
What is Model Risk?
Intrinsic Model Risk is a challenge with every risk system. The more complex the model, the higher the potential model risk.
Extrinsic Model Risk, caused by input data errors and model configuration mistakes, can compound model risk significantly and cause severe distortions to risk optics.
Model Risk Mitigation
By minimizing Extrinsic Model Risk, Red Swan improves the veracity and confidence of risk reporting.
Ongoing Challenge of Model Risk Management
Maintaining optimal performance requires constant vigilance and responsiveness to prevent excessive model risk from creeping back into reports.
Red Swan services provide ongoing maintenance, monitoring, diagnostics, and timely mitigation required to manage model risk effectively.
The Hidden Danger Of Model Risk
Risk management is an inherently unstable process due to continuous changes and growing complexity.
Portfolio holdings, models, market data, technology, reporting requirements, and risk personnel regularly change through the course of business. This creates an ongoing maintenance challenge to keep the risk processes up-to-date and performing optimally.
Without proper attention, modeling errors and mistakes can compound, distorting optics to the point where risk output is no longer trusted by risk and portfolio managers, investors, or regulators.
This type of Model Risk catches many firms by surprise because they are not aware how severe it can be until it is a very serious and costly problem.
Example Timeline of Model Risk Errors and Corrections
Risk report accuracy declines regularly in the course of business: Input/output data errors, model configuration, formatting, & validation errors all contribute to the degradation of risk reporting trustworthiness.
- Input/output data management and process automation
- Model configuration, formatting, and validation
- Ongoing monitoring, diagnostics, analysis and remediation
- Version control, documentation and audit support