Diagram showing the causal structure of the model with drivers of Exposure, Occurrence, and Impact.

Define the model structure by setting up the causal relationships and the key drivers of Exposure, Occurrence, and Impact.

Screenshot of nodes with quantifiers such as values, ranges, and probability distributions from expert or data sources.

Attach quantifiers to each node: values, ranges, or distributions, based on expert judgment, internal data, or external sources.

Illustration of Monte Carlo simulation generating multiple situations to derive a loss distribution.

Run Monte Carlo simulations to explore a wide range of possible future situations and derive the distribution of potential losses.

Customizable risk grid displaying quantitative results for Risk and Control Assessment (RCA).

Present results in a customizable risk grid that can directly support and facilitate the completion of a quantitative Risk and Control Assessment (RCA).

What-if analysis configuration showing external stresses, enhanced controls, or alternative expert inputs.

Set up what-if analyses to model external stresses, enhanced controls, or challenger expert assessments. These can affect one or multiple drivers.

Simulation results comparing different assumptions from what-if analyses across probability levels.

Simulate scenarios under different assumptions from the what-if analysis to evaluate impacts at varying probability levels.

Method for assessing scenario dependencies ensuring a valid positive semi-definite correlation matrix.

Assess dependencies between scenarios with an intuitive method that ensures the correlation matrix remains mathematically valid (positive semi-definite)

Editable correlation matrix visualization with built-in mathematical consistency.

Visualize and edit the correlation matrix while maintaining mathematical consistency at all times

Joint simulation output using a copula dependency structure highlighting diversification effects.

Run joint simulations using a copula on the defined dependency structure. Aggregation results highlight diversification effects across different probability levels.

MSTAR Desktop: 
Oprisk Scenario Design

MSTAR Desktop implements the XOI method for designing and quantifying your own risk scenarios, from 
rogue trading to natural disasters by identifying exposure, assessing occurrence probabilities, and calculating impacts.

MSTAR Desktop can also generate simulation scripts 
in Python, R, or Matlab for integration into external applications

MSTAR Platform: Oprisk
Scenario Library

The award winning MSTAR Platform (Risk.net 2020) offers a free curated news feed linking real-world events to our risk scenarios.

Subscribers unlock a comprehensive library of 40+ operational risk scenarios across Conduct, Cyber, Errors, and more.

With the Enterprise platform (on-premise), everything can be fully customized to your organization’s needs.

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Operational risk news feed showing regulatory fines and events, mapped to MSTAR scenario library.

Access curated operational risk news, each linked to one of our 40+ scenarios (free).

Operational risk dashboard with expected and extreme loss by risk category in MSTAR platform.

Visualize your operational risk dashboard by category, with expected and extreme loss values (on-premise platform).

List of over 40 operational risk scenarios across Conduct, Cyber, Errors, Disruption and more in MSTAR library.

Explore the design and quantification of 40+ scenarios across Conduct, Cyber, Errors, Disruption, and more (consultation platform).

Detailed design of a risk scenario with exposure, occurrence and impact quantification, updated quarterly.

Browse detailed scenario designs and quantifiers, updated quarterly (consultation platform).

Customizable scenario wizard in MSTAR platform allowing users to adjust assumptions and input their own data.

Customize scenarios online with your own assumptions and data for tailored risk analysis (on-premise platform).

MSTAR App: News & Scenarios on iOS & Android

Newsfeed

Stay updated on operational risk events globally.

Scenario Library

Access 40 scenarios of all risk types: Conduct, ESG, Cyber, Fraud, Error, Disruption, and Legal.

Download the MSTAR App

Download App

Get Started with MSTAR

Contact us today to find out how MSTAR can enhance your risk management processes.