insights & updates
News & Insight
MSTAR is the leading suite for designing, simulating and quantifying your operational risk scenarios.

News
Join us at the Oprisk North America Executive boardroom:Scenario construction "taking a standardized approach to benchmarking risk exposures".
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News
To help U.S. financial institutions navigate the emerging climate-related regulations and risk environment, the American Bankers Association and its partner MSTAR are conducting this annual survey to assess and compare the practices of different institutions in addressing climate risk.

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In the XOI methodology, a scenario is analyzed by identifying the resources exposed to an event, their degree of vulnerability to that event, and the factors and circumstances that can affect the cost of that event if it hits one of the exposed units.

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Clients are a major source of banks' exposure to climate-related litigation. Indeed, the financing of a project can be seen as part of the causal chain of environmental damage.

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We have identified three channels of exposure: customers, products and information. This video focuses on products, in particular funds.

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As the industry leading software, MSTAR offers the unique ability to design and simulate structured scenarios for operational risk through the use of the award winning XOI method.

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Join us to discover how to identify and assess ESG-related risks that could expose banks to losses through an analysis of five exposure scenarios and a structured risk assessment framework.

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This month, the "MSTAR Bank" board discusses the "Anti-competitive and manipulative practices" scenario, covering cases such as LIBOR or FX cartel.

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This month let's explore the quantification of this scenario through a wizard and what-if simulations, plus a sneak peek at the concept of the Exposure Table.

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Join us virtually to discover how to identify and assess climate risks that could expose banks with the innovative XOI method.
Contact us to learn more about our projects or to explore collaboration opportunities with our research team.