Every bank looks for competitive advantages by developing new consumer accounts and financial products. @RISK and the DecisionTools Suite bring robust analytics such as Monte Carlo simulation, optimization, decision trees, sensitivity analysis, and predictive data analysis to Microsoft Excel. This enables users of all levels to Qquantify the value of real options, or the right to undertake investment or not, in the face of uncertain future outcomes. Firms can also gain a competitive advantage through the analysis of qualitative data and get help putting together comprehensive reports on findings for upper management. It could make the difference in bringing forth just the right products to win new account-holders in a highly competitive environment.

Optimize multiple portfolio assets (such as stocks, bonds, and real estate) to maximize return while minimizing risk. Perform efficient frontier analysis to identify the best portfolio for a given level of risk. In unpredictable market conditions, banks can optimize portfolio assets like stocks, bonds and real estate by using Lumivero's tools to perform frontier analysis that will show the best portfolio mix for a given level of risk.

Cyber risk is and will continue to be a significant challenge, as bad actors become more sophisticated and motivated. As most banking firms now operate mainly in the digital realm, banks are under growing pressure from consumers, business account holders, and regulators to ensure security against cyber attacks. Using the Monte Carlo simulations, banking executives can see the likelihood of cyberattacks at different levels of investment in security, and ensure they are making the right level of investment to protect themselves and their account holders.

Mitigate exposure to currency volatility through an optimized options and futures strategy that accounts for uncertainty.

Quantify the value of real options, or the right to undertake an investment or not, in the face of uncertainty.

Calculate the probability of different losses on a portfolio over a given time period, given uncertain investment outcomes.