Financial Services
Regulation of the banking industry continues to evolve as the public becomes less tolerant of inappropriate practices and demands more transparency, automation, comprehensive services, and fraud protection. Meanwhile, global currency markets are volatile, influenced by local and regional geopolitical forces and trade policy, introducing more uncertainty into international investment decisions. Additionally, individual retirement planning is becoming more complex, and must account for unknowns with respect to pensions, government programs, market volatility, and healthcare. Analytics are a critical piece of the financial puzzle, and Lumivero’s software solutions can be used to address a wide range of finance and banking challenges.
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 quantify 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 risk management tools to perform frontier analysis that will show the best portfolio mix for a given level of risk.

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Lumivero software solutions enable users of all levels to contribute to better decision-making – with or without data, and with or without a statistics background.
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