Certainty in an uncertain world
www.cambridge-systems.com
Bridging theory and practice
'People are poor forecasters of their future emotions and future tastes - they need help in this task' Daniel Kahneman
Our intelligent Robo Advisor imitates the behavioural aspects of individuals' decisions.
iALM is goal-oriented financial advice software that helps households to
iALM has unique advantages over all other Robo Advisors currently on the market.
It takes a holistic approach in which all of your goals, priorities, liabilities and personal circumstances are considered at the same time, so the asset allocation recommendations are demonstrably better (see our paper) than the standard more simple approaches (e.g. using separate funds for each goal or using a life-cycle fund).
Taking into account future portfolio dynamics
Expected longevity can be greatly underestimated by a person. Our system takes mortality risks into account when giving advice on investment. It can inform a user on the probabilities of good and bad scenarios.
Our system is based on a Dynamic Stochastic Programming approach. It has been demonstrated theoretically to be better than standard Robo Advisors. In practice it has been back tested versus the best human financial advisors and positively evaluated by them.
Standard
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Holistic optimization: |
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Future dynamic portfolio allocation |
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Advice on how much to save |
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Takes into account longevity risk |
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Download recently published iALM papers here, here and here
Download a presentation showing a sample client report here