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Our Solutions
Enabling Robust Financial Analysis through Flexible Toolsets
The framework ifs™ (intellixx financial suite) is a modular financial optimization solution that is continuously extended and driven by evolving client requirements.
The modular ifs™ framework offers a platform for fast, field-tested and custom-tailored solutions in technical as well as in functional fields.
The ifs™ framework is often used as a kernel for client-driven commercial solutions.
The ifs.sbo™ module provides clients with a robust approach for determining optimal investment portfolios enabling informed investment decisions.
In contrast to the classical optimization method by Markowitz, which uses the expected yield of the involved assets as an input parameter, ifs.sbo™ uses a yield forecast independent method of robust portfolio optimisation, including multiple market scenarios within its computations to optimise strategic asset allocations to achieve an optimised minimal yield independent of actual scenarios.
ifs.sbo™ leverages artificial intelligence methods to ensure assure an adequate presentation of the strategic requirements which cannot be defined sharply due to statistical uncertainties or model limitations.
ifs.sbo™ is available as a modular extension for any trading and portfolio management systems.
The benefits of ifs.sbo™ include:
ifs.grid™ is a technical platform supporting distributed and parallel processing enabling the implementation of demanding computing processes.
ifs.iss™ (investing strategy simulator) provides an approach for the evaluation of investment strategies.
There are currently two approaches to portfolio management:
Many studies show that the majority of active managers fail to beat their benchmarks. On the other hand, the number of passive fund managers who simply mimic an index has increased considerably during the last few years. Passive managers settle for simply matching the market performance as opposed to beating it.
The big problem for active management is the fact that their strategies are not pursued systematically and but fall subject to subjective and inconsistent behavioural finance approaches.
intellixx argues that it is more promising to search for a simple and economically reasonable strategy that is successful over longer periods. With ifs.iss™ we utilise the power of machine learning (ML), artificial intelligence (AI) along with historical market data to enable clients to achieve new systematic, rational and consistent forecasts.
The ifs.iss™ module provides a potential solution for determining and evaluating successful asset allocation strategies.
