Our mission is to combine the potential of artificial intelligence to transform financial data analysis into forecasting, risk management, market sentiment analysis and financial fraud prevention models.

The forecasting models will be based on solid mathematical theories and advanced artificial intelligence techniques, which have already been tested to identify behavioral trends and structural composition of the financial and monetary market, providing precise information for choices to be made in an increasingly complex and volatile environment.

Financial risk management will use advanced IT tools, supported by high mathematics tools.

By exploiting AI (Artificial Intelligence) and advanced mathematical techniques,

it is possible to assess financial risks more efficiently and accurately, allowing for timely preventive measures.

The market sentiment analysis must be conducted using sophisticated techniques and computer models to capture the moods of public opinion and investors.

Alternative data analysis, including satellite and geospatial, ESG, and social media, enables the formulation of increasingly efficient strategies.

Large language models can analyze vast amounts of unstructured data, to detect nuanced shifts in market sentiment.

Furthermore, these models can identify trends and sentiment changes more rapidly and comprehensively than traditional methods.

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​The IIEC has a staff of data scientists who have been implementing forecasting algorithms in various subjects for years (trends in stock market prices, raw material prices, qualitative analysis - at a scientific level - of biotech companies,

analysis of financial fraud).