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Pioneering Investment Strategies Leveraged by Machine Learning

Founded in 2001, our client is part of one of Italy's largest and most influential banks. The client, thanks to its significant assets under management, is one of the major asset management companies in Europe. As of Q2 2022, the company manages a substantial portfolio worth 392 billion euros.

The Challenge

Our client’s first goal was to provide its customers with innovative and high-performing investment strategies. To achieve this, the company needed to leverage the expertise of its management teams and use cutting-edge technologies capable of harnessing larger datasets in terms of volume, speed, and variability while keeping them lean. Therefore, the primary focus was optimizing investment strategies to improve investors' returns.
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The Approach

Together with Avvale, the client developed machine-learning models running on the Azure platform, merging its specialized asset management competencies with Avvale's technology and data scientist expertise.
This choice made this company a pioneer among asset management companies in Italy, being the first to use machine learning algorithms to predict stock index price trends thanks to a predictive modeling process. These algorithms analyze historical data, market trends, and various indicators to identify patterns and relationships that can help predict future stock price movements. By conducting a comprehensive, comparative analysis of the results generated by traditional statistical models and machine learning algorithms, it was possible to assess the real-time accuracy of the latter. This assessment revealed an improvement in the accuracy of stock price index forecasts, demonstrating the effectiveness of the machine learning algorithms.

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The Impact

For the past three years, this client has trusted Avvale because of the observed tangible benefits.  By implementing advanced machine learning models, they have gained valuable insights into stock market trends, resulting in accurate predictions for both short and long-term scenarios. Specifically designed methodologies and dashboards ensure a clear understanding and interpretation of the generated information. Drilled-down dashboard visualizations enable detailed analysis, supported by system emails and summary visualizations. Thanks to the ability to assess models' performance in response to daily market changes, the client can now benefit from personalized, real-time forecasts and aggregate results to develop customized portfolio strategies. As a result, investment strategies have improved significantly, along with the opportunity to make better-informed investment decisions that contribute to a more responsible financial ecosystem.

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