At the forefront of data science applied to finance, Jorge Miguel Bravo, Associate Professor at NOVA IMS and researcher at MagIC – Information Management Research Center, was distinguished with the Best Paper Award at the 8th Workshop on Mining Data for Financial Applications (MIDAS 2023). The event took place in Turin, Italy, on 22 September 2023, bringing together experts in machine learning and financial modeling from across Europe.
The awarded paper, “Ensemble Methods for Stock Market Prediction,” offers an in-depth exploration of how advanced ensemble techniques—such as bagging, boosting, and stacking—can enhance the predictive power of financial models. Recognizing the inherent complexity and volatility of stock markets, Bravo’s research proposes a robust comparative analysis of multiple ensemble approaches, demonstrating their potential to improve forecast accuracy and model stability in real-world trading environments.
By applying machine learning methodologies to financial time series data, the study contributes both to the academic literature and to the practical toolkit available to quantitative analysts and financial institutions. The findings underscore the growing importance of hybrid and ensemble-based systems in financial forecasting, offering meaningful advancements in the way risk and opportunity are assessed in capital markets.
The MIDAS Workshop, held as part of the broader ECML PKDD conference, is a prestigious venue for research at the intersection of data mining and financial innovation. The Best Paper Award is conferred annually to recognize the most impactful and methodologically rigorous work presented at the event.
This international recognition reinforces NOVA IMS’s leadership in applied data science and financial analytics, and highlights the significant contributions of its researchers to cutting-edge developments in financial technology.
Access the publication here.