Publications

(2023). Forecasting GDP in Europe with Textual Data. Journal of Applied Econometrics.

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(2023). Forecasting with Economic News. Journal of Business and Economic Statistics.

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(2022). Testing Big Data in a Big Crisis: Nowcasting under COVID-19. International Journal of Forecasting.

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(2022). Detecting Anti-dumping Circumvention: A Network Approach. working paper SSRN 4160612.

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(2022). Sentiment Analysis of Economic Text: A Lexicon-based Approach. working paper SSRN 4106936.

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(2022). Fine-Grained, Aspect-Based Sentiment Analysis on Economic and Financial Lexicon. forthcoming in Knowledge-Based Systems.

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(2021). Forecasting Loan Default in Europe with Machine Learning. Journal of Financial Econometrics.

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(2021). Exploring the Predictive Power of News and Neural Machine Learning Models for Economic Forecasting. In: Bitetta V., Bordino I., Ferretti A., Gullo F., Pascolutti S., Ponti G. (eds) Mining Data for Financial Applications. MIDAS 2020. Lecture Notes in Computer Science, vol 12591. Springer..

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(2020). Household Debt and Economic Growth in Europe. in SSRN.

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(2020). Monitoring the Business Cycle with Fine-Grained, Aspect-Based Sentiment Extraction from News. In: Bitetta V., Bordino I., Ferretti A., Gullo F., Pascolutti S., Ponti G. (eds) Mining Data for Financial Applications. MIDAS 2019. Lecture Notes in Computer Science, vol 11985. Springer..

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(2018). Multi-class vector autoregressive models for multi-store sales data. In Journal of the Royal Statistical Society, C.

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(2016). Commodity dynamics: A sparse multi-class approach. In Energy Economics.

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