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Benchmarking large language models for target-based financial sentiment and stock return

Sentiment analysis is vital for understanding market dynamics and formulating informed investing strategies, especially in volatile financial conditions. This study advances target-based financial sentiment analysis (TBFSA) by rigorously evaluating the efficacy of Large Language Models (LLMs) in zero-shot and few-shot learning contexts. We compare cutting-edge generative LLMs, such as ChatGPT-4o, ChatGPT-4, ChatGPT-o1, DeepSeek-R1, Llama-3-8B, Gemma-2-9B, and Gemma-227B, with conventional lex...

Securities transaction settlement optimization on superconducting quantum devices

We describe a quantum variational algorithm for securities transactions settlement optimization, based on a novel mathematical formalization of the problem that includes the most relevant constraints considered in the pan-European securities settlement platform TARGET2-Securities. The proposed algorithm is designed for Noisy Intermediate-Scale Quantum devices, specifically targeting IBM’s superconducting qubit machines. We adopt non-linear activation functions to encode inequality constraints...

Ragionevolezza e meritevolezza degli interessi nel diritto dei contratti: convergenze virtuose e liaisons dangereuses

Il contributo analizza il rapporto tra ragionevolezza e meritevolezza degli interessi nel diritto dei contratti, mettendo in luce convergenze e tensioni che caratterizzano l’evoluzione recente delle due categorie. Dopo aver ricostruito l’ascesa della ragionevolezza da criterio marginale del codice civile a parametro centrale del diritto contrattuale europeo e sovranazionale, l’indagine confronta due opposte impostazioni: quella che considera la ragionevolezza una categoria positiva dai moltep...

LABORATORY MEDICINE AT A CROSSROADS: VALUE, PRIVATIZATION, AND THE FUTURE OF DIAGNOSTIC STEWARDSHIP

Laboratory medicine plays a unique position within healthcare systems. Although it accounts for only a small fraction of expenditure, in vitro diagnostic testing plays a central role in screening, diagnosis, therapeutic decision-making, and disease monitoring. Increasing financial pressure on healthcare systems worldwide has stimulated discussions about outsourcing, privatization, and consolidation of laboratory services as strategies to improve efficiency. At the same time, the shift toward ...

The Emotion Regulation Flexibility Questionnaire: A Rasch-Validated Version for Children

The ability to effectively use different emotion regulation (ER) strategies across situations— i.e., ER flexibility (ERF)—plays a key role in emotional intelligence and social functioning. However, it has rarely been studied in young people, partly due to the lack of age-appropriate measurement instruments. This study investigated children’s perceptions of ERF by adapting an adult scale and proposing the 10-item Emotion Regulation Flexibility Questionnaire for Children (ERFQ-C). A sample...

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