4 résultats pour « financialrisk »

FinPT: Financial Risk Prediction with Profile Tuning on Pretrained Foundation Models

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#financialrisk #prediction is vital but hindered by outdated algorithms and the absence of comprehensive benchmarks. Addressing this, FinPT uses large pretrained models and Profile Tuning for #risk prediction, while FinBench provides datasets on #default, #fraud, and #churn. FinPT inserts tabular data into templates, generates customer profiles using #languagemodels, and fine-tunes models for predictions, demonstrated effectively through experiments on FinBench, enhancing understanding of language models in financial risk.

Quantum Computing: A Bubble Ready to Burst or a Looming Breakthrough?

This paper explores three notable #quantumcomputing applications in the realm of #centralbanking, including assessing #financialrisk, #creditscoring, and #transactionsettlement. Although these applications are currently in the proof-of-concept stage, they highlight the emergence of new software paradigms and potential breakthroughs. It also emphasizes the importance of carefully considering the trade-off between adopting innovative technology before it becomes mainstream and the #risk of being outpaced by more agile competitors.

Macroprudential policies and climate risks

"Insights from scenario analysis may help inform the use of ‘hard’ macroprudential tools to foster the robustness and resilience of the banking system against climate-induced shocks. Against the backdrop of the ongoing reform of the EU’s macroprudential framework, the paper explores how the macroprudential toolkit could be adjusted to the reality of climate-related financial risks."