A Rumsfeldian Framework for Understanding How to Employ Generative AI Models for Financial Analysis

This paper explores the use of #generativeai models in financial analysis within the Rumsfeldian framework of "known knowns, known unknowns, and unknown unknowns." It discusses the advantages of using #ai #models, such as their ability to identify complex patterns and automate processes, but also addresses the #uncertainties associated with generative AI, including #accuracy concerns and #ethical considerations.

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Keep Calm and Bank on: Panic-Driven Bank Runs and the Role of Public Communication

Information about #fdic #insurance and communication about #bank #stability by the #federalreserve can reassure depositors and mitigate #bankruns, while communication from political leaders only influ

Natural Disaster Risk and Firm Performance: Text Mining and Machine Learning Approach

Advanced #machinelearning models were found to be more effective than #linearregression in predicting firm performance under #naturaldisaster #risks. The study suggests that textual data in #financial

Evolution of Cybersecurity Disclosure

#regulators recently issued #cybersecurity #disclosure guidelines to enhance #transparency and #accountability among firms. A study analyzed cybersecurity disclosure practices among a sample of Toront