Research Review | 18 July 2024 | Artificial Intelligence and Finance

The Finance AI Challenge: An Evaluation of the Top Six Free Web-based AI Models
David Krause (Marquette University)
June 2024
This article evaluates six free web-based AI models-ChatGPT, Gemini, Copilot, Claude, Perplexity, and Meta AI-in their performance on finance-related tasks. Utilizing a structured approach, we assessed the models’ abilities to handle factual, conceptual, and computational queries, as well as their proficiency in Python coding through a financial case study. Our findings indicate that ChatGPT, Copilot, and Perplexity consistently excelled, particularly in delivering accurate, comprehensive, and well-structured responses. However, challenges such as maintaining context, ensuring factual accuracy, and mitigating biases persist. The study underscores the need for future research to enhance domain adaptation, explainability, and ethical considerations to ensure reliable and responsible use of AI models in finance.

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US GDP Nowcast Reflects Slow Growth For Upcoming Q2 Report

US economic activity is on track to remain slow in this month’s second-quarter GDP report. The expansion is expected to continue via the government’s data, but today’s revised nowcast for Q2 suggests that output will remain more or less comparable to Q1’s modest increase, based on the median estimate for a set of projections compiled by CapitalSpectator.com.

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Book Bits: 13 July 2024

Shocks, Crises, and False Alarms: How to Assess True Macroeconomic Risk
Philipp Carlsson-Szlezak and Paul Swartz
Excerpt via Harvard Business Review
In 2022, when U.S. interest rates climbed, a cascade of emerging-market defaults were predicted—but they didn’t materialize. Also in 2022, and again in 2023, public discourse cast an imminent recession as “inevitable.” Instead a resilient U.S. economy not only defied the doomsayers but delivered strong growth.
For executives and investors such whiplash comes with two types of costs: financial and organizational. Consider the financial cost to automakers that reduced their semiconductor orders in 2020 because they misread the Covid-19 recession as a protracted economic depression. That meant they missed out on sales during the roaring recovery. And leaders can lose the trust of their organizations if they overreact to false alarms with abrupt reversals in strategy, operations, and communications. Clearly, getting the macro call right really matters.

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