Assessing ChatGPT’s Proficiency in Quantitative Risk Management

37 Pages Posted: 12 May 2023

Date Written: May 10, 2023

Abstract

We engage in a scholarly discussion with artificial intelligence chatbot ChatGPT on concepts in quantitative risk management important for actuarial practice and analyze the interaction. We investigate the extent to which ChatGPT can grasp concepts from the realm of risk, risk measures, time series, extremes and dependence. Non-technical aspects of risk (such as explanations of various types of financial risk, the driving factors underlying the financial crisis of 2007 to 2009, or a basic introduction to the Basel Framework) are well grasped. However, more technical aspects (such as mathematical facts) are often inaccurate or wrong, sometimes in rather subtle ways. We provide guidance on the types of applications for which consulting ChatGPT can be useful in order to enhance your knowledge about quantitative risk management in actuarial practice, and point out those for which ChatGPT should better not be invoked.

Keywords: ChatGPT, quantitative risk management, risk, risk measures, time series, extremes, dependence

JEL Classification: C45, G32, D83

Suggested Citation

Hofert, Marius, Assessing ChatGPT’s Proficiency in Quantitative Risk Management (May 10, 2023). Available at SSRN: https://ssrn.com/abstract=4444104 or http://dx.doi.org/10.2139/ssrn.4444104

Marius Hofert (Contact Author)

The University of Hong Kong

Hong Kong
Hong Kong

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