Today, ChatGPT and large language models (LLMs) more generally represent the next evolution in AI/ML technology. And that comes with a number of implications.
Are investors fully factoring in enough investment risk from the green transition?
Amid the current artificial intelligence (AI) hype cycle, the M&A playbook has changed.
Expect increased crypto adoption in 2024.
Fitch Ratings' US credit downgrade highlights a latent principal–agent problem in modern financial markets: Investors have outsourced much of their risk management to the rating agencies.
Does it make sense to reframe the active vs. passive debate? Perhaps the question — active or passive? — is not the right one to ask.
How can quant and fundamental analysts apply LLMs like ChatGPT? How effective a “copilot” can these technologies be?
"Neither the Financial Analysts as a whole nor the investment funds as a whole can expect to ‘beat the market,’ because in a significant sense they (or you) are the market."
For most investment managers, ChatGPT represents the starting whistle in a tech arms race many had hoped to avoid.
So, do we human advisers and analysts stand any chance in the post-ChatGPT world?
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