In the perfect world of economic models, investors make perfectly rational decisions using perfect information and earn the best possible returns. They never get distracted or confused. Of course, in real life it doesn’t always work that way. Investors can get bamboozled by management drivel, or besotted with charismatic founders. What if we could use AI to make better investment decisions? In this episode of the Chicago Booth Review podcast, we explore how researchers are using machine-learning models to improve how investors allocate their funds.
Why AI might not make you more productive
Raghuram Rajan: your doctor could be in India
David Brooks on how to make others feel valued
How to fix a toxic working culture
Can India’s economy break the mold?
Do you really get more conservative as you age?
How low productivity cost you $25,000
Does tackling global warming require global reporting rules?
Is Elon Musk a modern-day Odysseus?
Could reporting carbon emissions help cut them?
Why are workers so disengaged?
What’s wrong with charity?
Would you call out a microaggression?
An economist debunks “Gone with the Wind”
When will the Fed start cutting interest rates?
Is it fair to charge people different prices?
Why AI may be your best strategist
How should you deliver negative feedback?
Would you call out a workplace bully?
A Nobel laureate on the limits of evidence-based policy
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