Will there be a general consensus among economists that markets significantly overvalued AI companies during 2023?
This market will close early and resolve as YES if there is clear evidence of a bubble before the resolution date. It will resolve as NO if there is still no clear evidence of a bubble by the resolution date.
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@AndrewSabisky The flower industry, textiles and railroads all had significant market bubbles and all those sectors continued to grow after their bubbles collapsed. Bubbles are about current valuations and have very little to do with a sector's long-term potential. Sometimes bubbles collapse.
Few of the companies that were overvalued during the dot com bubble survived long enough to report earnings that would have justified their valuations. There were a few exceptions. Nvidia went public during the dot com bubble in 1999.
@JosephNoonan I don't think the hype is going away soon.
I decided to leave the resolution criteria somewhat loose and just set the resolution date far enough in the future that there would be post-mortem consensus on a bubble, even if it happened at the end of the year. I've been looking at some other potential resolution criteria to reinforce the consensus opinion resolution. This paper might be useful.
In November the average price to current earnings multiple of an S&P 500 firm, excluding the 14 most exposed to AI, was around 27. As we went to press, the multiple had dipped to 26. Meanwhile, the average multiple of firms in our AI bucket had leapt from 43 to 77.
These multiples might be justified. Excitement about Nvidia’s prospects has been prompted by orders for the company’s chips. During the firm’s earnings call representatives suggested that booming growth in income from data-centre chips would lift total revenues in the second quarter to $11bn, double their level in the previous year.
On the other hand, investors have been known to get overexcited about novel technologies.
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