Cute fact about the Zillow thing is that even if Zillow's model was more accurate than local agent valuations, local agents/property owners can still win on average because they get to choose which houses to buy/sell.
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Sounds familiar: just because you’re right on average doesn’t mean you’re right when you need to be…
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Hmm, wonder what the minimum viable ratio of Zillow noise to agent noise works out to
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Why does this not hold for, say, IPOs.
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Also, why is Zillow simply putting in bids for all houses at their internal model valuation, rather than putting in bids specifically when the list price, which is say local agent valuation + Delta + random noise is < 10% below Zillow's internal pricing.
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Why not model Zillow as only buying properties where the seller agrees to a price 20% below Z's valuation?
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Cool analysis. Maybe it’s simpler than that? Zillow is like a long only market maker who can’t hedge its beta risks, and they are losing money when the market is going down. You can see that from they making 500bps last quarter and lost 700bps.
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Same should be true for OpenDoor or am I missing something?
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Thanks for offering this illustrative example. Hey could you provide more details on where >$300m total loss due to adverse selection comes from? Like with equations and stuff?
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@threadreaderapp unroll, please -
Halo! you can read it here: Cute fact about the Zillow thing is that even if Zillow's model was… https://threadreaderapp.com/thread/1455887352371597312.html … Enjoy :)
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