Vibes and the economy

I don’t want to get too political, but it’s an election year (in several countries) and The Discourse is inevitable. But I want to quickly push back on something I’ve seen all too often on social media recently.

In America, the numbers for the economy look “good.” Unemployment is low, *really* low. Inflation is high, but wage growth is higher. And the stock market is up. So why are Americans’ perceptions of the economy so poor? Why is consumer confidence lower than it *should* be?

Some partisans and twitterati have decided that Trump Was Right and the problem is fake news. Legacy media and social media are both driving relentlessly negative press and this is brainwashing people into believing that the “good” economy is “bad.”

But instead I’d like to take take a step back and see if polls are telling us something that “the numbers” just aren’t. And I think I have good evidence that they are.

First, here’s a graph from the Federal Reserve Bank of Dallas. It shows that housing affordability is lower than at any time since the 80, lower even than during the housing bubble that precipitated the Great Recession. If you’re a millennial or a zoomer, *never in your life has housing been less affordable than it is today*.

And housing isn’t just a “nice-to-have,” it sits at the bottom of Mazlo’s Hierarchy of Needs for a reason. A stable housing situation is (for most people) a necessary ingredient before they feel confident starting a family, putting down roots, or just feeling like they “belong” to where they live.

Now, you *can* have a stable housing situation in an apartment, but it’s much harder. Rent increases can drive you out, and rent-controlled apartments are hard to come by. Apartments also aren’t always conducive to the types of living that people want in their life.

So the price of housing is driving a *real crisis* in millennial and zoomer living, as people with otherwise high earnings are unable to obtain what lower-earnings folks could get in the past, namely a house to live in.

Then there’s the fact that datapoints about “all” millennials are missing key differences *between* millennials. See the next graph

The *median* millennial is doing worse than the median boomer was at this point in their life, in terms of net wealth, net assets, and housing. But the top 10% of millennials are doing way better than the boomers ever could, so taken together it seems like millennials are doing well overall. It’s like looking at a city where 1 person is a billionaire and 99 are destitute and saying that overall the city is very wealthy.

These kinds of mean/median differences are well-known to people in liberal circles, because they signal high inequality. But because a liberal is currently president, these differences are ignored by much of the twitterati.

I could say more about this topic, and I wish I had the energy to, but I’ve been so tired lately with my new medicine. Nevertheless, next time you see someone like Will Stancil screech that the kids are all morons and that everyone is rich, note that he is a member of that top 10%, not the median.

When people’s answers in polling are different than what “the fundamentals” suggest, it may be that the people are just stupid. But it’s far more likely that polling is capturing something that your data is ignoring. And right now that’s housing costs and growing inequality.

Are analysts’ opinions anti-correlated with the market?

This time 2 years ago, we were still riding high on the post-pandemic surge, and analysts were expecting the S&P could break 5,000. This time last year, we were still in what felt like the 2022 doldrums and analysts were predicting a recession. This time 3 months ago, people were declaring inflation was whipped. And then a few days ago, CPI and PPI came in hot.

I’ve written before about how the Efficient Market Hypothesis may imply that there is *no* correlation between analyst opinion and the stock market. Analysts are just as likely to be wrong as right, but people only remember the examples which agree with their biases. On the other hand, I read an article recently (I’m sorry I cannot find it to link) arguing that analyst opinion is in fact *anti*-correlated. That is, the Short Cramer ETF is correct, and analysts are so stupid you should do the opposite of what they say.

Speaking of, the Short Cramer ETF “SJIM” is down about 20% from when it began. But no matter, should you do the opposite of what analysts say or is that as irrational as following their advice?

One argument is that analysts are inherently *backward-looking*, they generally assume trends will continue forever. Some are perma-bulls or perma-bears, but on average when the market is down analysts predict a down year, and when it’s up they predict an up year. In this case, if the market is a random walk then it’s very unlikely to simply continue it’s current trend, thus an analyst is more likely to be wrong than right.

On the other hand, shouldn’t wisdom of the crowds have an affect? On the aggregate, many gamblers who bet on real world events (either sports of politics) are betting on what they *want* to happen, and many have no real knowledge whatsoever. Yet Nate Silver and others have argued that betting markets are often more accurate than not, whether it’s politics, sports or what have you. Some how, a million idiots adds up to something better than our smartest mind.

If that’s the case why don’t all the analysts of the market add up to something smart?

It just reminds me to be humble, because all too often I’ve seen people caught out badly by a trend. The late 2023 “inflation is beaten, start thanking Joe Biden” narrative won’t seem as smart if inflation stays persistently hot, any more than the “recession around the corner” narrative of 2023. Overconfidence when you really know nothing is the hallmark of an analyst, and maybe that’s why they’re so often wrong.