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t1_j8mjine wrote

The only person less accurate in predicting stock prices than the average American is Jim Cramer.

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t1_j8mq66l wrote

As an extension of this, it'd be interesting to see the cross-correlation for other offsets in which public sentiment precedes the stock market outcome.

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t1_j8mwztb wrote

When the market is down people think it will stay down. When the market is up people will think it'll stay up. Plot reality vs perception and I suspect that lag will be evident.

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t1_j8mxavd wrote

I'm a little confused.

The question asked is "will the market be higher or lower 12 months from now." But the plotted line seems to be a percentage change in the market, not a yes or no answer.

I'm guessing the prediction is something like "higher" answers minus "lower" answers. But a bunch of people saying "higher" is different from a bunch of people saying "30% higher."

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t1_j8mzgu9 wrote

I dont think there's anyone or thing in the world that can intelligently speak to the performance of the Stock Market 12 months out.

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t1_j8n05zw wrote

It looks like the majority of predictions through the years are people just believing the current trend will continue and then changing their opinion when the market changes.

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t1_j8n9rxe wrote

It clearly looks like the predictions line is lagging and following the stock market line vs the other way around . The predictions seem to be of no value.

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t1_j8norki wrote

This is only because of the nonstop news reporting in the coming “recession” that they are desperately trying to will into existence

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t1_j8npjnh wrote

"Be Fearful When Others Are Greedy and Greedy When Others Are Fearful"

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t1_j8ntf8n wrote

If you're wondering if it go up or down, the answer is always yes.

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t1_j8o2ff5 wrote

That figure tells me most Americans don’t know what they’re talking about when it comes to the stock market.

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t1_j8omokb wrote

Kinda looks like people are like "it's down now, so it'll not changw in 12 months" most of the time. Like, most of graph is offset by 12 months...so people are just persistence forecasting on average when asked (or the average of the extreme predictions is persistence)

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t1_j8ot560 wrote

Shouldn't you have a measure of probability to say "no correlation" ? What if you are very certain (i.e. lots and lots of data) that there is a very small, but positive, correlation of 0.06? I've seen correlations of 0.001 that had a 95% confidence interval that did not include 0.

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t1_j8ovwcs wrote

It's interesting that at a glance, the predictions seem not far off. But in reality, the predictions are just lagging behind market results by a few days which makes them absolutely useless.

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t1_j8pazm8 wrote

Are the returns stationary on this timeframe? When dealing with time series, especially non stationary ones, you should really be looking at their first (and potentially higher) order differences when computing correlations or R^2.

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t1_j8pbv86 wrote

They are lagged a lot, most of them would lose tons of money.

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