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Software “detects CEO emotions, predicts financial performance”

blogs.wsj.com

51–60 of 66 posts

Re: Software “detects CEO emotions, predicts financial performance”

#51
post #3

I envision a future where CEOs don Guy Fawkes masks before doing press releases.

And damage their branding? Nah, they'll do motion capture and render their mascots doing it. Picture Ruby giving AMD's presser.

You can see emotions on characters that way. That's part of the point.

Re: Software “detects CEO emotions, predicts financial performance”

#52

Create a hedge fund and run your proprietary algorithm. If you succeed over the long term and generate a consistent market premium for a given risk exposure, you've got a story. If you don't do this, you've got an unproven claim like many others in history, the vast majority of which were proven false when put into practice.

This will get gamed and the "profits" will dwindle very quickly.

Re: Software “detects CEO emotions, predicts financial performance”

#55

Create a hedge fund and run your proprietary algorithm. If you succeed over the long term and generate a consistent market premium for a given risk exposure, you've got a story. If you don't do this, you've got an unproven claim like many others in history, the vast majority of which were proven false when put into practice.

This will get gamed and the "profits" will dwindle very quickly.

This.

If this was feasible it wouldn't have been published.

Re: Software “detects CEO emotions, predicts financial performance”

#57
post #31
post #25

> CEOs whose faces during a media interview showed disgust [...] were associated with a 9.3% boost in overall profits in the following quarter. I'm surprised I haven't seen anyone say "Regression to the mean" yet. Suppose the CEO gets obviously-scowly whenever their last quarter was abnormally bad... Well, the next quarter will naturally tend to be better, purely because it's a return to a "normal" state of affairs.…

I have never heard of regression towards the mean in profits. It certainly doesn't exist for stock prices. You would actually tend to observe trends - the opposite phenomenon. For example, Google would have a 20% increase in profits on one quarter and another similar increase the following quarter but not a sudden loss caused by a regression to the mean.

In this case, "regression to the mean" is probably the wrong phrase.

Generally, though, when a CEO is looking stern and fearful and declaring writedowns and layoffs and erasing the 'goodwill' off of their books one quarter along with huge losses and financial penalties, etc then the next quarter usually isn't quite as big of a shitshow...

So the point here would be to buy a stock that has been overly punished and become unfashionable, while the overall business is still sound and will eventually rebound and the stock price should perk up.

If true, though, reading the negative emotions of the CEO would be correlated with past performance and it wouldn't be useful to determine if the company really was sound or if the company was actually heading to zero.

Re: Software “detects CEO emotions, predicts financial performance”

#58
post #17

I think picking up a micro-facial movements and body posture is where this software analysis can shine, the minute details that can indicate emotions. Adding sentiment analysis, not just CEO facial analysis, is an interesting tool that can be used by traders / investors. This is a short paper, may be interesting: Trading Strategies to Exploit Blog and News Sentiment - http://www3.cs.stonybrook.edu/~skiena/lydia/blogt…

Maybe not as useful but you can also detect pulse using a simple webcam and some software. That combined with speech might give some more insight.

http://www.extremetech.com/extreme/149623-mit-releases-open-...

https://www.youtube.com/watch?v=3rWycBEHn3s

Re: Software “detects CEO emotions, predicts financial performance”

#60
post #45

Nate Silvers wrote an entire book on this subject called "The Signal and the Noise" [1]. Humans are so often taken in by people claiming to be able to make predictions by combining new data points. The more unusual, or unrelated to the subject matter, the better. They make good headlines but (not surpsingly) almost always turn out to be heavily flawed in practice. You can basically measure how much a pundit/expert is…

The law of averages will tell you that the more metrics (however random) you throw into your prediction engine, the closer your prediction will be to the actual result. But it's not very remarkable and it will never put you ahead consistently.
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