Daily returns on R1000 stocks since 1999. Point-in-time (no survivorship bias). Removed obvs with price < $5 or volume < 0. Observations: 5,541,053 AR Mean: 0.055% Geo Mean: 0.020% Stdev: 2.625%
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Replying to @therobotjames @breakingthemark and
Avg risk free rate (3 month bills) was 0.589% over that period. Which is 0.002% per day. I'm not 100% sure what you're expecting to see here so I haven't tried to interpret this for you.
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Replying to @therobotjames @breakingthemark and
Here's the annualised arithmetic return plotted against the annualised variance for each stock. (Each point is a unique stock ticker.) I've truncated axes a bit...pic.twitter.com/wKiETH1zgN
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Replying to @therobotjames @breakingthemark and
Here is the data summarised by ticker. https://filebin.net/ctycg7t0rgpozadj/byticker.csv?t=ek9bfpdq … Note the observations column... Stocks go in and out of the index so some stocks have lots of observations and others much fewer.
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Replying to @therobotjames @macrocephalopod and
Thanks. I've done two things. I calculated the OL for each stock and then averaged them, weighted by the # of observations. Its 1.16 And I calculated the weighted avg of return and st. dev. (my st. dev was a bit lower than yours, return was same). and then the OL. Its 0.85pic.twitter.com/xFIGI5Ol6M
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Replying to @breakingthemark @therobotjames and
So somewhat near 1. I'm not sure if 20 years is enough to get a full convergence. I used 70 years of data in my post. I think its a coincidence that the two meathods nearly equally flank 1 on each side.
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Replying to @breakingthemark @therobotjames and
Well, using your method of corroborating a theory CAPM has been corroborated 100% perfectly. Weighted average beta for all stocks=1, weighted average excess return = market excess return. But that's not how people judge CAPM, and it's not how people will judge your theory.
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Replying to @goldstein_aa @therobotjames and
"Weighted average beta for all stocks=1, weighted average excess return = market excess return" Are either of these true? I sent you a screen last week which made is seem like the first certainly wasn't true.
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Replying to @breakingthemark @goldstein_aa and
They are both true by definition if the weights are market cap weights and the index you are measuring beta to is a market cap weighted index. No data analysis required, it is just math.
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Replying to @macrocephalopod @goldstein_aa and
Oh, I'm wasn't trying to say to use market cap weights, just average them so each observation of a return is weighted equally. Is the average beta of a stock is greater than 1?
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It’s true no matter what the weights are, as long as the weights for the index you measure beta to are the same as the weights you use for calculating weighted beta. The average (equal weighted) beta to an equal weighted index is still 1.
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Replying to @macrocephalopod @goldstein_aa and
I was referencing CAPM beta, not beta at different weights. CAPM needs to compare to the market. I don't care about that comparison.
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