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 @breakingthemark and
Yes, I told him that before. I'm trying to write out the formulas now to convince him.
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Replying to @macrocephalopod @breakingthemark and
Thanks! Your handwriting is much better than mine. :-)
0 replies 0 retweets 1 likeThanks. Twitter will use this to make your timeline better. UndoUndo
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