I would say returns/vol ~ t(mu, sigma, v) but otherwise more or less agree!
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Replying to @FREAK0NAUT @AgustinLebron3 and
I'm not sure what you're getting at. The pages you posted are describing volatility drag (in particular how you can overcome it with diversification and proper bet sizing). What's the relevance?
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Replying to @macrocephalopod @AgustinLebron3 and
that's not what those are describing. Shannon was specifically trying to find the most volatile stock so that he could rebalance the portfolio more frequency. and in that example the returns are stationary the whole portfolio is capturing vol, there's nothing to drag
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Replying to @FREAK0NAUT @AgustinLebron3 and
Of course there is. The stock has expected arithmetic return of 75% and expected geometric return of 0. Vol drag is the difference. By using less leverage and rebalancing you get closer to the arithmetic return (because you halve the vol drag)
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Replying to @macrocephalopod @FREAK0NAUT and
It looks like magic because the example uses a very contrived distribution of returns, but it’s the exact same principle behind why buying a stock index has positive returns even though buying a single stock will likely make you go broke.
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Replying to @macrocephalopod @AgustinLebron3 and
it's not a theoretical exercise.... https://twitter.com/goodalexander/status/1344890314792734722 …pic.twitter.com/QKeZeA2h5x
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Replying to @FREAK0NAUT @macrocephalopod and
but yeah you have to focus on maximizing the volatility of the portfolio so you can rebalance it more frequently Shannon's demon and Merton's model are essentially two sides of the same coin. Makes sense Thorpe, Shannon, Merton, Black were all running around MIT at the same time
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Replying to @FREAK0NAUT @macrocephalopod and
I feel like this thread to a hard turn on a tangent. What does any of this have to do with a variance clock?
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You are 100% right — hence my question above “what’s the relevance”?
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