Summary
Cryptocurrencies are extremely volatile. This creates an interesting opportunity to extract extra returns from rebalancing a portfolio and extract a “diversification dividend”.
Part 1
In Part 1: Geometric and Arithmetic Returns, I explored the difference b/w geometric and arithmetic returns and linked risk and returns for an investment. Normally these effects are tiny (for standard, less volatile investments) and hence are exploited only by the very large pension funds and sovereign wealth funds. But given the high volatility of cryptocurrencies I believe they may be interesting for all crypto-investors.
In this post I will quantify the effect.
In Part 3: how to make 8% more per year I will calculate how much it can mean for the average portfolio
Portfolio variance
The variance of a portfolio of assets is lower than we weighted average variance if the assets have a correlation lower than 1.
The variance of a portfolio, in matrix form is
Where
- is the covariance matrix
- w is the weight vector
- T is the transpose operator
For an equal weight portfolio this general formula reduces to:
Where
- n is the number of assets
- is the average variance
- is average covariance
If we now further assume that all variances are the same and all correlations are the same (this is just to see a nicer formula but the principles will still apply if we relax these assumptions), then
where is the average correlation among the assets. Hence
This make sense: if n=1 or =1 then portfolio variance is
otherwise in all other cases portfolio variance is reduced.
Benefit to Geometric Returns
Given the Geometric Returns are reduced by half the variance, if we can reduce the variance we can improve our returns.
From the equation above we can see that the reduction in portfolio variance (and hence half of it would be a direct positive impact on returns) is:
This is interesting because we can now separate 3 effects:
- the higher the number of assets n the closer (asymptotically) to 1 this first component becomes
- the higher the average variance the higher the effect is
- the lower the average correlation the higher the effect is
You should perhaps try to use latex for your formulae to make them more readable: https://steemit.com/steemit/@dkmathstats/inputting-math-latex-into-steemit
Hi @homes, great suggestion! I already updated Part 1 and will update all posts. Do you think the png will expire at some point?
I expect it will, but I don't know - best thing to do is download it and then reupload to steemit when you write your posts
Thanks!
Nice one... @ @belgarath so many data's.. how is ICO doing from your side...
Hi @kenhudoy, thanks for the comment!
I have not been participating to too many ICOs, it's difficult to separate good from bad ones. But I will follow you up to get some more ideas on the subject.
So far I'm only in filecoin and blockcat. Let's see how they develop.
Thanks
Ok dear... And check some of my health posts as health is wealth...
Idk. The idea of "sound investments" in a portfolio of crypto seems far fetched. MITH recently went up 7x in 2 days or so for those people that happened to like the Tolkein reference (Frodo's Mithral vest) and were in it !!!
Naturally I rushed in after the fact!
I got lost in your maths - some of the terms are new to me and i would research them if i thought the whole thing were not a complete gamble!
Meanwhile of course there's no harm hedging your bets (lol) with maths based sensibilities!
Thank you.