Here's a doozy of a Tweet.
It's not a joke (nice timing on the screen grab). That's the CEO of Strategy pumping one of the company's variable rate perpetual preferred issues.
It shows a yield on Yahoo of 11.5% at the current price. Nothing bad will happen until it does. Or put differently, risk happens fast and if the whole Strategy story crumbles, STRC might drop like a Wylie Coyote cartoon. Isolating that risk isn't too difficult, knowing when it will happen is pretty much impossible. Once you really break a risk down to simple terms, you can then make an informed decision about whether it is a risk you should take. I am surprised how steady it has been.
Larry Swedroe wrote about risk, diversification and risk adjusted returns. He hinted at this but if you have a diversified portfolio, you are going to have a few things that will "make you want to puke" as Jason Buck said. Once an investor realizes it's not in their interest to try to optimize for one week but for long periods of time, it becomes easier to endure a period where something is simply lagging or to endure when a diversifier that is intended to offset equity volatility does just that. You don't want your diversifiers to be your best performers.
This was interesting;
We've looked at this a little bit with the Unlimited Long/Short Equity ETF (HFEQ) which targets not twice the return of long short but twice the volatility. At some point I may have mentioned the Unlimited Managed Futures ETF (HFMF) which targets twice the volatility of regular managed futures.
I think this sort of idea for now anyway is a better way to add capital efficiency than the far more common twice the return levered funds that reset every day. But using something like client personal holding BTAL to leverage down, as we've described it previously, into slightly more equity exposure also works.
To point number 1 about the allocator needing to do the rebalancing, I'm not sure why that it a problem. It's a task to be done but I don't think it's a problem. For point number 2, I think there is an embedded assumption that variance drain (volatility drag) can be modeled or predicted but it's path dependent.
Anytime we've ever done some sort of long term study with the 2X S&P 500 ETF (SSO) it tracks 2x the index pretty closely most of the time. It delivers the general effect most of the time. Levered funds tracking narrower things or more volatile indexes tend to deviate more. SSO may not be close enough for you and just because it is pretty close most of the time, the wrong sequence will cause a lot of pain.
In 21 full and partial years since SSO started trading, I would say that 2020, 2018, 2015, 2011 and 2007 are when the deviation might have been uncomfortable certainly but not catastrophic. The way to use it, if there is any way in this context would not be to put 30% into SSO and think you've got 60% equities. More like, 50% into plain vanilla equities and maybe 5% in SSO to get to 60 exposure leaving 5% left over for some sort of diversifier or maybe 45 and 7.5 leaving 7.5 left over for a diversifier.Does it work when doubling the volatility in managed futures like HFMF?
The sample size is limited but based on first impressions, not really. Looking at long/short equity, there are more successful months than with managed futures.
But then this gets interesting.
The 2x volatility works in this comparison.
The period is too short to draw a conclusion about the performance but the volatility numbers are close and although you can't see it, the standard deviation numbers are even closer to each other. The concept is valid and yes there would be work to do but unless you're putting it all in one target date funds (not bagging on that), then any portfolio strategy you implement will require work.
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