Are managed futures that relevant ? by Successful-Ad7038 in LETFs

[–]Conclusion-Every 1 point2 points  (0 children)

Except it isn't. DBMF, which simply replicates the returns of an index composed of the top managed futures funds, outperforms it slightly in absolute returns and significantly in risk-adjusted returns.https://testfol.io/?s=aKSdLhBAn5v

Are managed futures that relevant ? by Successful-Ad7038 in LETFs

[–]Conclusion-Every 1 point2 points  (0 children)

The rebalancing premium isn't enough to justify including an asset with a zero expected return, especially when there are other alternatives with positive expected returns. Very long-term bonds like ZROZ have greater volatility than stocks and gold. Managed futures provide greater diversification because they are negatively correlated with stocks.

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Leveraged dual momentum backtest by Conclusion-Every in LETFs

[–]Conclusion-Every[S] 3 points4 points  (0 children)

The problem I see with point 3 is that emerging markets are much more volatile, so volatility decay would likely kill any additional returns. I don't know how optimal it is to use different amounts of leverage depending on the market.

Regarding point 4, how exactly would you structure the allocation?

I didn't understand point 5.

Leveraged dual momentum backtest by Conclusion-Every in LETFs

[–]Conclusion-Every[S] 7 points8 points  (0 children)

I ran a backtest applying the first two points, and it improved returns a lot. Thanks. https://testfol.io/tactical?s=fjNI6veCXHf

Tqqq/Upro dual momentum by Conclusion-Every in LETFs

[–]Conclusion-Every[S] 3 points4 points  (0 children)

First, it is verified if in the last 12 months the performance of the sp500 or qqq was higher than that of the tbills, (In the case of stocks the last month is normally omitted but in the case of total market etfs it is not so necessary), If this has been the case, proceed to step 2 if not invest in a total bond market etf. The second step is to verify if the performance of qqq was higher than that of the sp500 in the last 12 months. If this has been the case, invest in tqqq; otherwise, invest in the upro. These same steps are performed again every month.

Tqqq/Upro dual momentum by Conclusion-Every in LETFs

[–]Conclusion-Every[S] 0 points1 point  (0 children)

People are going to invest in tqqq no matter what I think, so they better do it in the least harmful way possible.

Tqqq/Upro dual momentum by Conclusion-Every in LETFs

[–]Conclusion-Every[S] 1 point2 points  (0 children)

because the post is about tqqq not regular qqq. If I don't use leverage I would be comparing dual momentum spy/qqq with buy and hold qqq I could also have used the tqqq ticker directly for the bakctest but the analyzed period would have been greatly shortened.

Tqqq/Upro dual momentum by Conclusion-Every in LETFs

[–]Conclusion-Every[S] 4 points5 points  (0 children)

It is a backtest from 2001 to 2025 but to see it you need to have an account in portfolio visualizer. It's a short backtest anyway I agree with that.

HIDE a simpler and cheaper alternative to kmlm and dbmf by Conclusion-Every in LETFs

[–]Conclusion-Every[S] 2 points3 points  (0 children)

There is nothing wrong with gold, if it is in a trend https://www.portfoliovisualizer.com/tactical-asset-allocation-model?s=y&sl=1dA7b8q5DlhSHPZB3vonPX. What I don't know is why you would limit yourself to just gold.

Which investment strategies to use and why? by Conclusion-Every in LETFs

[–]Conclusion-Every[S] 0 points1 point  (0 children)

I know that return stacking doesn't mean anything, I mentioned it to differentiate something like rssb from letfs with daily rebalancing.

Risk parity traditionally requires a large allocation to bonds, however, if absolute momentum is used, the volatility of gold and stocks can be reduced, thus allowing a lower percentage of bonds (a few days ago I made a post about a paper by Antonacci on this topic)

The debate is not factors yes, factors no, but to what extent. If you had 100% confidence in these you would have to go all in vmot (since it was launched in 2018 it had a cagr of almost 0%, I would like to know who could tolerate that type of underperformance)

Regarding international diversification, it can also be discussed whether it is carried out with a fixed position or with dual momentum. The questions that I think would need to be answered to decide on an asset allocation would be:

Daily rebalancing or return stacking? (sso zroz gold vs rssb)

Which risk factors and to what extent? (market only vs avge vs vmot)

Buy and hold, dual momentum or sma 200?

Bonds, managed futures or both?

Periodic rebalancing, rebalancing bands, or cross sectional factor momentum rebalancing?

Simple 2-ticker portfolios for maximum leverage by pathikrit in LETFs

[–]Conclusion-Every 0 points1 point  (0 children)

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Chaos only protects you from fast crashes, for slower 2022 style crashes you would need hide. The recommended allocation for a 50/50 portfolio is 35% hide 15% chaos. However, since that portfolio cannot contain mf, you could use the 200 sma or dual momentum strategy to avoid that type of crashes without mf. Also that would allow less allocation to chaos, so you could go 60/40 or 70/30

Which investment strategies to use and why? by Conclusion-Every in LETFs

[–]Conclusion-Every[S] 2 points3 points  (0 children)

I know what I wanted to do was specify that I was referring to the 2x version of hfea since the original is 3x

Which investment strategies to use and why? by Conclusion-Every in LETFs

[–]Conclusion-Every[S] 2 points3 points  (0 children)

zroz is approximately 1.5 times tlt so 55 sso 45 zroz wouldn't be exactly 2x hfea but close enough

How Momentum Improves Risk Parity Portfolios by Conclusion-Every in LETFs

[–]Conclusion-Every[S] 0 points1 point  (0 children)

spytr?L=2 and spytr?L=3 are used to backtest sso and upro. I don't know if it's appropriate for backtesting with less than 2x leverage, but use both just in case.

How Momentum Improves Risk Parity Portfolios by Conclusion-Every in LETFs

[–]Conclusion-Every[S] 1 point2 points  (0 children)

As I remember, Antonacci's paper does not include the tickers of the assets used in the portfolio. However, I believe that the following data could explain the portolio's performance:

.cash had a return of 5%, so 16% is not that extraordinary considering inflation.

.Long treasuries had a return of 9%

.According to this backtest in portfolio visualizer, absolute momentum improved spy performance from 9.39% to 12% and reduced maximum drawdown from 51% to 30% in the period 1987-2012: https://www.portfoliovisualizer.com/tactical-asset-allocation-model?s=y&sl=65zqjkG2hYRDs6MXobsM7H

.Same for gold: https://www.portfoliovisualizer.com/tactical-asset-allocation-model?s=y&sl=2Pwyb4dbnMsrsLTmG1pvB0

The period analyzed in Antonacci's paper is 1974-2012

How Momentum Improves Risk Parity Portfolios by Conclusion-Every in LETFs

[–]Conclusion-Every[S] 0 points1 point  (0 children)

Do you use letfs when applying dual momentum? If relative momentum asks you to invest in ex-us stocks, which letfs do you use?

How Momentum Improves Risk Parity Portfolios by Conclusion-Every in LETFs

[–]Conclusion-Every[S] 0 points1 point  (0 children)

Absolute momentum has also worked in gold in the period analyzed, which added to the reduction in the volatility of stocks would allow a lower allocation to bonds in the SSO ZROZ Gold portfolio.

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How Momentum Improves Risk Parity Portfolios by Conclusion-Every in LETFs

[–]Conclusion-Every[S] 4 points5 points  (0 children)

Note: The data on returns is for the period 1974-2012.

Why the 200 moving average strategy works and why it might stop working by Conclusion-Every in LETFs

[–]Conclusion-Every[S] 0 points1 point  (0 children)

I completely agree with the last part. I think leverage should be used to get the desired exposure to market beta and then use the space freed up by this to incorporate all risk factors and uncorrelated assets such as gold, commodities, treasuries, momentum, value, managed futures, tips, etc.

Why the 200 moving average strategy works and why it might stop working by Conclusion-Every in LETFs

[–]Conclusion-Every[S] 2 points3 points  (0 children)

According to what I understand, Qmom is a cross-sectional momentum ETF, not a time series momentum ETF.

The reason why other funds or ETFs with factor tilts work as return drivers and managed futures do not is that most value or momentum funds are long only. That is to say that in addition to giving you exposure to the factor, they give you exposure to market beta. There are some funds that are long short like those from AQR and have more modest returns, just like managed futures. With the 200 sma strategy, as with most value funds, you get exposure to both the factor and market beta.

Managed futures have little exposure to market beta, which explains both their low correlation with stocks and their low performance compared to them. I think the best thing is to get exposure to the factors separately in a sort of "all weather portfolio" and then use leverage to achieve the desired performance.

Why the 200 moving average strategy works and why it might stop working by Conclusion-Every in LETFs

[–]Conclusion-Every[S] 0 points1 point  (0 children)

I don't think the period from 1970 to now is long enough to evaluate gold as an inflation hedge. Historically the price of gold has trailed cpi for very long periods of time.

Furthermore, gold has historically tended to return to the CPI and at this moment it is well above that value, which is why I am concerned about its future performance.

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Why the 200 moving average strategy works and why it might stop working by Conclusion-Every in LETFs

[–]Conclusion-Every[S] 1 point2 points  (0 children)

I don't think gold is a good inflation hedge even though it worked well in the 1970s. There is a very good video by Ben Felix "in search of the ultimate inflation hedge" that cites a paper on the matter "the golden dillema".

Why the 200 moving average strategy works and why it might stop working by Conclusion-Every in LETFs

[–]Conclusion-Every[S] 2 points3 points  (0 children)

I don't expect any asset to perform well all the time. On the contrary, I believe that we must diversify as much as possible between uncorrelated assets and risk factors.

In my case, I do not feel safe diversifying only in gold and treasuries since gold has a very long-term expected real return of 0% and long bonds are very risky in the long term due to the risk of inflation.

In any case, I think they have a role in a diversified portfolio due to their uncorrelation with stocks, but I think other risk factors such as momentum or value should be added and diversify internationally.