Macquarie ETF Correlations

BILD Etf

25.86 0.06 0.23%

The current 90-days correlation between Macquarie ETF Trust and iShares Infrastructure ETF is 0.28 (i.e., Modest diversification). The correlation of Macquarie ETF is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.

Macquarie ETF Correlation With Market

Average diversification

The correlation between Macquarie ETF Trust and DJI is 0.1 (i.e., Average diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Macquarie ETF Trust and DJI in the same portfolio, assuming nothing else is changed.

Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Macquarie ETF Trust. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in bureau of economic analysis.

Moving together with Macquarie Etf

0.78	NFRA	FlexShares STOXX Global	Pair Corr
0.99	INFR	ClearBridge Sustainable	Pair Corr
0.95	BLLD	JP Morgan Exchange	Pair Corr
0.81	YCL	ProShares Ultra Yen	Pair Corr
0.65	VIIX	VIIX	Pair Corr
0.76	ULE	ProShares Ultra Euro	Pair Corr
0.83	FXY	Invesco CurrencyShares	Pair Corr
0.9	KO	Coca Cola Aggressive Push	Pair Corr
0.78	PFE	Pfizer Inc Fiscal Year End 4th of February 2025	Pair Corr
0.81	MRK	Merck Company Fiscal Year End 6th of February 2025	Pair Corr

Moving against Macquarie Etf

0.76	STCE	Schwab Strategic Trust	Pair Corr
0.67	TSJA	TSJA	Pair Corr
0.63	DSJA	DSJA	Pair Corr
0.6	PAVE	Global X Infrastructure Low Volatility	Pair Corr
0.6	XKII	SPDR Kensho Intelligent	Pair Corr
0.59	SIXD	AIM ETF Products	Pair Corr
0.56	SIMS	SPDR SP Kensho	Pair Corr
0.56	SPY	SPDR SP 500	Pair Corr
0.55	IFRA	iShares Infrastructure Low Volatility	Pair Corr
0.84	JPM	JPMorgan Chase Fiscal Year End 10th of January 2025	Pair Corr
0.77	CVX	Chevron Corp Fiscal Year End 7th of February 2025	Pair Corr
0.76	BAC	Bank of America Fiscal Year End 10th of January 2025	Pair Corr
0.6	DIS	Walt Disney Aggressive Push	Pair Corr
0.56	VOO	Vanguard SP 500	Pair Corr
0.54	HPQ	HP Inc	Pair Corr
0.54	AA	Alcoa Corp Fiscal Year End 15th of January 2025	Pair Corr
0.52	PPA	Invesco Aerospace Defense	Pair Corr
0.48	WMT	Walmart Aggressive Push	Pair Corr
0.46	XOM	Exxon Mobil Corp Aggressive Push	Pair Corr
0.37	TRV	The Travelers Companies Fiscal Year End 17th of January 2025	Pair Corr
0.32	CAT	Caterpillar Fiscal Year End 3rd of February 2025	Pair Corr

Related Correlations Analysis

	IFRA	CLOU	BUG	PEJ	ICLN
IFRA		0.92	0.84	0.97	-0.76	IFRA
CLOU	0.92		0.89	0.97	-0.86	CLOU
BUG	0.84	0.89		0.85	-0.75	BUG
PEJ	0.97	0.97	0.85		-0.85	PEJ
ICLN	-0.76	-0.86	-0.75	-0.85		ICLN
	IFRA	CLOU	BUG	PEJ	ICLN

Click cells to compare fundamentals

Check Volatility

Backtest Portfolio

Correlation Matchups

Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.

High positive correlations

PEJ	+ 0.97	IFRA
PEJ	+ 0.97	CLOU
CLOU	+ 0.92	IFRA
BUG	+ 0.89	CLOU
PEJ	+ 0.85	BUG
BUG	+ 0.84	IFRA

High negative correlations

ICLN	- 0.86	CLOU
ICLN	- 0.85	PEJ
ICLN	- 0.76	IFRA
ICLN	- 0.75	BUG

Macquarie ETF Constituents Risk-Adjusted Indicators

There is a big difference between Macquarie Etf performing well and Macquarie ETF ETF doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze Macquarie ETF's multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.

	Mean Deviation	Jensen Alpha	Sortino Ratio	Treynor Ratio	Semi Deviation	Expected Shortfall	Potential Upside	Value @Risk	Maximum Drawdown
IFRA	0.72	0.09	0.13	0.17	0.53	(0.81)	1.97	(0.93)	5.85
CLOU	0.91	0.14	0.13	0.21	0.83	(1.04)	2.34	(1.65)	5.33
BUG	0.88	(0.02)	0.00	0.07	1.10	(0.87)	1.77	(1.91)	5.80
PEJ	0.75	0.13	0.18	0.20	0.56	(0.90)	1.68	(1.14)	5.98
ICLN	1.05	(0.23)	0.00	1.70	0.00	0.00	2.01	(2.44)	10.86

Macroaxis helps investors of all levels and skills to maximize the upside of all their holdings and minimize the risk associated with market volatility, economic swings, and company-specific events. View terms and conditions

Feedback Blog

Made with optimal in San Francisco

2024 Macroaxis LLC