Harbor All Correlations

HGER Etf

USD 25.67 0.30 1.18%

The current 90-days correlation between Harbor All Weather and iShares GSCI Commodity is 0.79 (i.e., Poor diversification). The correlation of Harbor All 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. If the correlation is 0, the equities are not correlated; they are entirely random.

Harbor All Correlation With Market

Modest diversification

The correlation between Harbor All Weather Inflation and DJI is 0.26 (i.e., Modest diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Harbor All Weather Inflation and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with Harbor Etf

Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in Harbor All Weather Inflation. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in manufacturing.

Moving together with Harbor Etf

0.88	PDBC	Invesco Optimum Yield	Pair Corr
0.75	FTGC	First Trust Global	Pair Corr
0.72	DBC	Invesco DB Commodity	Pair Corr
0.77	COMT	iShares GSCI Commodity	Pair Corr
0.73	DJP	iPath Bloomberg Commodity	Pair Corr
0.73	BCI	abrdn Bloomberg All	Pair Corr
0.72	CMDY	iShares Bloomberg Roll	Pair Corr
0.88	COMB	GraniteShares Bloomberg	Pair Corr
0.71	GCC	WisdomTree Continuous	Pair Corr
0.63	AMPD	Tidal ETF Services	Pair Corr
0.69	RFDI	First Trust RiverFront	Pair Corr
0.63	FTBI	First Trust Exchange	Pair Corr
0.65	NVBU	AllianzIM Equity Buffer15	Pair Corr
0.67	SLX	VanEck Steel ETF	Pair Corr
0.67	SPDW	SPDR SP World	Pair Corr
0.61	JEPI	JPMorgan Equity Premium	Pair Corr
0.71	DJD	Invesco Dow Jones	Pair Corr
0.69	IXUS	iShares Core MSCI	Pair Corr
0.64	SPY	SPDR SP 500	Pair Corr
0.72	HAP	VanEck Natural Resources	Pair Corr
0.7	FGD	First Trust Dow	Pair Corr
0.62	EEMX	SPDR MSCI Emerging	Pair Corr
0.7	INOV	Innovator ETFs Trust	Pair Corr
0.72	FNDF	Schwab Fundamental	Pair Corr
0.65	IEMG	iShares Core MSCI	Pair Corr
0.66	SHE	SPDR SSGA Gender	Pair Corr

Moving against Harbor Etf

0.54	ELON	Battleshares TSLA	Pair Corr
0.53	MPAY	Exchange Traded Concepts	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.62	0.37	-0.51	0.31	-0.31	0.32	-0.24	-0.36	-0.46	META
MSFT	0.62		0.84	-0.53	0.45	-0.02	-0.03	-0.52	-0.82	-0.65	MSFT
UBER	0.37	0.84		-0.54	0.5	0.22	-0.23	-0.53	-0.82	-0.62	UBER
F	-0.51	-0.53	-0.54		-0.69	0.17	0.33	0.65	0.68	0.78	F
T	0.31	0.45	0.5	-0.69		0.24	-0.62	-0.72	-0.47	-0.6	T
A	-0.31	-0.02	0.22	0.17	0.24		-0.48	-0.19	0.02	0.01	A
CRM	0.32	-0.03	-0.23	0.33	-0.62	-0.48		0.55	0.27	0.32	CRM
JPM	-0.24	-0.52	-0.53	0.65	-0.72	-0.19	0.55		0.7	0.71	JPM
MRK	-0.36	-0.82	-0.82	0.68	-0.47	0.02	0.27	0.7		0.8	MRK
XOM	-0.46	-0.65	-0.62	0.78	-0.6	0.01	0.32	0.71	0.8		XOM
	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM

Please upgrade your account to get full access to Macroaxis premium features

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

UBER	+ 0.84	MSFT
XOM	+ 0.8	MRK
XOM	+ 0.78	F
XOM	+ 0.71	JPM
MRK	+ 0.7	JPM
MRK	+ 0.68	F

High negative correlations

MRK	- 0.82	UBER
MRK	- 0.82	MSFT
JPM	- 0.72	T
T	- 0.69	F
XOM	- 0.65	MSFT
CRM	- 0.62	T

Harbor All Competition Risk-Adjusted Indicators

There is a big difference between Harbor Etf performing well and Harbor All 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 Harbor All'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
META	1.37	(0.24)	0.00	(0.16)	0.00	0.00	2.30	(2.72)	13.52
MSFT	0.91	(0.19)	0.00	(0.29)	0.00	0.00	1.65	(2.50)	4.90
UBER	1.53	(0.32)	0.00	(0.22)	0.00	0.00	2.60	(3.82)	10.23
F	1.44	0.27	0.14	1.03	1.32	(1.68)	3.38	(2.35)	16.30
T	0.88	(0.12)	0.00	5.02	0.00	0.00	1.63	(1.85)	5.74
A	1.12	(0.02)	(0.01)	0.07	1.28	(1.20)	2.34	(2.22)	6.50
CRM	1.52	0.05	0.02	0.15	1.89	(1.56)	3.66	(2.92)	9.91
JPM	1.12	(0.01)	0.01	0.08	1.44	(1.17)	2.34	(2.28)	7.02
MRK	1.21	0.30	0.22	0.46	1.04	(1.52)	3.59	(1.98)	8.09
XOM	1.04	0.11	0.04	0.43	1.07	(1.15)	2.21	(1.93)	5.82

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

2026 Macroaxis LLC