Northern Lights Correlations

DUKQ Etf

25.38 0.05 0.20%

The current 90-days correlation between Northern Lights and Strategy Shares is -0.26 (i.e., Very good diversification). The correlation of Northern Lights 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.

Northern Lights Correlation With Market

Good diversification

The correlation between Northern Lights and DJI is -0.06 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Northern Lights and DJI in the same portfolio, assuming nothing else is changed.

Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Northern Lights. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in industry.

To learn how to invest in Northern Etf, please use our How to Invest in Northern Lights guide.

Moving together with Northern Etf

0.69	VTI	Vanguard Total Stock	Pair Corr
0.77	SPY	SPDR SP 500	Pair Corr
0.77	IVV	iShares Core SP Sell-off Trend	Pair Corr
0.99	VV	Vanguard Large Cap	Pair Corr
0.88	RSP	Invesco SP 500	Pair Corr
0.99	IWB	iShares Russell 1000	Pair Corr
1.0	ESGU	iShares ESG Aware	Pair Corr
1.0	DFAC	Dimensional Core Equity	Pair Corr
0.99	SPLG	SPDR Portfolio SP	Pair Corr
0.71	FNGO	MicroSectors FANG Index	Pair Corr
0.71	FNGU	MicroSectors FANG Index Symbol Change	Pair Corr
0.66	FCG	First Trust Natural	Pair Corr
0.67	GUSH	Direxion Daily SP	Pair Corr
0.61	DUSL	Direxion Daily Indus	Pair Corr
0.73	BA	Boeing	Pair Corr
0.86	AXP	American Express Sell-off Trend	Pair Corr
0.78	JPM	JPMorgan Chase	Pair Corr
0.8	BAC	Bank of America Sell-off Trend	Pair Corr
0.62	WMT	Walmart Aggressive Push	Pair Corr

Moving against Northern Etf

0.44	PG	Procter Gamble	Pair Corr
0.43	MCD	McDonalds	Pair Corr
0.41	KO	Coca Cola	Pair Corr
0.31	T	ATT Inc Earnings Call This Week	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		-0.07	0.61	-0.52	0.35	0.4	0.23	0.9	-0.75	0.03	META
MSFT	-0.07		-0.63	0.16	-0.79	0.68	0.89	0.07	0.46	-0.47	MSFT
UBER	0.61	-0.63		-0.4	0.8	-0.24	-0.54	0.55	-0.85	0.5	UBER
F	-0.52	0.16	-0.4		-0.1	0.01	-0.01	-0.39	0.58	0.29	F
T	0.35	-0.79	0.8	-0.1		-0.56	-0.7	0.2	-0.66	0.55	T
A	0.4	0.68	-0.24	0.01	-0.56		0.77	0.61	0.11	-0.25	A
CRM	0.23	0.89	-0.54	-0.01	-0.7	0.77		0.3	0.26	-0.52	CRM
JPM	0.9	0.07	0.55	-0.39	0.2	0.61	0.3		-0.64	0.09	JPM
MRK	-0.75	0.46	-0.85	0.58	-0.66	0.11	0.26	-0.64		-0.3	MRK
XOM	0.03	-0.47	0.5	0.29	0.55	-0.25	-0.52	0.09	-0.3		XOM
	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM

Click cells to compare fundamentals

Check Volatility

Backtest Portfolio

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

JPM	+ 0.9	META
CRM	+ 0.89	MSFT
T	+ 0.8	UBER
CRM	+ 0.77	A
A	+ 0.68	MSFT
UBER	+ 0.61	META

High negative correlations

MRK	- 0.85	UBER
T	- 0.79	MSFT
MRK	- 0.75	META
CRM	- 0.7	T
MRK	- 0.66	T
MRK	- 0.64	JPM

Northern Lights Competition Risk-Adjusted Indicators

There is a big difference between Northern Etf performing well and Northern Lights 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 Northern Lights' 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	1.59	(0.03)	0.00	(0.10)	0.00	0.00	2.57	(3.73)	8.90
MSFT	1.10	(0.17)	0.00	(0.32)	0.00	0.00	2.58	(2.14)	10.31
UBER	1.89	0.35	0.16	0.60	2.15	(2.04)	4.72	(3.13)	12.75
F	1.47	0.08	0.03	0.00	2.22	(1.39)	2.71	(2.89)	10.14
T	1.05	0.27	0.17	0.42	1.61	(1.12)	1.90	(1.75)	11.66
A	1.16	(0.17)	0.00	(0.26)	0.00	0.00	2.92	(2.59)	9.03
CRM	1.38	(0.29)	0.00	(0.33)	0.00	0.00	2.72	(3.81)	8.88
JPM	1.10	0.07	0.04	(0.01)	1.72	(1.04)	1.99	(3.35)	6.85
MRK	1.15	(0.08)	0.00	1.02	0.00	0.00	2.07	(1.80)	11.58
XOM	1.07	0.10	0.10	0.15	1.40	(1.08)	2.55	(2.36)	5.89

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