National Security Correlations

NSI Etf

33.25 0.08 0.24%

The current 90-days correlation between National Security and Virtus ETF Trust is 0.79 (i.e., Poor diversification). The correlation of National Security 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.

National Security Correlation With Market

Very weak diversification

The correlation between National Security Emerging and DJI is 0.56 (i.e., Very weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding National Security Emerging and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with National Etf

Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in National Security Emerging. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as various price indices.

Moving together with National Etf

0.98	VWO	Vanguard FTSE Emerging	Pair Corr
0.99	IEMG	iShares Core MSCI	Pair Corr
0.82	EMC	Global X Funds	Pair Corr
0.89	EEM	iShares MSCI Emerging	Pair Corr
0.98	SPEM	SPDR Portfolio Emerging	Pair Corr
0.98	FNDE	Schwab Fundamental	Pair Corr
0.99	ESGE	iShares ESG Aware	Pair Corr
0.96	SFGRX	Seafarer Overseas	Pair Corr
0.99	XSOE	WisdomTree Emerging	Pair Corr
0.86	LENS	Sarmaya Thematic ETF	Pair Corr
0.98	MAPP	Harbor ETF Trust	Pair Corr
0.82	ASA	ASA Gold	Pair Corr
0.67	WNTR	YieldMax MSTR Short	Pair Corr
0.61	DRGN	Themes China Generative	Pair Corr
0.83	YFYA	Listed Funds Trust	Pair Corr
0.82	CAT	Caterpillar	Pair Corr
0.85	IBM	International Business	Pair Corr
0.72	AXP	American Express	Pair Corr
0.81	INTC	Intel	Pair Corr
0.68	CSCO	Cisco Systems Aggressive Push	Pair Corr
0.65	JNJ	Johnson Johnson	Pair Corr
0.84	GE	GE Aerospace	Pair Corr

Moving against National Etf

0.67	FIEE	FiEE, Inc Symbol Change	Pair Corr
0.31	SWIN	Alps Symbol Change	Pair Corr
0.76	T	ATT Inc Aggressive Push	Pair Corr
0.76	PG	Procter Gamble	Pair Corr
0.74	VZ	Verizon Communications Aggressive Push	Pair Corr
0.62	HD	Home Depot Earnings Call This Week	Pair Corr
0.36	HPQ	HP Inc	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.12	0.24	-0.73	0.74	-0.72	-0.06	-0.47	-0.57	-0.57	META
MSFT	0.12		0.35	0.28	-0.43	0.37	0.18	0.12	0.24	0.12	MSFT
UBER	0.24	0.35		-0.11	0.08	-0.17	-0.02	0.38	-0.31	0.08	UBER
F	-0.73	0.28	-0.11		-0.76	0.8	0.27	0.47	0.61	0.7	F
T	0.74	-0.43	0.08	-0.76		-0.92	-0.23	-0.38	-0.59	-0.52	T
A	-0.72	0.37	-0.17	0.8	-0.92		0.24	0.43	0.69	0.6	A
CRM	-0.06	0.18	-0.02	0.27	-0.23	0.24		-0.18	0.04	0.12	CRM
JPM	-0.47	0.12	0.38	0.47	-0.38	0.43	-0.18		0.03	0.69	JPM
MRK	-0.57	0.24	-0.31	0.61	-0.59	0.69	0.04	0.03		0.35	MRK
XOM	-0.57	0.12	0.08	0.7	-0.52	0.6	0.12	0.69	0.35		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

A	+ 0.8	F
T	+ 0.74	META
XOM	+ 0.7	F
MRK	+ 0.69	A
XOM	+ 0.69	JPM
MRK	+ 0.61	F

High negative correlations

A	- 0.92	T
T	- 0.76	F
F	- 0.73	META
A	- 0.72	META
MRK	- 0.59	T
XOM	- 0.57	META

National Security Competition Risk-Adjusted Indicators

There is a big difference between National Etf performing well and National Security 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 National Security'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	1.28	(0.43)	0.00	(0.40)	0.00	0.00	1.87	(2.72)	13.52
MSFT	0.78	(0.09)	0.00	(0.05)	0.00	0.00	1.85	(1.98)	5.08
UBER	1.43	(0.05)	(0.03)	0.01	1.81	(1.55)	3.34	(2.71)	9.09
F	1.38	0.15	0.11	0.17	1.46	(1.62)	3.66	(1.73)	16.30
T	0.97	(0.18)	0.00	(0.67)	0.00	0.00	1.84	(2.32)	6.25
A	1.30	0.24	0.18	0.25	1.07	(1.46)	3.82	(2.15)	11.03
CRM	1.55	0.01	0.01	0.08	2.21	(1.47)	3.59	(3.61)	9.91
JPM	0.86	(0.02)	(0.01)	0.05	1.30	(0.79)	1.67	(1.91)	5.76
MRK	1.22	0.15	0.10	0.30	1.14	(1.48)	1.80	(2.36)	11.45
XOM	0.88	0.16	0.09	0.63	1.04	(0.87)	1.78	(1.93)	4.71

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

2025 Macroaxis LLC