Spinnaker ETF Correlations

OOSP Etf

10.15 0.00 0.00%

The current 90-days correlation between Spinnaker ETF Series and Columbia Diversified Fixed is 0.25 (i.e., Modest diversification). The correlation of Spinnaker 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. If the correlation is 0, the equities are not correlated; they are entirely random.

Spinnaker ETF Correlation With Market

Good diversification

The correlation between Spinnaker ETF Series and DJI is -0.03 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Spinnaker ETF Series and DJI in the same portfolio, assuming nothing else is changed.

Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in Spinnaker ETF Series. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in state.

Moving together with Spinnaker Etf

0.7	AXSAX	Axonic Strategic Income	Pair Corr
0.75	AXSIX	Axonic Strategic Income	Pair Corr
0.9	JPIE	JP Morgan Exchange	Pair Corr
0.93	AFIF	Anfield Universal Fixed	Pair Corr
0.66	BITX	Volatility Shares Trust	Pair Corr
0.67	TSLL	Direxion Shares ETF	Pair Corr
0.67	TSLR	GraniteShares 175x Long	Pair Corr
0.85	VCAR	Simplify Volt RoboCar Symbol Change	Pair Corr
0.67	TSLT	T REX 2X	Pair Corr
0.77	BTCO	Invesco Galaxy Bitcoin	Pair Corr
0.8	WMT	Walmart Aggressive Push	Pair Corr
0.86	AXP	American Express	Pair Corr
0.79	BA	Boeing	Pair Corr
0.8	CSCO	Cisco Systems	Pair Corr
0.76	MMM	3M Company	Pair Corr

Moving against Spinnaker Etf

0.62	NVDL	GraniteShares 15x Long	Pair Corr
0.79	HPQ	HP Inc	Pair Corr
0.73	JNJ	Johnson Johnson	Pair Corr
0.73	XOM	Exxon Mobil Corp Fiscal Year End 7th of February 2025	Pair Corr
0.67	AA	Alcoa Corp	Pair Corr
0.54	KO	Coca Cola Earnings Call This Week	Pair Corr
0.51	MCD	McDonalds Earnings Call This Week	Pair Corr
0.48	TRV	The Travelers Companies	Pair Corr
0.48	VZ	Verizon Communications	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.62	-0.43	-0.5	0.58	0.77	0.5	0.62	-0.15	-0.63	META
MSFT	0.62		-0.46	-0.23	0.48	0.4	0.6	0.3	-0.01	-0.46	MSFT
UBER	-0.43	-0.46		0.65	-0.3	-0.2	-0.71	-0.25	0.31	0.78	UBER
F	-0.5	-0.23	0.65		0.05	-0.32	-0.17	-0.06	0.09	0.9	F
T	0.58	0.48	-0.3	0.05		0.41	0.67	0.59	-0.17	-0.17	T
A	0.77	0.4	-0.2	-0.32	0.41		0.25	0.72	-0.21	-0.39	A
CRM	0.5	0.6	-0.71	-0.17	0.67	0.25		0.5	-0.29	-0.41	CRM
JPM	0.62	0.3	-0.25	-0.06	0.59	0.72	0.5		-0.55	-0.24	JPM
MRK	-0.15	-0.01	0.31	0.09	-0.17	-0.21	-0.29	-0.55		0.16	MRK
XOM	-0.63	-0.46	0.78	0.9	-0.17	-0.39	-0.41	-0.24	0.16		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

XOM	+ 0.9	F
XOM	+ 0.78	UBER
A	+ 0.77	META
JPM	+ 0.72	A
CRM	+ 0.67	T
F	+ 0.65	UBER

High negative correlations

CRM	- 0.71	UBER
XOM	- 0.63	META
MRK	- 0.55	JPM
F	- 0.5	META
XOM	- 0.46	MSFT
UBER	- 0.46	MSFT

Spinnaker ETF Competition Risk-Adjusted Indicators

There is a big difference between Spinnaker Etf performing well and Spinnaker 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 Spinnaker 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
META	1.41	0.26	0.13	0.73	1.40	(1.61)	3.43	(2.31)	7.43
MSFT	1.12	(0.03)	0.00	(0.42)	0.00	0.00	2.20	(2.79)	7.31
UBER	1.56	(0.23)	0.00	(3.08)	0.00	0.00	2.67	(5.35)	12.29
F	1.47	(0.18)	0.00	(0.20)	0.00	0.00	2.57	(2.90)	11.21
T	1.00	0.10	0.04	0.30	1.08	(1.12)	1.91	(1.84)	7.94
A	1.20	0.19	0.11	0.48	1.06	(1.46)	2.92	(2.16)	8.06
CRM	1.51	0.34	0.15	2.71	1.42	(1.76)	3.70	(2.88)	14.80
JPM	1.05	0.25	0.15	0.96	1.05	(1.23)	1.92	(1.42)	15.87
MRK	1.03	(0.11)	0.00	(0.43)	0.00	0.00	2.00	(2.13)	5.24
XOM	0.82	(0.16)	0.00	(0.28)	0.00	0.00	1.71	(1.74)	6.06

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