Axonic Strategic Correlations

AXSAX Etf

USD 8.77 0.01 0.11%

The current 90-days correlation between Axonic Strategic Income and Axonic Strategic Income is 0.92 (i.e., Almost no diversification). The correlation of Axonic Strategic 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.

Axonic Strategic Correlation With Market

Good diversification

The correlation between Axonic Strategic Income and DJI is -0.09 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Axonic Strategic Income 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 Axonic Strategic Income. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in nation.

Moving together with Axonic Etf

0.99	AXSIX	Axonic Strategic Income	Pair Corr
0.63	SMCVX	ALPSSmith Credit Opp	Pair Corr
0.66	SMCAX	DEUTSCHE MID CAP	Pair Corr
0.81	JPIE	JP Morgan Exchange	Pair Corr
0.8	AFIF	Anfield Universal Fixed	Pair Corr
0.69	FNGU	MicroSectors FANG Index	Pair Corr
0.64	BITX	Volatility Shares Trust Buyout Trend	Pair Corr
0.63	VCAR	Simplify Volt RoboCar Symbol Change	Pair Corr
0.73	ARKW	ARK Next Generation	Pair Corr
0.63	NA	Nano Labs	Pair Corr
0.7	FNGS	MicroSectors FANG ETN	Pair Corr
0.67	VGT	Vanguard Information	Pair Corr
0.81	RTH	VanEck Retail ETF	Pair Corr
0.78	SPTS	SPDR Barclays Short	Pair Corr
0.71	BWEB	Bitwise Funds Trust	Pair Corr
0.62	XDJA	Innovator ETFs Trust	Pair Corr
0.76	ETH	Grayscale Ethereum Mini Buyout Trend	Pair Corr
0.66	IYW	iShares Technology ETF	Pair Corr
0.66	IBIT	iShares Bitcoin Trust Aggressive Push	Pair Corr
0.66	FBTC	Fidelity Wise Origin Low Volatility	Pair Corr

Moving against Axonic Etf

0.4	NVDX	T Rex 2X Buyout Trend	Pair Corr
0.33	NVDL	GraniteShares 15x Long Buyout Trend	Pair Corr
0.32	NVDU	Direxion Daily NVDA	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.73	-0.57	-0.59	0.32	0.57	0.53	0.34	-0.06	-0.67	META
MSFT	0.73		-0.53	-0.24	0.56	0.23	0.65	0.25	-0.1	-0.47	MSFT
UBER	-0.57	-0.53		0.64	-0.58	-0.08	-0.78	-0.56	0.67	0.81	UBER
F	-0.59	-0.24	0.64		0.01	-0.25	-0.2	-0.07	0.2	0.9	F
T	0.32	0.56	-0.58	0.01		0.0	0.8	0.59	-0.45	-0.23	T
A	0.57	0.23	-0.08	-0.25	0.0		0.12	0.22	0.32	-0.19	A
CRM	0.53	0.65	-0.78	-0.2	0.8	0.12		0.7	-0.59	-0.44	CRM
JPM	0.34	0.25	-0.56	-0.07	0.59	0.22	0.7		-0.62	-0.25	JPM
MRK	-0.06	-0.1	0.67	0.2	-0.45	0.32	-0.59	-0.62		0.32	MRK
XOM	-0.67	-0.47	0.81	0.9	-0.23	-0.19	-0.44	-0.25	0.32		XOM
	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM

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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	+ 0.81	UBER
CRM	+ 0.8	T
MSFT	+ 0.73	META
JPM	+ 0.7	CRM
MRK	+ 0.67	UBER

High negative correlations

CRM	- 0.78	UBER
XOM	- 0.67	META
MRK	- 0.62	JPM
MRK	- 0.59	CRM
F	- 0.59	META
T	- 0.58	UBER

Axonic Strategic Constituents Risk-Adjusted Indicators

There is a big difference between Axonic Etf performing well and Axonic Strategic 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 Axonic Strategic'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	1.36	0.06	0.03	0.21	1.51	(1.56)	3.43	(3.15)	7.43
MSFT	0.92	0.04	0.01	1.07	1.58	(0.87)	2.09	(1.73)	8.14
UBER	1.63	(0.33)	0.00	(26.89)	0.00	0.00	2.67	(5.35)	12.29
F	1.38	(0.08)	0.00	(0.17)	0.00	0.00	2.38	(2.81)	11.21
T	0.97	0.08	0.06	0.24	1.10	(1.04)	1.91	(1.84)	7.96
A	1.21	0.03	0.01	0.09	1.45	(1.33)	2.72	(2.42)	8.06
CRM	1.41	0.17	0.10	0.79	1.45	(1.59)	3.16	(2.88)	14.80
JPM	1.03	0.25	0.17	1.11	1.11	(1.17)	1.92	(1.42)	15.87
MRK	1.00	(0.17)	0.00	(0.68)	0.00	0.00	1.74	(2.17)	5.17
XOM	0.76	(0.15)	0.00	(0.37)	0.00	0.00	1.71	(1.67)	6.06

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