Trust For Correlations

APMU Etf

24.74 0.01 0.04%

The current 90-days correlation between Trust For Professional and Innovator Premium Income is -0.04 (i.e., Good diversification). The correlation of Trust For 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.

Trust For Correlation With Market

Modest diversification

The correlation between Trust For Professional and DJI is 0.23 (i.e., Modest diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Trust For Professional 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 Trust For Professional. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in population.

Moving together with Trust Etf

0.87	MUB	iShares National Muni Sell-off Trend	Pair Corr
0.87	VTEB	Vanguard Tax Exempt Sell-off Trend	Pair Corr
0.95	FMB	First Trust Managed	Pair Corr
0.86	ITM	VanEck Intermediate Muni	Pair Corr
0.99	MMIT	IQ MacKay Municipal	Pair Corr
0.97	HMOP	Hartford Municipal	Pair Corr
0.81	TAXF	American Century Div	Pair Corr
0.98	JMUB	JPMorgan Municipal	Pair Corr
0.86	MUST	Columbia Multi Sector	Pair Corr
0.94	MINO	PIMCO ETF Trust	Pair Corr
0.85	FXY	Invesco CurrencyShares	Pair Corr
0.85	PMBS	PIMCO Mortgage Backed	Pair Corr
0.62	GDXU	MicroSectors Gold Miners	Pair Corr
0.86	JNJ	Johnson Johnson Sell-off Trend	Pair Corr
0.74	GE	GE Aerospace	Pair Corr
0.75	VZ	Verizon Communications	Pair Corr
0.69	CSCO	Cisco Systems	Pair Corr
0.79	PG	Procter Gamble	Pair Corr
0.64	MMM	3M Company	Pair Corr
0.82	T	ATT Inc Sell-off Trend	Pair Corr
0.71	MCD	McDonalds	Pair Corr

Moving against Trust Etf

0.71	AMPD	Tidal Trust II	Pair Corr
0.65	WGMI	Valkyrie Bitcoin Miners	Pair Corr
0.65	AA	Alcoa Corp	Pair Corr
0.61	MRK	Merck Company	Pair Corr
0.5	CAT	Caterpillar	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.08	0.46	-0.53	0.3	0.41	0.28	0.9	-0.74	-0.03	META
MSFT	0.08		-0.53	0.02	-0.67	0.81	0.68	0.35	0.27	-0.35	MSFT
UBER	0.46	-0.53		-0.39	0.63	-0.34	-0.33	0.33	-0.74	0.38	UBER
F	-0.53	0.02	-0.39		0.0	-0.05	-0.16	-0.37	0.51	0.36	F
T	0.3	-0.67	0.63	0.0		-0.51	-0.71	0.16	-0.65	0.6	T
A	0.41	0.81	-0.34	-0.05	-0.51		0.64	0.64	0.07	-0.23	A
CRM	0.28	0.68	-0.33	-0.16	-0.71	0.64		0.36	0.23	-0.61	CRM
JPM	0.9	0.35	0.33	-0.37	0.16	0.64	0.36		-0.63	0.06	JPM
MRK	-0.74	0.27	-0.74	0.51	-0.65	0.07	0.23	-0.63		-0.32	MRK
XOM	-0.03	-0.35	0.38	0.36	0.6	-0.23	-0.61	0.06	-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

JPM	+ 0.9	META
A	+ 0.81	MSFT
CRM	+ 0.68	MSFT
CRM	+ 0.64	A
JPM	+ 0.64	A
T	+ 0.63	UBER

High negative correlations

MRK	- 0.74	UBER
MRK	- 0.74	META
CRM	- 0.71	T
T	- 0.67	MSFT
MRK	- 0.65	T
MRK	- 0.63	JPM

Trust For Competition Risk-Adjusted Indicators

There is a big difference between Trust Etf performing well and Trust For 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 Trust For'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	1.63	0.04	0.02	0.00	2.27	(1.46)	2.96	(3.73)	8.90
MSFT	1.11	(0.18)	0.00	5.95	0.00	0.00	2.58	(2.14)	10.31
UBER	1.95	0.38	0.17	23.98	2.11	(2.17)	4.72	(3.13)	12.75
F	1.44	0.14	0.06	0.09	2.12	(1.42)	2.71	(2.88)	10.14
T	0.99	0.29	0.19	0.56	1.43	(1.11)	1.90	(1.55)	11.66
A	1.15	(0.18)	0.00	4.17	0.00	0.00	2.92	(2.59)	9.03
CRM	1.40	(0.29)	0.00	(0.29)	0.00	0.00	2.72	(3.81)	8.88
JPM	1.14	0.10	0.05	0.05	1.76	(1.09)	2.16	(3.35)	6.85
MRK	1.16	(0.11)	0.00	1.03	0.00	0.00	2.07	(1.80)	11.58
XOM	1.03	0.13	0.10	0.27	1.28	(1.06)	2.55	(2.36)	5.89

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