Trust For Correlations

APUE Etf

42.23 0.15 0.36%

The current 90-days correlation between Trust For Professional and iShares Dynamic Equity is 0.96 (i.e., Almost no 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.

Trust For Correlation With Market

Very poor diversification

The correlation between Trust For Professional and DJI is 0.81 (i.e., Very poor 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.

Build AI portfolio with Trust Etf

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 manufacturing.

Moving together with Trust Etf

0.76	VTI	Vanguard Total Stock	Pair Corr
0.75	SPY	SPDR SP 500	Pair Corr
0.75	IVV	iShares Core SP	Pair Corr
0.7	VIG	Vanguard Dividend	Pair Corr
0.74	VV	Vanguard Large Cap	Pair Corr
0.65	RSP	Invesco SP 500	Pair Corr
0.76	IWB	iShares Russell 1000	Pair Corr
0.74	ESGU	iShares ESG Aware	Pair Corr
0.8	DFAC	Dimensional Core Equity	Pair Corr
0.63	FB	ProShares Trust ProShares	Pair Corr
0.76	TOT	Advisor Managed Port	Pair Corr
0.85	DUKH	Ocean Park High	Pair Corr
0.64	FTBI	First Trust Exchange	Pair Corr
0.72	SMLV	SPDR SSGA Small	Pair Corr
0.81	FLCV	Federated Hermes ETF	Pair Corr
0.79	QLC	FlexShares Quality Large	Pair Corr
0.92	CSD	Invesco SP Spin	Pair Corr
0.71	QULL	ETRACS 2x Leveraged	Pair Corr
0.76	SCZ	iShares MSCI EAFE	Pair Corr
0.98	GUSA	Goldman Sachs MarketBeta	Pair Corr
0.74	VOO	Vanguard SP 500	Pair Corr
0.93	TJUL	Innovator Etfs Trust	Pair Corr
0.69	HYSD	Columbia ETF Trust	Pair Corr
0.76	QQH	HCM Defender 100	Pair Corr
0.64	ZSB	USCF Sustainable Battery	Pair Corr
0.76	ECOW	Pacer Emerging Markets	Pair Corr

Moving against Trust Etf

0.85	VXX	iPath Series B Sell-off Trend	Pair Corr
0.52	NFLX	Netflix	Pair Corr
0.41	GBTC	Grayscale Bitcoin Trust	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.66	0.54	-0.62	0.54	-0.57	0.22	-0.15	-0.56	-0.61	META
MSFT	0.66		0.83	-0.51	0.36	-0.2	0.07	-0.32	-0.77	-0.61	MSFT
UBER	0.54	0.83		-0.61	0.57	-0.27	-0.14	-0.27	-0.85	-0.59	UBER
F	-0.62	-0.51	-0.61		-0.7	0.53	0.3	0.41	0.69	0.75	F
T	0.54	0.36	0.57	-0.7		-0.52	-0.5	-0.21	-0.53	-0.47	T
A	-0.57	-0.2	-0.27	0.53	-0.52		-0.18	-0.26	0.46	0.23	A
CRM	0.22	0.07	-0.14	0.3	-0.5	-0.18		0.37	0.07	0.17	CRM
JPM	-0.15	-0.32	-0.27	0.41	-0.21	-0.26	0.37		0.32	0.41	JPM
MRK	-0.56	-0.77	-0.85	0.69	-0.53	0.46	0.07	0.32		0.65	MRK
XOM	-0.61	-0.61	-0.59	0.75	-0.47	0.23	0.17	0.41	0.65		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

UBER	+ 0.83	MSFT
XOM	+ 0.75	F
MRK	+ 0.69	F
MSFT	+ 0.66	META
XOM	+ 0.65	MRK
T	+ 0.57	UBER

High negative correlations

MRK	- 0.85	UBER
MRK	- 0.77	MSFT
T	- 0.7	F
F	- 0.62	META
F	- 0.61	UBER
XOM	- 0.61	MSFT

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	1.39	(0.24)	0.00	(0.19)	0.00	0.00	2.30	(2.72)	13.52
MSFT	0.90	(0.11)	0.00	(0.11)	0.00	0.00	1.78	(2.50)	5.08
UBER	1.46	(0.35)	0.00	(0.25)	0.00	0.00	2.60	(3.82)	10.51
F	1.51	0.13	0.08	0.16	1.69	(1.65)	3.38	(2.63)	16.30
T	0.97	(0.24)	0.00	(0.75)	0.00	0.00	1.61	(2.18)	5.75
A	1.25	0.07	0.06	0.13	1.31	(1.37)	2.34	(2.21)	11.03
CRM	1.54	0.06	0.03	0.13	1.97	(1.52)	3.66	(2.92)	9.91
JPM	1.05	0.00	0.01	0.07	1.40	(1.05)	2.00	(1.91)	7.02
MRK	1.45	0.40	0.28	0.53	1.08	(1.84)	4.85	(2.06)	11.45
XOM	0.94	0.06	0.01	0.33	0.99	(1.00)	1.96	(1.51)	4.99

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