US High Correlations

HISU-U Etf

100.21 0.01 0.01%

The current 90-days correlation between US High Interest and Purpose Bitcoin Yield is -0.13 (i.e., Good diversification). The correlation of US High 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.

US High Correlation With Market

Very poor diversification

The correlation between US High Interest and DJI is 0.82 (i.e., Very poor diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding US High Interest and DJI in the same portfolio, assuming nothing else is changed.

The ability to find closely correlated positions to US High could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace US High when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back US High - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling US High Interest to buy it.

Moving together with HISU-U Etf

0.95	XIU	iShares SPTSX 60	Pair Corr
0.95	XIC	iShares Core SPTSX	Pair Corr
0.95	ZCN	BMO SPTSX Capped	Pair Corr
0.97	ZEB	BMO SPTSX Equal	Pair Corr
0.93	ZUB	BMO Equal Weight	Pair Corr
0.95	ZBK	BMO Equal Weight	Pair Corr
0.94	CALL	Evolve Banks Enhanced	Pair Corr
0.95	ZWK	BMO Covered Call	Pair Corr
0.95	CALL-B	Evolve Banks Enhanced	Pair Corr

Moving against HISU-U Etf

0.81	TCLB	TD Canadian Long	Pair Corr
0.69	CBCX	CI Galaxy Blockchain	Pair Corr
0.68	HBLK	Blockchain Technologies	Pair Corr
0.61	ZAG	BMO Aggregate Bond	Pair Corr
0.61	XBB	iShares Canadian Universe	Pair Corr
0.35	FHE	First Trust Indxx	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.58	0.29	-0.3	0.2	-0.12	0.52	-0.1	-0.31	-0.38	META
MSFT	0.58		0.78	-0.55	0.52	0.21	0.32	-0.3	-0.84	-0.75	MSFT
UBER	0.29	0.78		-0.46	0.42	0.42	-0.02	-0.43	-0.8	-0.51	UBER
F	-0.3	-0.55	-0.46		-0.66	-0.08	0.11	0.63	0.69	0.64	F
T	0.2	0.52	0.42	-0.66		0.5	-0.23	-0.47	-0.5	-0.64	T
A	-0.12	0.21	0.42	-0.08	0.5		-0.38	-0.25	-0.21	-0.3	A
CRM	0.52	0.32	-0.02	0.11	-0.23	-0.38		0.53	-0.06	-0.27	CRM
JPM	-0.1	-0.3	-0.43	0.63	-0.47	-0.25	0.53		0.53	0.28	JPM
MRK	-0.31	-0.84	-0.8	0.69	-0.5	-0.21	-0.06	0.53		0.76	MRK
XOM	-0.38	-0.75	-0.51	0.64	-0.64	-0.3	-0.27	0.28	0.76		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	+ 0.78	MSFT
XOM	+ 0.76	MRK
MRK	+ 0.69	F
XOM	+ 0.64	F
JPM	+ 0.63	F
MSFT	+ 0.58	META

High negative correlations

MRK	- 0.84	MSFT
MRK	- 0.8	UBER
XOM	- 0.75	MSFT
T	- 0.66	F
XOM	- 0.64	T
F	- 0.55	MSFT

US High Competition Risk-Adjusted Indicators

There is a big difference between HISU-U Etf performing well and US High 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 US High'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	1.42	(0.24)	0.00	(0.13)	0.00	0.00	3.16	(2.67)	13.46
MSFT	1.01	(0.23)	0.00	(0.50)	0.00	0.00	1.65	(2.50)	4.90
UBER	1.48	(0.23)	0.00	(0.20)	0.00	0.00	2.60	(3.82)	10.23
F	1.49	0.10	0.10	0.16	1.32	(1.82)	3.69	(2.35)	16.30
T	0.88	(0.19)	0.00	(0.46)	0.00	0.00	1.53	(1.85)	4.30
A	1.19	(0.15)	0.00	(0.02)	0.00	0.00	2.90	(2.24)	7.85
CRM	1.57	(0.20)	0.00	(0.06)	0.00	0.00	3.59	(3.10)	12.37
JPM	1.12	(0.09)	(0.03)	0.03	1.69	(1.11)	2.00	(3.11)	7.38
MRK	1.24	0.33	0.22	0.53	1.06	(1.54)	3.59	(1.98)	8.09
XOM	1.06	0.27	0.15	3.31	0.96	(1.21)	2.38	(1.51)	5.82

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