Ether Fund Correlations

QETH-U Etf

50.94 1.78 3.38%

The current 90-days correlation between Ether Fund and iShares SPTSX 60 is -0.11 (i.e., Good diversification). The correlation of Ether Fund 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.

Ether Fund Correlation With Market

Good diversification

The correlation between Ether Fund and DJI is -0.11 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Ether Fund and DJI in the same portfolio, assuming nothing else is changed.

The ability to find closely correlated positions to Ether Fund could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Ether Fund 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 Ether Fund - 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 Ether Fund to buy it.

Moving together with Ether Etf

0.64	XIU	iShares SPTSX 60	Pair Corr
0.63	XIC	iShares Core SPTSX	Pair Corr
0.64	ZAG	BMO Aggregate Bond	Pair Corr
0.65	XBB	iShares Canadian Universe	Pair Corr
0.63	ZCN	BMO SPTSX Capped	Pair Corr
0.79	ZSP	BMO SP 500	Pair Corr
0.79	VFV	Vanguard SP 500	Pair Corr
0.78	ZEB	BMO SPTSX Equal	Pair Corr
0.78	TPU	TD Equity Index	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.76	-0.53	-0.55	0.36	0.46	0.52	0.21	-0.02	-0.6	META
MSFT	0.76		-0.6	-0.29	0.6	0.1	0.69	0.43	-0.26	-0.6	MSFT
UBER	-0.53	-0.6		0.58	-0.68	0.15	-0.81	-0.6	0.69	0.81	UBER
F	-0.55	-0.29	0.58		-0.05	-0.14	-0.19	0.09	0.11	0.79	F
T	0.36	0.6	-0.68	-0.05		-0.17	0.85	0.8	-0.62	-0.44	T
A	0.46	0.1	0.15	-0.14	-0.17		-0.1	-0.3	0.61	0.11	A
CRM	0.52	0.69	-0.81	-0.19	0.85	-0.1		0.83	-0.69	-0.56	CRM
JPM	0.21	0.43	-0.6	0.09	0.8	-0.3	0.83		-0.75	-0.38	JPM
MRK	-0.02	-0.26	0.69	0.11	-0.62	0.61	-0.69	-0.75		0.44	MRK
XOM	-0.6	-0.6	0.81	0.79	-0.44	0.11	-0.56	-0.38	0.44		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

CRM	+ 0.85	T
JPM	+ 0.83	CRM
XOM	+ 0.81	UBER
JPM	+ 0.8	T
XOM	+ 0.79	F
MSFT	+ 0.76	META

High negative correlations

CRM	- 0.81	UBER
MRK	- 0.75	JPM
MRK	- 0.69	CRM
T	- 0.68	UBER
MRK	- 0.62	T
JPM	- 0.6	UBER

Ether Fund Competition Risk-Adjusted Indicators

There is a big difference between Ether Etf performing well and Ether Fund 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 Ether Fund'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	1.30	0.04	0.02	0.16	1.52	(1.48)	3.22	(3.15)	7.43
MSFT	0.89	0.03	0.01	(0.26)	1.64	(0.80)	1.78	(1.73)	8.14
UBER	1.73	(0.18)	0.00	(0.85)	0.00	0.00	2.67	(5.35)	20.41
F	1.36	(0.10)	0.00	(0.30)	0.00	0.00	2.38	(2.81)	11.21
T	0.97	0.03	0.02	0.12	1.17	(1.02)	1.93	(1.99)	7.95
A	1.12	(0.09)	0.00	(0.22)	0.00	0.00	2.43	(2.42)	8.06
CRM	1.42	0.20	0.12	1.34	1.39	(1.63)	3.16	(2.88)	14.80
JPM	1.01	0.23	0.17	2.97	1.06	(1.21)	1.65	(1.42)	15.87
MRK	0.95	(0.14)	0.00	(0.60)	0.00	0.00	1.72	(2.13)	5.17
XOM	0.76	(0.23)	0.00	(0.98)	0.00	0.00	1.42	(2.14)	6.06

Ether Fund Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Ether Fund etf to make a market-neutral strategy. Peer analysis of Ether Fund could also be used in its relative valuation, which is a method of valuing Ether Fund by comparing valuation metrics with similar companies.

iShares SPTSX 60 iShares Core SP iShares Core SPTSX BMO Aggregate Bond iShares Canadian Universe BMO SPTSX Capped BMO SP 500 TD Canadian Long Vanguard SP 500 BMO SPTSX Equal American Airlines Group Alcoa Corp Apple Inc Best Buy Co Citigroup

Risk & Return

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