Capital ICE Correlations

00754B Etf

35.89 0.04 0.11%

The current 90-days correlation between Capital ICE 15 and YuantaP shares Taiwan Top is -0.02 (i.e., Good diversification). The correlation of Capital ICE 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.

Capital ICE Correlation With Market

Modest diversification

The correlation between Capital ICE 15 and DJI is 0.26 (i.e., Modest diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Capital ICE 15 and DJI in the same portfolio, assuming nothing else is changed.

The ability to find closely correlated positions to Capital ICE could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Capital ICE 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 Capital ICE - 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 Capital ICE 15 to buy it.

Moving together with Capital Etf

0.95

00711B

Fuh Hwa Emerging

Pair Corr

Moving against Capital Etf

0.83	00669R	Cathay DJIA Inv	Pair Corr
0.58	00715L	Paradigm SP GSCI	Pair Corr
0.37	0050	YuantaP shares Taiwan	Pair Corr
0.35	00694B	Fubon 1 3	Pair Corr
0.32	00860B	Capital Ice 1	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

Capital ICE Competition Risk-Adjusted Indicators

There is a big difference between Capital Etf performing well and Capital ICE 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 Capital ICE'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

Capital ICE 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 Capital ICE etf to make a market-neutral strategy. Peer analysis of Capital ICE could also be used in its relative valuation, which is a method of valuing Capital ICE by comparing valuation metrics with similar companies.

YuantaP shares Taiwan Top Yuanta Daily Taiwan Cathay Taiwan 5G Yuanta Daily CSI Cathay Sustainability High Fubon FTSE Vietnam Fuh Hwa Emerging Paradigm SP GSCI Yuanta Daily Taiwan American Airlines Group Alcoa Corp Apple Inc Best Buy Co Citigroup SentinelOne

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