Cathay DJIA Correlations

00669R Etf

TWD 6.86 0.03 0.44%

The current 90-days correlation between Cathay DJIA Inv and Cathay TIP TAIEX is -0.47 (i.e., Very good diversification). The correlation of Cathay DJIA 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.

Cathay DJIA Correlation With Market

Significant diversification

The correlation between Cathay DJIA Inv and DJI is 0.02 (i.e., Significant diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Cathay DJIA Inv and DJI in the same portfolio, assuming nothing else is changed.

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

Moving together with Cathay Etf

0.73	00632R	Yuanta Daily Taiwan	Pair Corr
0.75	00686R	Capital Taiex Daily	Pair Corr
0.72	00664R	Cathay TAIEX Daily	Pair Corr
0.93	00648R	Yuanta Daily SP	Pair Corr
0.62	00694B	Fubon 1 3	Pair Corr

Moving against Cathay Etf

0.73	00631L	Yuanta Daily Taiwan	Pair Corr
0.7	0057	Fubon MSCI Taiwan	Pair Corr
0.69	0050	YuantaP shares Taiwan	Pair Corr
0.67	0053	YuantaP shares Taiwan	Pair Corr
0.55	00881	Cathay Taiwan 5G	Pair Corr
0.5	006201	YuantaP shares Taiwan	Pair Corr
0.41	0051	YuantaP shares Taiwan	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		-0.04	0.59	-0.54	0.32	0.42	0.26	0.9	-0.75	-0.01	META
MSFT	-0.04		-0.62	0.09	-0.79	0.69	0.89	0.1	0.44	-0.52	MSFT
UBER	0.59	-0.62		-0.35	0.8	-0.25	-0.53	0.53	-0.85	0.54	UBER
F	-0.54	0.09	-0.35		-0.05	-0.04	-0.08	-0.39	0.56	0.31	F
T	0.32	-0.79	0.8	-0.05		-0.57	-0.71	0.17	-0.65	0.58	T
A	0.42	0.69	-0.25	-0.04	-0.57		0.79	0.62	0.1	-0.3	A
CRM	0.26	0.89	-0.53	-0.08	-0.71	0.79		0.33	0.24	-0.58	CRM
JPM	0.9	0.1	0.53	-0.39	0.17	0.62	0.33		-0.63	0.07	JPM
MRK	-0.75	0.44	-0.85	0.56	-0.65	0.1	0.24	-0.63		-0.31	MRK
XOM	-0.01	-0.52	0.54	0.31	0.58	-0.3	-0.58	0.07	-0.31		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
CRM	+ 0.89	MSFT
T	+ 0.8	UBER
CRM	+ 0.79	A
A	+ 0.69	MSFT
JPM	+ 0.62	A

High negative correlations

MRK	- 0.85	UBER
T	- 0.79	MSFT
MRK	- 0.75	META
CRM	- 0.71	T
MRK	- 0.65	T
MRK	- 0.63	JPM

Cathay DJIA Competition Risk-Adjusted Indicators

There is a big difference between Cathay Etf performing well and Cathay DJIA 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 Cathay DJIA'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	1.59	0.02	0.00	(0.05)	0.00	0.00	2.57	(3.73)	8.90
MSFT	1.12	(0.15)	0.00	(0.28)	0.00	0.00	2.58	(2.14)	10.31
UBER	1.88	0.41	0.19	0.74	2.06	(2.04)	4.72	(3.13)	12.75
F	1.47	0.07	0.03	0.00	2.22	(1.39)	2.71	(2.89)	10.14
T	1.04	0.26	0.16	0.40	1.61	(1.11)	1.90	(1.75)	11.66
A	1.15	(0.15)	0.00	(0.23)	0.00	0.00	2.92	(2.59)	9.03
CRM	1.38	(0.27)	0.00	(0.31)	0.00	0.00	2.72	(3.81)	8.88
JPM	1.10	0.09	0.05	0.02	1.74	(1.04)	1.99	(3.35)	6.85
MRK	1.17	(0.11)	0.00	1.52	0.00	0.00	2.07	(1.80)	11.58
XOM	1.06	0.11	0.10	0.17	1.39	(1.08)	2.55	(2.36)	5.89

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