Global X Correlations

PTEC Etf

34.62 0.32 0.92%

The correlation of Global X 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.

Global X Correlation With Market

Poor diversification

The correlation between Global X PropTech and DJI is 0.69 (i.e., Poor diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Global X PropTech and DJI in the same portfolio, assuming nothing else is changed.

Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in Global X PropTech. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in income.

Moving together with Global Etf

0.73	XT	iShares Exponential	Pair Corr
0.61	XTAP	Innovator Equity Acc Low Volatility	Pair Corr
0.61	KO	Coca Cola	Pair Corr
0.75	DD	Dupont De Nemours	Pair Corr
0.64	WMT	Walmart Aggressive Push	Pair Corr
0.68	MMM	3M Company	Pair Corr
0.62	MCD	McDonalds	Pair Corr
0.77	CSCO	Cisco Systems	Pair Corr
0.62	JPM	JPMorgan Chase	Pair Corr
0.71	T	ATT Inc Earnings Call This Week	Pair Corr

Moving against Global Etf

0.51	ACES	ALPS Clean Energy	Pair Corr
0.41	QCLN	First Trust NASDAQ	Pair Corr
0.33	MSOS	AdvisorShares Pure	Pair Corr
0.32	AA	Alcoa Corp	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		-0.04	0.59	-0.54	0.32	0.47	0.26	0.9	-0.75	-0.01	META
MSFT	-0.04		-0.62	0.09	-0.79	0.44	0.89	0.1	0.44	-0.52	MSFT
UBER	0.59	-0.62		-0.35	0.8	-0.04	-0.53	0.53	-0.85	0.54	UBER
F	-0.54	0.09	-0.35		-0.05	-0.07	-0.08	-0.39	0.56	0.31	F
T	0.32	-0.79	0.8	-0.05		-0.41	-0.71	0.17	-0.65	0.58	T
A	0.47	0.44	-0.04	-0.07	-0.41		0.57	0.7	-0.02	-0.18	A
CRM	0.26	0.89	-0.53	-0.08	-0.71	0.57		0.33	0.24	-0.58	CRM
JPM	0.9	0.1	0.53	-0.39	0.17	0.7	0.33		-0.63	0.07	JPM
MRK	-0.75	0.44	-0.85	0.56	-0.65	-0.02	0.24	-0.63		-0.31	MRK
XOM	-0.01	-0.52	0.54	0.31	0.58	-0.18	-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
JPM	+ 0.7	A
UBER	+ 0.59	META
XOM	+ 0.58	T

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

Global X Competition Risk-Adjusted Indicators

There is a big difference between Global Etf performing well and Global X 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 Global X'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	1.17	(0.12)	0.00	(0.21)	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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