3EDGE Dynamic Correlations

EDGF Etf

24.79 0.03 0.12%

The current 90-days correlation between 3EDGE Dynamic Fixed and MFS Active Core is 0.06 (i.e., Significant diversification). The correlation of 3EDGE Dynamic 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.

3EDGE Dynamic Correlation With Market

Significant diversification

The correlation between 3EDGE Dynamic Fixed and DJI is 0.01 (i.e., Significant diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding 3EDGE Dynamic Fixed and DJI in the same portfolio, assuming nothing else is changed.

Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in 3EDGE Dynamic Fixed. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in price.

Moving together with 3EDGE Etf

0.93	BND	Vanguard Total Bond	Pair Corr
0.85	VEA	Vanguard FTSE Developed	Pair Corr
0.89	FXY	Invesco CurrencyShares	Pair Corr
0.97	PMBS	PIMCO Mortgage Backed	Pair Corr
0.87	IDOG	ALPS International Sector	Pair Corr
0.68	MCD	McDonalds	Pair Corr
0.85	VZ	Verizon Communications	Pair Corr
0.76	JNJ	Johnson Johnson	Pair Corr
0.81	TRV	The Travelers Companies	Pair Corr

Moving against 3EDGE Etf

0.81	WGMI	Valkyrie Bitcoin Miners	Pair Corr
0.58	VUG	Vanguard Growth Index	Pair Corr
0.54	VB	Vanguard Small Cap	Pair Corr
0.37	VTI	Vanguard Total Stock	Pair Corr
0.33	SPY	SPDR SP 500	Pair Corr
0.33	IVV	iShares Core SP	Pair Corr
0.49	BA	Boeing	Pair Corr
0.43	MSFT	Microsoft	Pair Corr
0.4	AXP	American Express	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		-0.26	0.7	-0.47	0.53	0.29	0.03	0.89	-0.79	0.19	META
MSFT	-0.26		-0.65	0.47	-0.74	0.6	0.88	-0.12	0.56	-0.08	MSFT
UBER	0.7	-0.65		-0.51	0.81	-0.21	-0.57	0.64	-0.85	0.38	UBER
F	-0.47	0.47	-0.51		-0.29	0.23	0.35	-0.37	0.67	0.29	F
T	0.53	-0.74	0.81	-0.29		-0.49	-0.64	0.35	-0.7	0.34	T
A	0.29	0.6	-0.21	0.23	-0.49		0.69	0.53	0.15	0.08	A
CRM	0.03	0.88	-0.57	0.35	-0.64	0.69		0.1	0.39	-0.08	CRM
JPM	0.89	-0.12	0.64	-0.37	0.35	0.53	0.1		-0.68	0.23	JPM
MRK	-0.79	0.56	-0.85	0.67	-0.7	0.15	0.39	-0.68		-0.18	MRK
XOM	0.19	-0.08	0.38	0.29	0.34	0.08	-0.08	0.23	-0.18		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	+ 0.89	META
CRM	+ 0.88	MSFT
T	+ 0.81	UBER
UBER	+ 0.7	META
CRM	+ 0.69	A
MRK	+ 0.67	F

High negative correlations

MRK	- 0.85	UBER
MRK	- 0.79	META
T	- 0.74	MSFT
MRK	- 0.7	T
MRK	- 0.68	JPM
UBER	- 0.65	MSFT

3EDGE Dynamic Competition Risk-Adjusted Indicators

There is a big difference between 3EDGE Etf performing well and 3EDGE Dynamic 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 3EDGE Dynamic'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	1.58	0.09	0.00	(0.04)	0.00	0.00	2.49	(3.59)	8.65
MSFT	1.07	(0.15)	0.00	(0.39)	0.00	0.00	2.56	(2.14)	10.31
UBER	1.89	0.18	0.10	0.28	2.38	(1.97)	4.72	(3.30)	12.75
F	1.40	0.06	0.00	(0.08)	0.00	0.00	2.71	(2.89)	10.14
T	1.04	0.23	0.17	0.30	1.64	(1.07)	1.90	(2.12)	11.66
A	1.14	(0.12)	0.00	(0.28)	0.00	0.00	2.80	(2.59)	9.03
CRM	1.40	(0.27)	0.00	(0.40)	0.00	0.00	2.21	(3.81)	8.88
JPM	1.07	0.03	0.00	(0.12)	0.00	0.00	1.97	(3.35)	6.85
MRK	1.21	(0.13)	0.00	1.63	0.00	0.00	2.08	(2.24)	11.57
XOM	1.01	(0.02)	0.00	(0.21)	0.00	0.00	2.07	(2.36)	5.89

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