IPath Series Correlations

GRN Etf

USD 34.60 0.32 0.93%

The current 90-days correlation between iPath Series B and Fidelity Real Estate is 0.05 (i.e., Significant diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as IPath Series moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if iPath Series B moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

IPath Series Correlation With Market

Average diversification

The correlation between iPath Series B and DJI is 0.1 (i.e., Average diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding iPath Series B and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with IPath Etf

Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in iPath Series B. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in persons.

Moving together with IPath Etf

0.78	GLD	SPDR Gold Shares	Pair Corr
0.78	IAU	iShares Gold Trust	Pair Corr
0.89	SLV	iShares Silver Trust Aggressive Push	Pair Corr
0.78	GLDM	SPDR Gold Mini	Pair Corr
0.78	SGOL	abrdn Physical Gold	Pair Corr
0.86	GLTR	abrdn Physical Precious	Pair Corr
0.89	SIVR	abrdn Physical Silver	Pair Corr
0.78	IAUM	iShares Gold Trust	Pair Corr
0.83	JEPI	JPMorgan Equity Premium	Pair Corr
0.69	AA	Alcoa Corp	Pair Corr
0.69	JPM	JPMorgan Chase Earnings Call This Week	Pair Corr
0.69	TRV	The Travelers Companies	Pair Corr

Moving against IPath Etf

0.63	HPQ	HP Inc	Pair Corr
0.56	MPAY	Exchange Traded Concepts	Pair Corr
0.43	USO	United States Oil	Pair Corr
0.55	PG	Procter Gamble	Pair Corr
0.53	MSFT	Microsoft	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.64	0.4	-0.49	0.27	-0.33	0.3	-0.23	-0.38	-0.51	META
MSFT	0.64		0.85	-0.55	0.42	-0.03	-0.03	-0.49	-0.82	-0.65	MSFT
UBER	0.4	0.85		-0.54	0.47	0.19	-0.23	-0.51	-0.83	-0.64	UBER
F	-0.49	-0.55	-0.54		-0.67	0.23	0.35	0.63	0.67	0.74	F
T	0.27	0.42	0.47	-0.67		0.28	-0.67	-0.65	-0.43	-0.54	T
A	-0.33	-0.03	0.19	0.23	0.28		-0.49	-0.23	-0.01	0.0	A
CRM	0.3	-0.03	-0.23	0.35	-0.67	-0.49		0.54	0.25	0.29	CRM
JPM	-0.23	-0.49	-0.51	0.63	-0.65	-0.23	0.54		0.67	0.68	JPM
MRK	-0.38	-0.82	-0.83	0.67	-0.43	-0.01	0.25	0.67		0.79	MRK
XOM	-0.51	-0.65	-0.64	0.74	-0.54	0.0	0.29	0.68	0.79		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

UBER	+ 0.85	MSFT
XOM	+ 0.79	MRK
XOM	+ 0.74	F
XOM	+ 0.68	JPM
MRK	+ 0.67	F
MRK	+ 0.67	JPM

High negative correlations

MRK	- 0.83	UBER
MRK	- 0.82	MSFT
CRM	- 0.67	T
T	- 0.67	F
JPM	- 0.65	T
XOM	- 0.65	MSFT

IPath Series Competition Risk-Adjusted Indicators

There is a big difference between IPath Etf performing well and IPath Series 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 IPath Series' 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	1.34	(0.21)	0.00	(0.15)	0.00	0.00	2.30	(2.72)	13.52
MSFT	0.92	(0.19)	0.00	(0.30)	0.00	0.00	1.65	(2.50)	4.90
UBER	1.53	(0.27)	0.00	(0.18)	0.00	0.00	2.60	(3.82)	10.23
F	1.51	0.12	0.08	0.16	1.68	(1.68)	3.38	(2.63)	16.30
T	0.89	(0.11)	0.00	(0.40)	0.00	0.00	1.61	(1.83)	5.75
A	1.14	(0.04)	(0.02)	0.04	1.34	(1.20)	2.34	(2.22)	6.50
CRM	1.55	0.04	0.01	0.12	2.01	(1.53)	3.66	(2.92)	9.91
JPM	1.12	0.01	0.02	0.08	1.44	(1.17)	2.34	(2.28)	7.02
MRK	1.23	0.29	0.21	0.42	1.08	(1.52)	3.59	(1.98)	8.09
XOM	0.97	0.04	0.00	0.15	1.09	(1.03)	2.10	(1.93)	5.82

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