Schwab 5 Correlations

SCHI Etf

USD 22.42 0.02 0.09%

The current 90-days correlation between Schwab 5 10 and Schwab 1 5 Year is 0.9 (i.e., Almost no diversification). The correlation of Schwab 5 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.

Schwab 5 Correlation With Market

Average diversification

The correlation between Schwab 5 10 Year and DJI is 0.19 (i.e., Average diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Schwab 5 10 Year and DJI in the same portfolio, assuming nothing else is changed.

Check out World Market Map to better understand how to build diversified portfolios, which includes a position in Schwab 5 10 Year. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in rate.

Moving together with Schwab Etf

0.99	LQD	iShares iBoxx Investment	Pair Corr
1.0	IGIB	iShares 5 10 Sell-off Trend	Pair Corr
0.95	USIG	iShares Broad USD	Pair Corr
0.96	SPIB	SPDR Barclays Interm	Pair Corr
0.94	SUSC	iShares ESG USD	Pair Corr
0.94	QLTA	iShares Aaa	Pair Corr
1.0	CORP	PIMCO Investment Grade	Pair Corr
0.94	FLCO	Franklin Liberty Inv	Pair Corr
0.94	GIGB	Goldman Sachs Access	Pair Corr
1.0	VTC	Vanguard Total Corporate	Pair Corr
0.88	BABX	GraniteShares 175x Long	Pair Corr
0.88	XPP	ProShares Ultra FTSE	Pair Corr
0.75	GDXU	MicroSectors Gold Miners	Pair Corr
0.74	JNUG	Direxion Daily Junior	Pair Corr
0.81	SHNY	Microsectors Gold	Pair Corr
0.79	PG	Procter Gamble	Pair Corr
0.91	JNJ	Johnson Johnson	Pair Corr
0.62	GE	GE Aerospace	Pair Corr
0.75	IBM	International Business	Pair Corr
0.91	VZ	Verizon Communications	Pair Corr
0.83	TRV	The Travelers Companies	Pair Corr
0.63	MMM	3M Company	Pair Corr
0.62	CSCO	Cisco Systems	Pair Corr

Moving against Schwab Etf

0.44	BAC	Bank of America Sell-off Trend	Pair Corr
0.35	DIS	Walt Disney	Pair Corr
0.69	AA	Alcoa Corp	Pair Corr
0.61	CAT	Caterpillar	Pair Corr
0.5	HPQ	HP Inc	Pair Corr
0.49	AXP	American Express Sell-off Trend	Pair Corr
0.49	MRK	Merck Company	Pair Corr
0.38	HD	Home Depot	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		-0.07	0.61	-0.52	0.35	0.4	0.23	0.9	-0.75	0.03	META
MSFT	-0.07		-0.63	0.16	-0.79	0.68	0.89	0.07	0.46	-0.47	MSFT
UBER	0.61	-0.63		-0.4	0.8	-0.24	-0.54	0.55	-0.85	0.5	UBER
F	-0.52	0.16	-0.4		-0.1	0.01	-0.01	-0.39	0.58	0.29	F
T	0.35	-0.79	0.8	-0.1		-0.56	-0.7	0.2	-0.66	0.55	T
A	0.4	0.68	-0.24	0.01	-0.56		0.77	0.61	0.11	-0.25	A
CRM	0.23	0.89	-0.54	-0.01	-0.7	0.77		0.3	0.26	-0.52	CRM
JPM	0.9	0.07	0.55	-0.39	0.2	0.61	0.3		-0.64	0.09	JPM
MRK	-0.75	0.46	-0.85	0.58	-0.66	0.11	0.26	-0.64		-0.3	MRK
XOM	0.03	-0.47	0.5	0.29	0.55	-0.25	-0.52	0.09	-0.3		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	+ 0.77	A
A	+ 0.68	MSFT
UBER	+ 0.61	META

High negative correlations

MRK	- 0.85	UBER
T	- 0.79	MSFT
MRK	- 0.75	META
CRM	- 0.7	T
MRK	- 0.66	T
MRK	- 0.64	JPM

Schwab 5 Competition Risk-Adjusted Indicators

There is a big difference between Schwab Etf performing well and Schwab 5 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 Schwab 5'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	(0.03)	0.00	(0.10)	0.00	0.00	2.57	(3.73)	8.90
MSFT	1.10	(0.17)	0.00	(0.32)	0.00	0.00	2.58	(2.14)	10.31
UBER	1.89	0.35	0.16	0.60	2.15	(2.04)	4.72	(3.13)	12.75
F	1.47	0.08	0.03	0.00	2.22	(1.39)	2.71	(2.89)	10.14
T	1.05	0.27	0.17	0.42	1.61	(1.12)	1.90	(1.75)	11.66
A	1.16	(0.17)	0.00	(0.26)	0.00	0.00	2.92	(2.59)	9.03
CRM	1.38	(0.29)	0.00	(0.33)	0.00	0.00	2.72	(3.81)	8.88
JPM	1.10	0.07	0.04	(0.01)	1.72	(1.04)	1.99	(3.35)	6.85
MRK	1.15	(0.08)	0.00	1.02	0.00	0.00	2.07	(1.80)	11.58
XOM	1.07	0.10	0.10	0.15	1.40	(1.08)	2.55	(2.36)	5.89

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