Financial Investors Correlations

INDSX Etf

USD 16.83 0.23 1.35%

The correlation of Financial Investors 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. If the correlation is 0, the equities are not correlated; they are entirely random.

Financial Investors Correlation With Market

Modest diversification

The correlation between Financial Investors Trust and DJI is 0.23 (i.e., Modest diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Financial Investors Trust and DJI in the same portfolio, assuming nothing else is changed.

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

Moving together with Financial Etf

0.93	INAAX	Alpskotak India Growth	Pair Corr
1.0	INDAX	Alpskotak India Growth	Pair Corr
1.0	INDIX	Alpskotak India Growth	Pair Corr
0.99	INDA	iShares MSCI India Low Volatility	Pair Corr
0.98	EPI	WisdomTree India Earnings	Pair Corr
0.96	SMIN	iShares MSCI India	Pair Corr
0.98	PIN	Invesco India ETF	Pair Corr
0.98	FLIN	Franklin FTSE India	Pair Corr
0.95	GLIN	VanEck India Growth	Pair Corr
0.94	NFTY	First Trust India	Pair Corr

Moving against Financial Etf

0.74	SMCRX	ALPSSmith Credit Opp	Pair Corr
0.68	SMTRX	Alpssmith Total Return	Pair Corr
0.67	SMAMX	Alpssmith Total Return	Pair Corr
0.66	SMCVX	ALPSSmith Credit Opp	Pair Corr
0.66	SMCAX	DEUTSCHE MID CAP	Pair Corr
0.66	SMDSX	Alpssmith Short Duration	Pair Corr
0.65	SMCHX	Alpssmith Total Return	Pair Corr
0.65	SMCCX	DEUTSCHE MID CAP	Pair Corr
0.61	JCRAX	Alps/corecommodity	Pair Corr
0.61	JCRCX	Alps/corecommodity	Pair Corr
0.61	JCRIX	Alps/corecommodity	Pair Corr
0.44	BHIMX	ALPS Series Trust	Pair Corr
0.44	BHIIX	Brigade High Income	Pair Corr
0.71	BND	Vanguard Total Bond Sell-off Trend	Pair Corr
0.7	VEA	Vanguard FTSE Developed	Pair Corr
0.55	VPU	Vanguard Utilities Index	Pair Corr
0.5	OVT	Listed Funds Trust	Pair Corr
0.36	VTV	Vanguard Value Index	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.02	0.56	-0.5	0.23	0.5	0.32	0.9	-0.71	-0.07	META
MSFT	0.02		-0.59	-0.04	-0.83	0.57	0.88	0.21	0.41	-0.57	MSFT
UBER	0.56	-0.59		-0.31	0.78	-0.12	-0.5	0.48	-0.84	0.55	UBER
F	-0.5	-0.04	-0.31		0.06	-0.09	-0.19	-0.35	0.4	0.38	F
T	0.23	-0.83	0.78	0.06		-0.5	-0.74	0.07	-0.63	0.59	T
A	0.5	0.57	-0.12	-0.09	-0.5		0.67	0.68	0.05	-0.26	A
CRM	0.32	0.88	-0.5	-0.19	-0.74	0.67		0.42	0.23	-0.64	CRM
JPM	0.9	0.21	0.48	-0.35	0.07	0.68	0.42		-0.6	0.03	JPM
MRK	-0.71	0.41	-0.84	0.4	-0.63	0.05	0.23	-0.6		-0.36	MRK
XOM	-0.07	-0.57	0.55	0.38	0.59	-0.26	-0.64	0.03	-0.36		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	+ 0.88	MSFT
T	+ 0.78	UBER
JPM	+ 0.68	A
CRM	+ 0.67	A
XOM	+ 0.59	T

High negative correlations

MRK	- 0.84	UBER
T	- 0.83	MSFT
CRM	- 0.74	T
MRK	- 0.71	META
XOM	- 0.64	CRM
MRK	- 0.63	T

Financial Investors Competition Risk-Adjusted Indicators

There is a big difference between Financial Etf performing well and Financial Investors 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 Financial Investors' 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	1.61	0.05	0.02	0.04	2.24	(1.45)	2.96	(3.73)	8.90
MSFT	1.07	(0.17)	0.00	(0.20)	0.00	0.00	2.58	(2.14)	10.31
UBER	1.92	0.31	0.14	0.48	2.11	(2.12)	4.72	(3.13)	12.75
F	1.44	0.11	0.05	(0.36)	2.16	(1.40)	2.71	(2.88)	10.14
T	0.99	0.29	0.17	(24.36)	1.45	(1.12)	1.90	(1.55)	11.66
A	1.17	(0.20)	0.00	(0.20)	0.00	0.00	2.92	(2.59)	9.03
CRM	1.38	(0.27)	0.00	(0.22)	0.00	0.00	2.72	(3.53)	8.88
JPM	1.09	0.14	0.08	0.11	1.55	(1.09)	2.16	(1.98)	6.85
MRK	1.22	(0.15)	0.00	1.32	0.00	0.00	2.07	(2.25)	11.58
XOM	1.02	0.17	0.12	0.40	1.24	(1.06)	2.55	(2.36)	5.89

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