Columbia Seligman Correlations

STK Etf

USD 32.72 0.34 1.03%

The current 90-days correlation between Columbia Seligman Premium and Eaton Vance Enhanced is 0.91 (i.e., Almost no diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Columbia Seligman moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Columbia Seligman Premium moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

Columbia Seligman Correlation With Market

Poor diversification

The correlation between Columbia Seligman Premium and DJI is 0.75 (i.e., Poor diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Columbia Seligman Premium 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 Columbia Seligman Premium. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in estimate.

Moving together with Columbia Etf

0.75	GEGAX	Aberdeen Emerging Markets	Pair Corr
0.77	GEGCX	Aberdeen Emerging Markets	Pair Corr
0.76	GEMRX	Aberdeen Emerging Markets	Pair Corr
0.82	GWLIX	Aberdeen Gbl Eq	Pair Corr
0.82	GWLRX	Aberdeen Gbl Eq	Pair Corr
0.79	GXXAX	Aberdeen Equity A	Pair Corr
0.8	GXXCX	Aberdeen Multi Cap	Pair Corr
0.79	GXXIX	Aberdeen Equity Instl	Pair Corr
0.89	GGLIX	Aberdeen Multi Cap	Pair Corr
0.62	WVCCX	Aberdeen Gbl Small	Pair Corr
0.82	ASEMX	Abrdn Em Sma	Pair Corr
0.71	ABEMX	Aberdeen Emerging Markts	Pair Corr
0.61	ABNIX	Aberdeen Global Small	Pair Corr
0.82	GLLAX	Aberdeen Gbl Eq	Pair Corr
0.82	GLLCX	Aberdeen Gbl Eq	Pair Corr
0.9	GLLSX	Aberdeen Global Equty	Pair Corr
0.72	AEMSX	Aberden Emerng Mrkts	Pair Corr
0.8	BJBIX	Aberdeen Select Inte	Pair Corr
0.8	JIEIX	Aberdeen Select Inte	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.1	0.78	-0.31	0.63	0.44	0.67	0.07	-0.38	0.12	META
MSFT	0.1		0.28	0.77	-0.27	-0.59	0.24	-0.14	0.78	-0.41	MSFT
UBER	0.78	0.28		0.06	0.45	0.27	0.62	0.4	-0.05	0.07	UBER
F	-0.31	0.77	0.06		-0.48	-0.61	-0.08	0.07	0.86	-0.26	F
T	0.63	-0.27	0.45	-0.48		0.67	0.37	0.08	-0.51	0.06	T
A	0.44	-0.59	0.27	-0.61	0.67		0.49	0.37	-0.72	0.54	A
CRM	0.67	0.24	0.62	-0.08	0.37	0.49		0.26	-0.12	0.39	CRM
JPM	0.07	-0.14	0.4	0.07	0.08	0.37	0.26		-0.04	0.35	JPM
MRK	-0.38	0.78	-0.05	0.86	-0.51	-0.72	-0.12	-0.04		-0.37	MRK
XOM	0.12	-0.41	0.07	-0.26	0.06	0.54	0.39	0.35	-0.37		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

MRK	+ 0.86	F
UBER	+ 0.78	META
MRK	+ 0.78	MSFT
F	+ 0.77	MSFT
CRM	+ 0.67	META
A	+ 0.67	T

High negative correlations

MRK	- 0.72	A
A	- 0.61	F
A	- 0.59	MSFT
MRK	- 0.51	T
T	- 0.48	F
XOM	- 0.41	MSFT

Columbia Seligman Competition Risk-Adjusted Indicators

There is a big difference between Columbia Etf performing well and Columbia Seligman 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 Columbia Seligman'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	1.49	0.12	0.05	0.25	1.89	(1.57)	3.93	(3.21)	11.55
MSFT	1.01	(0.23)	0.00	(0.15)	0.00	0.00	1.77	(2.45)	5.06
UBER	1.83	(0.06)	(0.02)	0.05	2.14	(2.23)	5.29	(3.33)	13.81
F	1.76	(0.39)	0.00	(0.16)	0.00	0.00	2.84	(3.91)	22.50
T	0.90	0.26	0.12	(8.35)	1.03	(1.00)	2.53	(2.20)	7.97
A	1.08	0.10	0.08	0.20	1.13	(1.12)	2.84	(2.08)	6.97
CRM	1.27	0.00	0.02	0.11	1.32	(1.37)	2.93	(2.21)	6.43
JPM	1.04	(0.11)	(0.04)	0.02	1.82	(0.87)	2.05	(2.38)	7.98
MRK	1.00	(0.17)	0.00	1.55	0.00	0.00	1.31	(2.09)	11.82
XOM	1.16	0.03	(0.01)	0.15	1.35	(1.23)	2.10	(2.09)	5.78

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