KFA Mount Correlations

KMLM Etf

USD 27.34 0.03 0.11%

The current 90-days correlation between KFA Mount Lucas and iMGP DBi Managed is 0.39 (i.e., Weak diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as KFA Mount moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if KFA Mount Lucas moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

KFA Mount Correlation With Market

Very good diversification

The correlation between KFA Mount Lucas and DJI is -0.22 (i.e., Very good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding KFA Mount Lucas and DJI in the same portfolio, assuming nothing else is changed.

Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in KFA Mount Lucas. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in bureau of economic analysis.

Moving together with KFA Etf

0.81	GRI	GRI Bio Earnings Call This Week	Pair Corr
0.68	AMPD	Tidal Trust II	Pair Corr

Moving against KFA Etf

0.83	AGIH	iShares ETF Trust	Pair Corr
0.81	GLTR	abrdn Physical Precious	Pair Corr
0.81	AGQI	First Trust Exchange	Pair Corr
0.81	CGSM	Capital Group Fixed	Pair Corr
0.81	IROC	IROC Symbol Change	Pair Corr
0.79	BKCI	BNY Mellon ETF	Pair Corr
0.76	CTA	Simplify Exchange Traded	Pair Corr
0.76	FXY	Invesco CurrencyShares	Pair Corr
0.72	MYMH	SPDR SSGA My2028	Pair Corr
0.7	UTWY	US Treasury 20	Pair Corr
0.66	VEMGF	Vanguard Funds Public	Pair Corr
0.62	ITDD	iShares Trust	Pair Corr
0.61	AAXJ	iShares MSCI All	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

KFA Mount Constituents Risk-Adjusted Indicators

There is a big difference between KFA Etf performing well and KFA Mount 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 KFA Mount'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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