KFA Mount Correlations

KMLM Etf

USD 25.36 0.05 0.20%

The current 90-days correlation between KFA Mount Lucas and iMGP DBi Managed is 0.32 (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

Modest diversification

The correlation between KFA Mount Lucas and DJI is 0.28 (i.e., Modest 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.

Build AI portfolio with KFA Etf

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

0.67	FMF	First Trust Managed Potential Growth	Pair Corr
0.71	CTA	Simplify Exchange Traded	Pair Corr

Moving against KFA Etf

0.73	TRSY	Xtrackers 0 1	Pair Corr
0.65	GLDX	USCF Gold Strategy	Pair Corr
0.62	AAIAX	AMERICAN BEACON INTE	Pair Corr
0.59	HODL	VanEck Bitcoin Trust	Pair Corr
0.54	CVNY	Tidal Trust II	Pair Corr
0.47	FUMB	First Trust Ultra	Pair Corr
0.42	CPSD	Calamos ETF Trust	Pair Corr
0.39	DIAL	Columbia Diversified	Pair Corr
0.39	OAEM	OneAscent Emerging	Pair Corr
0.38	ILCG	iShares Morningstar	Pair Corr
0.37	XOVR	ERShares Private Public Symbol Change	Pair Corr
0.37	BCHP	EGSHARES BLUE CHIP	Pair Corr
0.37	JIVE	JPMorgan International	Pair Corr
0.35	SMOG	VanEck Low Carbon	Pair Corr
0.34	SPBC	Simplify Equity PLUS	Pair Corr
0.33	RSHO	Tema ETF Trust	Pair Corr
0.32	EETH	ProShares Trust	Pair Corr
0.65	MYCF	SPDR SSGA My2026	Pair Corr
0.6	BETZ	Roundhill Sports Betting	Pair Corr
0.59	CBTJ	Calamos Bitcoin 80	Pair Corr
0.54	BETH	ProShares Trust	Pair Corr
0.53	EFAS	Global X MSCI	Pair Corr
0.48	BITQ	Bitwise Crypto Industry	Pair Corr
0.43	DWM	WisdomTree International	Pair Corr
0.43	KEMX	KraneShares MSCI Emerging	Pair Corr
0.4	FTGS	First Trust Growth	Pair Corr
0.38	FDND	FT Vest Dow	Pair Corr
0.38	FDMO	Fidelity Momentum Factor	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.91	0.74	0.78	0.53	0.67	0.53	0.86	-0.17	0.13	META
MSFT	0.91		0.89	0.82	0.54	0.37	0.43	0.92	-0.47	-0.17	MSFT
UBER	0.74	0.89		0.87	0.49	0.26	0.61	0.88	-0.51	-0.19	UBER
F	0.78	0.82	0.87		0.5	0.49	0.65	0.9	-0.24	0.11	F
T	0.53	0.54	0.49	0.5		0.28	0.2	0.57	-0.18	0.11	T
A	0.67	0.37	0.26	0.49	0.28		0.6	0.41	0.55	0.7	A
CRM	0.53	0.43	0.61	0.65	0.2	0.6		0.49	0.17	0.31	CRM
JPM	0.86	0.92	0.88	0.9	0.57	0.41	0.49		-0.41	-0.05	JPM
MRK	-0.17	-0.47	-0.51	-0.24	-0.18	0.55	0.17	-0.41		0.72	MRK
XOM	0.13	-0.17	-0.19	0.11	0.11	0.7	0.31	-0.05	0.72		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	+ 0.92	MSFT
MSFT	+ 0.91	META
JPM	+ 0.9	F
UBER	+ 0.89	MSFT
JPM	+ 0.88	UBER
F	+ 0.87	UBER

High negative correlations

MRK	- 0.51	UBER
MRK	- 0.47	MSFT
MRK	- 0.41	JPM
MRK	- 0.24	F
XOM	- 0.19	UBER
MRK	- 0.18	T

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	2.11	0.25	0.08	(6.57)	2.52	(2.36)	4.23	(4.29)	21.50
MSFT	1.23	0.34	0.19	(5.80)	1.19	(1.34)	2.40	(2.36)	13.79
UBER	1.90	0.24	0.08	(1.40)	2.28	(2.09)	4.19	(3.48)	16.18
F	1.71	0.11	0.04	0.14	2.24	(1.75)	2.90	(3.84)	13.07
T	1.14	0.08	0.03	0.29	1.79	(1.14)	2.01	(2.62)	8.83
A	1.78	(0.06)	0.00	0.23	0.00	0.00	2.76	(4.15)	14.45
CRM	1.59	(0.10)	0.00	1.72	0.00	0.00	3.01	(3.64)	13.13
JPM	1.32	0.23	0.10	0.23	1.95	(1.38)	2.75	(2.12)	11.14
MRK	1.62	(0.23)	0.00	0.86	0.00	0.00	2.55	(4.72)	10.58
XOM	1.28	0.01	0.00	1.71	2.24	(1.20)	2.62	(2.77)	10.53

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