FPA Short Correlations

FPAS Etf

25.37 0.04 0.16%

The current 90-days correlation between FPA Short Duration and ProShares UltraPro QQQ is -0.08 (i.e., Good diversification). The correlation of FPA Short 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.

FPA Short Correlation With Market

Very weak diversification

The correlation between FPA Short Duration and DJI is 0.41 (i.e., Very weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding FPA Short Duration and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with FPA Etf

Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in FPA Short Duration. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in nation.

Moving together with FPA Etf

0.67	SHY	iShares 1 3	Pair Corr
0.62	LMBS	First Trust Low	Pair Corr
0.69	SPTS	SPDR Barclays Short	Pair Corr
0.78	AGZ	iShares Agency Bond	Pair Corr
0.7	UTWO	Rbb Fund	Pair Corr
0.73	XTWO	Bondbloxx ETF Trust	Pair Corr
0.87	XTRE	Bondbloxx ETF Trust	Pair Corr
0.84	BND	Vanguard Total Bond	Pair Corr
0.79	LQIG	SPDR MarketAxess Inv	Pair Corr
0.83	FOPC	Advisors Inner	Pair Corr
0.72	IYR	iShares Real Estate	Pair Corr

Moving against FPA Etf

0.46	IRE	Tidal Trust II	Pair Corr
0.4	VUG	Vanguard Growth Index	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		-0.24	-0.29	0.37	0.12	-0.39	-0.04	0.35	0.3	0.32	META
MSFT	-0.24		0.83	-0.59	-0.8	0.77	0.89	0.15	-0.88	-0.93	MSFT
UBER	-0.29	0.83		-0.54	-0.69	0.83	0.68	0.0	-0.8	-0.81	UBER
F	0.37	-0.59	-0.54		0.25	-0.5	-0.36	0.23	0.74	0.65	F
T	0.12	-0.8	-0.69	0.25		-0.58	-0.82	-0.2	0.63	0.7	T
A	-0.39	0.77	0.83	-0.5	-0.58		0.61	0.04	-0.7	-0.82	A
CRM	-0.04	0.89	0.68	-0.36	-0.82	0.61		0.46	-0.72	-0.86	CRM
JPM	0.35	0.15	0.0	0.23	-0.2	0.04	0.46		0.12	-0.15	JPM
MRK	0.3	-0.88	-0.8	0.74	0.63	-0.7	-0.72	0.12		0.89	MRK
XOM	0.32	-0.93	-0.81	0.65	0.7	-0.82	-0.86	-0.15	0.89		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

CRM	+ 0.89	MSFT
XOM	+ 0.89	MRK
UBER	+ 0.83	MSFT
A	+ 0.83	UBER
A	+ 0.77	MSFT
MRK	+ 0.74	F

High negative correlations

XOM	- 0.93	MSFT
MRK	- 0.88	MSFT
XOM	- 0.86	CRM
XOM	- 0.82	A
CRM	- 0.82	T
XOM	- 0.81	UBER

FPA Short Competition Risk-Adjusted Indicators

There is a big difference between FPA Etf performing well and FPA Short 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 FPA Short'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	1.52	0.05	0.02	0.12	1.51	(1.78)	3.43	(2.81)	13.69
MSFT	1.34	(0.43)	0.00	(0.88)	0.00	0.00	1.90	(2.87)	13.28
UBER	1.61	(0.43)	0.00	(0.57)	0.00	0.00	2.46	(4.25)	11.09
F	1.23	0.05	0.03	0.12	1.22	(1.46)	3.34	(2.30)	7.16
T	1.02	0.20	0.11	(1.79)	0.92	(1.18)	3.87	(1.76)	7.44
A	1.26	(0.29)	0.00	(0.20)	0.00	0.00	2.90	(2.72)	7.85
CRM	1.71	(0.48)	0.00	(0.39)	0.00	0.00	2.94	(4.75)	12.37
JPM	1.24	(0.10)	(0.04)	0.00	1.80	(1.29)	2.34	(3.11)	7.38
MRK	1.28	0.41	0.28	0.75	0.98	(1.50)	2.93	(1.98)	8.74
XOM	1.30	0.38	0.22	3.43	1.12	(1.49)	2.90	(2.44)	6.83

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