RiverFront Dynamic Correlations

RFFC Etf

USD 68.15 0.00 0.00%

The current 90-days correlation between RiverFront Dynamic Flex and First Trust Asia is 0.69 (i.e., Poor diversification). The correlation of RiverFront Dynamic 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.

RiverFront Dynamic Correlation With Market

Average diversification

The correlation between RiverFront Dynamic Flex Cap and DJI is 0.15 (i.e., Average diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding RiverFront Dynamic Flex Cap and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with RiverFront Etf

Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in RiverFront Dynamic Flex Cap. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in census.

Moving together with RiverFront Etf

0.83	VTI	Vanguard Total Stock	Pair Corr
0.85	SPY	SPDR SP 500	Pair Corr
0.85	IVV	iShares Core SP	Pair Corr
0.8	VIG	Vanguard Dividend	Pair Corr
0.84	VV	Vanguard Large Cap	Pair Corr
0.64	RSP	Invesco SP 500	Pair Corr
0.84	IWB	iShares Russell 1000	Pair Corr
0.84	ESGU	iShares ESG Aware	Pair Corr
0.85	DFAC	Dimensional Core Equity	Pair Corr
0.73	SPLG	SSgA Symbol Change	Pair Corr
0.79	SMH	VanEck Semiconductor ETF	Pair Corr
0.74	SPXL	Direxion Daily SP500	Pair Corr
0.73	UPRO	ProShares UltraPro SP500	Pair Corr
0.77	SOXX	iShares Semiconductor ETF	Pair Corr
0.83	PSI	Invesco Dynamic Semi	Pair Corr
0.78	AA	Alcoa Corp	Pair Corr
0.72	IBM	International Business	Pair Corr
0.63	WMT	Walmart Common Stock	Pair Corr
0.72	CSCO	Cisco Systems	Pair Corr
0.85	AXP	American Express	Pair Corr
0.73	XOM	Exxon Mobil Corp	Pair Corr
0.77	DD	Dupont De Nemours	Pair Corr
0.69	MRK	Merck Company	Pair Corr

Moving against RiverFront Etf

0.63	GBTC	Grayscale Bitcoin Trust	Pair Corr
0.63	PG	Procter Gamble	Pair Corr

Related Correlations Analysis

	FPA	KONG	THEQ	HGRO	JRE	HAIL	SQLV	JUNT	IBOT	JPSV
FPA		0.01	0.49	0.49	-0.11	0.07	-0.01	0.43	0.44	-0.11	FPA
KONG	0.01		0.7	0.54	0.1	0.31	0.9	0.71	0.77	0.83	KONG
THEQ	0.49	0.7		0.88	0.24	0.27	0.66	0.75	0.87	0.6	THEQ
HGRO	0.49	0.54	0.88		0.02	-0.09	0.62	0.82	0.76	0.6	HGRO
JRE	-0.11	0.1	0.24	0.02		0.1	0.18	-0.02	0.11	0.24	JRE
HAIL	0.07	0.31	0.27	-0.09	0.1		0.06	-0.17	0.38	-0.07	HAIL
SQLV	-0.01	0.9	0.66	0.62	0.18	0.06		0.76	0.73	0.97	SQLV
JUNT	0.43	0.71	0.75	0.82	-0.02	-0.17	0.76		0.77	0.71	JUNT
IBOT	0.44	0.77	0.87	0.76	0.11	0.38	0.73	0.77		0.62	IBOT
JPSV	-0.11	0.83	0.6	0.6	0.24	-0.07	0.97	0.71	0.62		JPSV
	FPA	KONG	THEQ	HGRO	JRE	HAIL	SQLV	JUNT	IBOT	JPSV

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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

JPSV	+ 0.97	SQLV
SQLV	+ 0.9	KONG
HGRO	+ 0.88	THEQ
IBOT	+ 0.87	THEQ
JPSV	+ 0.83	KONG
JUNT	+ 0.82	HGRO

High negative correlations

JUNT	- 0.17	HAIL
JPSV	- 0.11	FPA
JRE	- 0.11	FPA
HAIL	- 0.09	HGRO
JPSV	- 0.07	HAIL
JUNT	- 0.02	JRE

RiverFront Dynamic Constituents Risk-Adjusted Indicators

There is a big difference between RiverFront Etf performing well and RiverFront Dynamic 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 RiverFront Dynamic'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
FPA	0.85	0.05	(0.01)	0.34	1.13	(0.81)	1.90	(1.57)	5.41
KONG	0.46	(0.04)	(0.10)	0.02	0.57	(0.50)	0.99	(0.97)	2.32
THEQ	0.41	(0.03)	(0.09)	0.03	0.57	(0.43)	0.86	(0.82)	2.37
HGRO	0.69	(0.01)	(0.02)	0.06	0.92	(0.67)	1.37	(1.52)	4.18
JRE	0.68	(0.04)	0.00	(0.03)	0.00	0.00	1.22	(1.11)	8.90
HAIL	1.58	(0.14)	(0.03)	0.00	2.08	(1.59)	3.04	(4.03)	8.45
SQLV	0.81	(0.05)	(0.04)	0.03	0.95	(0.94)	1.97	(1.55)	4.44
JUNT	0.24	0.02	(0.12)	0.41	0.29	(0.23)	0.54	(0.45)	1.53
IBOT	1.00	0.03	0.04	0.10	1.36	(0.97)	1.85	(2.39)	5.99
JPSV	0.66	(0.05)	(0.06)	0.02	0.82	(0.78)	1.73	(1.65)	3.99

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