Rayliant Quantamental Correlations

RAYE Etf

USD 26.61 0.01 0.04%

The current 90-days correlation between Rayliant Quantamental and Rayliant Quantitative Developed is 0.5 (i.e., Very weak diversification). The correlation of Rayliant Quantamental 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.

Rayliant Quantamental Correlation With Market

Significant diversification

The correlation between Rayliant Quantamental Emerging and DJI is 0.04 (i.e., Significant diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Rayliant Quantamental Emerging and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with Rayliant Etf

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

Moving together with Rayliant Etf

0.98	VWO	Vanguard FTSE Emerging Sell-off Trend	Pair Corr
0.99	IEMG	iShares Core MSCI	Pair Corr
0.98	EMC	Global X Funds	Pair Corr
0.99	EEM	iShares MSCI Emerging	Pair Corr
0.96	SPEM	SPDR Portfolio Emerging	Pair Corr
0.98	FNDE	Schwab Fundamental	Pair Corr
0.99	ESGE	iShares ESG Aware	Pair Corr
0.99	SFGRX	Seafarer Overseas	Pair Corr
0.99	DGS	WisdomTree Emerging	Pair Corr
0.99	XSOE	WisdomTree Emerging	Pair Corr
0.98	UPRO	ProShares UltraPro SP500	Pair Corr
0.97	QTJA	Innovator ETFs Trust	Pair Corr
0.97	QTOC	Innovator ETFs Trust	Pair Corr
0.97	XTOC	Innovator ETFs Trust	Pair Corr
0.97	QTAP	Innovator Growth 100	Pair Corr
0.98	XTJA	Innovator ETFs Trust	Pair Corr
0.97	XTAP	Innovator Equity Acc	Pair Corr
0.97	BBCA	JPMorgan BetaBuilders	Pair Corr
0.98	XSD	SPDR SP Semiconductor	Pair Corr
0.95	DIVS	SmartETFs Dividend	Pair Corr
0.81	Z	Zillow Group Class	Pair Corr
0.96	HDG	ProShares Hedge Repl	Pair Corr
0.97	BENJ	Horizon Funds	Pair Corr
0.79	INDL	Direxion Daily MSCI	Pair Corr
0.98	CAT	Caterpillar	Pair Corr
0.73	CVX	Chevron Corp	Pair Corr
0.64	JPM	JPMorgan Chase Earnings Call This Week	Pair Corr
0.72	CSCO	Cisco Systems	Pair Corr
0.62	GE	GE Aerospace	Pair Corr

Moving against Rayliant Etf

0.72	MCD	McDonalds	Pair Corr
0.42	VZ	Verizon Communications	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.98	0.84	0.83	0.69	0.68	0.46	0.94	0.16	0.59	META
MSFT	0.98		0.9	0.87	0.73	0.59	0.51	0.96	0.14	0.59	MSFT
UBER	0.84	0.9		0.93	0.65	0.41	0.7	0.92	0.12	0.57	UBER
F	0.83	0.87	0.93		0.66	0.5	0.52	0.92	0.3	0.74	F
T	0.69	0.73	0.65	0.66		0.31	0.3	0.73	0.28	0.43	T
A	0.68	0.59	0.41	0.5	0.31		0.09	0.55	0.29	0.43	A
CRM	0.46	0.51	0.7	0.52	0.3	0.09		0.48	-0.18	0.12	CRM
JPM	0.94	0.96	0.92	0.92	0.73	0.55	0.48		0.2	0.67	JPM
MRK	0.16	0.14	0.12	0.3	0.28	0.29	-0.18	0.2		0.47	MRK
XOM	0.59	0.59	0.57	0.74	0.43	0.43	0.12	0.67	0.47		XOM
	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM

Click cells to compare fundamentals

Check Volatility

Backtest Portfolio

Please upgrade your account to get full access to Macroaxis premium features

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

MSFT	+ 0.98	META
JPM	+ 0.96	MSFT
JPM	+ 0.94	META
F	+ 0.93	UBER
JPM	+ 0.92	UBER
JPM	+ 0.92	F

High negative correlations

MRK

- 0.18

CRM

Rayliant Quantamental Competition Risk-Adjusted Indicators

There is a big difference between Rayliant Etf performing well and Rayliant Quantamental 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 Rayliant Quantamental'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	1.87	0.14	0.15	0.32	1.49	(2.28)	4.23	(2.56)	21.50
MSFT	1.12	0.27	0.24	0.49	0.53	(1.34)	2.40	(1.22)	13.79
UBER	1.82	0.30	0.22	0.48	1.31	(2.40)	5.87	(2.54)	16.18
F	1.56	0.16	0.08	0.38	1.80	(1.76)	3.70	(2.72)	13.07
T	1.08	(0.01)	(0.14)	0.19	1.38	(1.09)	2.35	(2.35)	5.49
A	1.34	0.29	0.02	(2.56)	1.33	(1.51)	2.52	(2.46)	12.09
CRM	1.48	(0.19)	(0.07)	0.08	1.76	(1.59)	3.01	(3.30)	13.13
JPM	1.11	0.22	0.17	0.47	0.74	(1.28)	2.75	(1.51)	11.20
MRK	1.49	(0.12)	(0.08)	0.08	2.12	(1.44)	3.35	(4.13)	10.58
XOM	1.26	0.06	(0.02)	0.35	1.58	(1.28)	2.77	(2.58)	10.53

Macroaxis helps investors of all levels and skills to maximize the upside of all their holdings and minimize the risk associated with market volatility, economic swings, and company-specific events. View terms and conditions

Feedback Blog

Made with optimal in San Francisco

2025 Macroaxis LLC