Main Sector Correlations

SECT Etf

USD 64.53 0.51 0.78%

The current 90-days correlation between Main Sector Rotation and Franklin FTSE India is 0.21 (i.e., Modest diversification). The correlation of Main Sector 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.

Main Sector Correlation With Market

Very poor diversification

The correlation between Main Sector Rotation and DJI is 0.83 (i.e., Very poor diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Main Sector Rotation and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with Main Etf

Check out World Market Map to better understand how to build diversified portfolios, which includes a position in Main Sector Rotation. 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 Main Etf

0.97	VTI	Vanguard Total Stock	Pair Corr
0.95	SPY	SPDR SP 500	Pair Corr
0.95	IVV	iShares Core SP	Pair Corr
0.83	VIG	Vanguard Dividend	Pair Corr
0.95	VV	Vanguard Large Cap	Pair Corr
0.84	RSP	Invesco SP 500	Pair Corr
0.96	IWB	iShares Russell 1000	Pair Corr
0.95	ESGU	iShares ESG Aware	Pair Corr
0.94	DFAC	Dimensional Core Equity	Pair Corr
0.63	TECL	Direxion Daily Technology	Pair Corr
0.69	ROM	ProShares Ultra Tech	Pair Corr
0.82	QLD	ProShares Ultra QQQ	Pair Corr
0.87	SMH	VanEck Semiconductor ETF	Pair Corr
0.95	SPXL	Direxion Daily SP500	Pair Corr
0.95	UPRO	ProShares UltraPro SP500	Pair Corr
0.86	SOXX	iShares Semiconductor ETF	Pair Corr
0.88	PSI	Invesco Dynamic Semi	Pair Corr
0.7	AA	Alcoa Corp	Pair Corr
0.66	AXP	American Express	Pair Corr

Moving against Main Etf

0.43

Procter Gamble

Pair Corr

Related Correlations Analysis

	FLIN	SPYX	FNCL	SILJ	MDYG	HACK	PABU	QLTY	ASHR	SMLF
FLIN		0.19	-0.36	-0.15	-0.13	-0.16	0.2	0.19	0.03	-0.19	FLIN
SPYX	0.19		0.63	0.51	0.86	-0.14	0.92	0.89	0.7	0.81	SPYX
FNCL	-0.36	0.63		0.81	0.86	-0.31	0.44	0.7	0.52	0.83	FNCL
SILJ	-0.15	0.51	0.81		0.7	-0.51	0.26	0.72	0.28	0.68	SILJ
MDYG	-0.13	0.86	0.86	0.7		-0.07	0.75	0.82	0.62	0.98	MDYG
HACK	-0.16	-0.14	-0.31	-0.51	-0.07		0.19	-0.47	0.05	0.02	HACK
PABU	0.2	0.92	0.44	0.26	0.75	0.19		0.67	0.71	0.72	PABU
QLTY	0.19	0.89	0.7	0.72	0.82	-0.47	0.67		0.49	0.77	QLTY
ASHR	0.03	0.7	0.52	0.28	0.62	0.05	0.71	0.49		0.56	ASHR
SMLF	-0.19	0.81	0.83	0.68	0.98	0.02	0.72	0.77	0.56		SMLF
	FLIN	SPYX	FNCL	SILJ	MDYG	HACK	PABU	QLTY	ASHR	SMLF

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

SMLF	+ 0.98	MDYG
PABU	+ 0.92	SPYX
QLTY	+ 0.89	SPYX
MDYG	+ 0.86	SPYX
MDYG	+ 0.86	FNCL
SMLF	+ 0.83	FNCL

High negative correlations

HACK	- 0.51	SILJ
QLTY	- 0.47	HACK
FNCL	- 0.36	FLIN
HACK	- 0.31	FNCL
SMLF	- 0.19	FLIN
HACK	- 0.16	FLIN

Main Sector Constituents Risk-Adjusted Indicators

There is a big difference between Main Etf performing well and Main Sector 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 Main Sector'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
FLIN	0.53	0.04	0.00	0.49	0.62	(0.55)	1.27	(1.01)	3.60
SPYX	0.59	(0.01)	(0.01)	0.04	0.87	(0.56)	1.24	(1.24)	3.29
FNCL	0.67	(0.03)	(0.03)	0.02	0.93	(0.74)	1.36	(1.70)	4.51
SILJ	2.49	0.28	0.09	0.23	3.19	(2.69)	6.14	(5.64)	17.75
MDYG	0.79	(0.04)	(0.03)	0.01	1.07	(0.75)	1.77	(1.72)	4.29
HACK	0.98	(0.17)	0.00	(0.11)	0.00	0.00	1.76	(2.23)	5.90
PABU	0.63	(0.02)	(0.02)	0.03	0.92	(0.59)	1.34	(1.37)	3.57
QLTY	0.62	0.05	0.05	0.10	0.72	(0.61)	1.44	(1.22)	3.77
ASHR	0.71	0.01	(0.01)	0.06	1.09	(0.65)	1.22	(1.24)	4.91
SMLF	0.87	(0.05)	(0.03)	0.01	1.24	(0.80)	1.53	(1.93)	4.68

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

2026 Macroaxis LLC