Consumer Goods Correlations

CNPIX Fund

USD 80.62 0.20 0.25%

The current 90-days correlation between Consumer Goods Ultra and Consumer Services Ultrasector is 0.19 (i.e., Average diversification). The correlation of Consumer Goods 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.

Consumer Goods Correlation With Market

Average diversification

The correlation between Consumer Goods Ultrasector 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 Consumer Goods Ultrasector and DJI in the same portfolio, assuming nothing else is changed.

Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Consumer Goods Ultrasector. Also, note that the market value of any mutual fund could be closely tied with the direction of predictive economic indicators such as signals in gross domestic product.

Moving together with Consumer Mutual Fund

0.86	GVPIX	Us Government Plus	Pair Corr
0.86	GVPSX	Us Government Plus	Pair Corr
0.64	UNPSX	Ultrainternational	Pair Corr
0.74	REPIX	Real Estate Ultrasector Steady Growth	Pair Corr
0.66	USPIX	Profunds Ultrashort	Pair Corr
0.66	USPSX	Profunds Ultrashort	Pair Corr

Moving against Consumer Mutual Fund

0.87	RRPIX	Rising Rates Opportunity	Pair Corr
0.86	RRPSX	Rising Rates Opportunity	Pair Corr
0.79	SRPIX	Short Real Estate	Pair Corr
0.75	SRPSX	Short Real Estate	Pair Corr
0.69	INPIX	Internet Ultrasector	Pair Corr
0.69	INPSX	Internet Ultrasector	Pair Corr
0.67	LGPIX	Large Cap Growth	Pair Corr
0.67	OTPIX	Nasdaq 100 Profund	Pair Corr
0.67	OTPSX	Nasdaq 100 Profund	Pair Corr
0.62	ENPIX	Oil Gas Ultrasector Potential Growth	Pair Corr
0.61	TEPIX	Technology Ultrasector	Pair Corr
0.6	ULPIX	Ultrabull Profund	Pair Corr
0.6	ULPSX	Ultrabull Profund	Pair Corr
0.58	BTCFX	Bitcoin Strategy Profund	Pair Corr
0.56	MLPSX	Mid Cap Value	Pair Corr
0.56	MLPIX	Mid Cap Value	Pair Corr
0.56	ENPSX	Oil Gas Ultrasector Potential Growth	Pair Corr
0.56	CYPSX	Consumer Services	Pair Corr
0.51	UMPSX	Ultramid Cap Profund Steady Growth	Pair Corr
0.51	UMPIX	Ultramid Cap Profund Steady Growth	Pair Corr
0.49	SVPIX	Small Cap Value	Pair Corr
0.87	RTPSX	Rising Rates Opportunity	Pair Corr
0.74	SMPIX	Semiconductor Ultrasector	Pair Corr
0.72	SMPSX	Semiconductor Ultrasector	Pair Corr
0.66	UOPIX	Ultra Nasdaq 100	Pair Corr
0.66	UOPSX	Ultranasdaq 100 Profund	Pair Corr
0.61	BLPSX	Bull Profund Bull	Pair Corr
0.57	BKPSX	Banks Ultrasector Profund Steady Growth	Pair Corr
0.54	BKPIX	Banks Ultrasector Profund Steady Growth	Pair Corr
0.53	MDPIX	Mid Cap Profund	Pair Corr
0.53	MDPSX	Mid Cap Profund	Pair Corr
0.52	SLPSX	Small Cap Profund	Pair Corr
0.5	UAPIX	Ultrasmall Cap Profund Steady Growth	Pair Corr

Related Correlations Analysis

	CYPIX	IDPIX	FNPIX	HCPIX	PHPIX
CYPIX		0.89	0.88	-0.82	0.59	CYPIX
IDPIX	0.89		0.81	-0.67	0.73	IDPIX
FNPIX	0.88	0.81		-0.85	0.66	FNPIX
HCPIX	-0.82	-0.67	-0.85		-0.5	HCPIX
PHPIX	0.59	0.73	0.66	-0.5		PHPIX
	CYPIX	IDPIX	FNPIX	HCPIX	PHPIX

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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

IDPIX	+ 0.89	CYPIX
FNPIX	+ 0.88	CYPIX
FNPIX	+ 0.81	IDPIX
PHPIX	+ 0.73	IDPIX
PHPIX	+ 0.66	FNPIX
PHPIX	+ 0.59	CYPIX

High negative correlations

HCPIX	- 0.85	FNPIX
HCPIX	- 0.82	CYPIX
HCPIX	- 0.67	IDPIX
PHPIX	- 0.5	HCPIX

Risk-Adjusted Indicators

There is a big difference between Consumer Mutual Fund performing well and Consumer Goods Mutual Fund 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 Consumer Goods' 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
CYPIX	1.32	0.19	0.17	0.24	1.19	(1.50)	2.98	(2.20)	6.97
IDPIX	1.01	0.03	0.09	0.13	0.98	(1.17)	2.48	(1.79)	8.41
FNPIX	1.09	0.32	0.15	(1.70)	0.87	(1.17)	2.09	(1.83)	11.72
HCPIX	0.82	(0.24)	0.00	(0.19)	0.00	0.00	1.22	(2.01)	4.33
PHPIX	1.30	(0.07)	(0.02)	0.06	1.57	(1.32)	2.61	(2.48)	7.33

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