Science Technology Correlations

VCSTX Fund

USD 40.82 0.06 0.15%

The current 90-days correlation between Science Technology and Mid Cap Index is -0.17 (i.e., Good diversification). The correlation of Science Technology 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.

Science Technology Correlation With Market

Very weak diversification

The correlation between Science Technology Fund and DJI is 0.57 (i.e., Very weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Science Technology Fund and DJI in the same portfolio, assuming nothing else is changed.

Check out World Market Map to better understand how to build diversified portfolios, which includes a position in Science Technology Fund. 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 persons.

Moving together with Science Mutual Fund

0.72	VMSGX	Mid Cap Strategic	Pair Corr
0.84	VAPPX	Valic Company I	Pair Corr
0.8	VSRDX	Valic Company I	Pair Corr
0.71	VCAAX	Asset Allocation	Pair Corr
0.83	VCBCX	Blue Chip Growth	Pair Corr
0.78	VCGEX	Emerging Economies	Pair Corr
0.71	VCINX	International Growth	Pair Corr
0.76	VCNIX	Nasdaq 100 Index	Pair Corr
0.93	VCULX	Growth Fund Growth	Pair Corr
0.64	VLCGX	Large Capital Growth	Pair Corr
0.76	FSELX	Fidelity Select Semi	Pair Corr
0.77	FSPTX	Technology Portfolio	Pair Corr
0.96	VITAX	Vanguard Information	Pair Corr

Moving against Science Mutual Fund

0.42	PMPIX	Precious Metals Ultr Steady Growth	Pair Corr
0.42	PMPSX	Precious Metals Ultr Steady Growth	Pair Corr
0.41	FGPMX	Franklin Gold And	Pair Corr
0.32	FRGOX	Franklin Gold Precious	Pair Corr
0.32	MIDSX	Midas Fund Midas	Pair Corr

Related Correlations Analysis

	VMIDX	VMSGX	VAPPX	VSRDX	VSTIX	VSSVX	VBCVX	VCAAX	VCBDX	VCBCX
VMIDX		0.35	0.26	0.34	0.79	0.96	0.67	0.44	0.16	0.29	VMIDX
VMSGX	0.35		0.62	0.93	0.34	0.29	0.2	0.7	0.03	0.63	VMSGX
VAPPX	0.26	0.62		0.81	0.56	0.14	0.45	0.92	0.3	0.98	VAPPX
VSRDX	0.34	0.93	0.81		0.42	0.27	0.37	0.85	0.15	0.81	VSRDX
VSTIX	0.79	0.34	0.56	0.42		0.64	0.58	0.64	0.28	0.59	VSTIX
VSSVX	0.96	0.29	0.14	0.27	0.64		0.69	0.35	0.13	0.16	VSSVX
VBCVX	0.67	0.2	0.45	0.37	0.58	0.69		0.57	0.35	0.44	VBCVX
VCAAX	0.44	0.7	0.92	0.85	0.64	0.35	0.57		0.46	0.93	VCAAX
VCBDX	0.16	0.03	0.3	0.15	0.28	0.13	0.35	0.46		0.26	VCBDX
VCBCX	0.29	0.63	0.98	0.81	0.59	0.16	0.44	0.93	0.26		VCBCX
	VMIDX	VMSGX	VAPPX	VSRDX	VSTIX	VSSVX	VBCVX	VCAAX	VCBDX	VCBCX

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Risk-Adjusted Indicators

There is a big difference between Science Mutual Fund performing well and Science Technology 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 Science Technology'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
VMIDX	0.74	0.06	(0.01)	(0.90)	1.02	(0.69)	1.83	(1.58)	3.82
VMSGX	0.86	(0.09)	(0.06)	(0.01)	1.19	(0.84)	1.54	(1.94)	4.48
VAPPX	0.76	(0.03)	(0.02)	0.04	1.26	(0.66)	1.63	(2.03)	4.52
VSRDX	0.60	(0.04)	(0.05)	0.02	0.93	(0.55)	1.15	(1.50)	3.46
VSTIX	0.57	0.06	(0.01)	0.91	0.84	(0.56)	1.23	(1.18)	3.27
VSSVX	0.72	0.05	(0.02)	(4.63)	0.87	(0.84)	1.66	(1.50)	4.06
VBCVX	0.51	0.02	0.00	0.09	0.58	(0.52)	1.02	(1.07)	2.75
VCAAX	0.34	(0.02)	(0.10)	0.03	0.48	(0.33)	0.71	(0.71)	2.27
VCBDX	0.17	0.00	(0.28)	0.17	0.14	(0.21)	0.30	(0.30)	0.98
VCBCX	0.75	(0.03)	(0.03)	0.04	1.13	(0.70)	1.76	(1.78)	4.37

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