ZW Data Correlations
CNET Stock | USD 1.70 0.05 3.03% |
The current 90-days correlation between ZW Data Action and SRAX Inc is -0.02 (i.e., Good diversification). The correlation of ZW Data 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.
ZW Data Correlation With Market
Average diversification
The correlation between ZW Data Action and DJI is 0.1 (i.e., Average diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding ZW Data Action and DJI in the same portfolio, assuming nothing else is changed.
CNET |
Moving against CNET Stock
0.55 | SE | Sea | PairCorr |
0.51 | DIS | Walt Disney Earnings Call This Week | PairCorr |
0.34 | MGNI | Magnite | PairCorr |
0.45 | Z | Zillow Group Class | PairCorr |
0.45 | ZG | Zillow Group | PairCorr |
0.36 | KT | KT Corporation Earnings Call This Week | PairCorr |
0.32 | ZD | Ziff Davis | PairCorr |
Related Correlations Analysis
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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
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Risk-Adjusted Indicators
There is a big difference between CNET Stock performing well and ZW Data Company 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 ZW Data'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 | ||
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MOXC | 2.41 | 0.04 | (0.01) | (0.01) | 3.32 | 5.81 | 19.32 | |||
FLNT | 2.59 | (0.02) | 0.00 | 0.12 | 0.00 | 6.04 | 18.65 | |||
GSMG | 2.72 | (0.36) | 0.00 | (7.78) | 0.00 | 8.06 | 19.81 | |||
SRAX | 5.75 | (2.12) | 0.00 | 1.44 | 0.00 | 8.76 | 27.85 | |||
MOBQ | 7.86 | (0.35) | 0.00 | 0.22 | 0.00 | 23.53 | 102.08 | |||
MGOL | 7.73 | (3.41) | 0.00 | 3.12 | 0.00 | 10.91 | 81.18 | |||
QNST | 2.35 | 0.34 | 0.13 | 0.43 | 2.49 | 7.18 | 17.37 | |||
DRCT | 28.16 | 8.29 | 0.80 | 0.57 | 9.69 | 10.48 | 932.55 | |||
DMS | 5.18 | (0.72) | 0.00 | 1.36 | 0.00 | 8.96 | 35.56 |
ZW Data Corporate Management
Mingyu Chang | Chief Officer | Profile | |
Wa Chi | Chief Officer | Profile | |
Ken Wu | Chief Officer | Profile | |
Zhongyi Liu | Chief Strategy Officer | Profile | |
Yingguo Guo | Chief Officer | Profile |