KraneShares California Correlations
KCCA Etf | USD 20.25 0.16 0.78% |
The current 90-days correlation between KraneShares California and KraneShares European Carbon is -0.26 (i.e., Very good diversification). The correlation of KraneShares California 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.
KraneShares California Correlation With Market
Weak diversification
The correlation between KraneShares California Carbon and DJI is 0.34 (i.e., Weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding KraneShares California Carbon and DJI in the same portfolio, assuming nothing else is changed.
KraneShares |
Moving together with KraneShares Etf
0.61 | GLD | SPDR Gold Shares | PairCorr |
0.62 | SLV | iShares Silver Trust Potential Growth | PairCorr |
0.65 | MCD | McDonalds Fiscal Year End 3rd of February 2025 | PairCorr |
Moving against KraneShares Etf
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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KraneShares California Competition Risk-Adjusted Indicators
There is a big difference between KraneShares Etf performing well and KraneShares California 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 KraneShares California'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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META | 1.06 | 0.06 | 0.02 | 0.20 | 1.40 | 2.62 | 8.02 | |||
MSFT | 0.92 | (0.05) | (0.05) | 0.05 | 1.49 | 2.09 | 8.19 | |||
UBER | 1.62 | (0.12) | (0.05) | 0.00 | 2.30 | 2.69 | 20.10 | |||
F | 1.43 | 0.02 | (0.04) | 0.48 | 2.24 | 2.53 | 11.21 | |||
T | 0.92 | 0.28 | 0.15 | (7.88) | 0.85 | 2.56 | 6.47 | |||
A | 1.17 | (0.09) | 0.00 | (0.05) | 0.00 | 2.71 | 9.02 | |||
CRM | 1.34 | 0.21 | 0.16 | 0.30 | 1.16 | 3.18 | 9.09 | |||
JPM | 1.12 | (0.01) | 0.06 | 0.11 | 1.40 | 2.05 | 15.87 | |||
MRK | 0.91 | (0.21) | 0.00 | (0.74) | 0.00 | 2.00 | 4.89 | |||
XOM | 1.01 | (0.05) | (0.08) | 0.02 | 1.33 | 2.10 | 5.74 |