Calamos Bitcoin Correlations
CBXJ Etf | 23.85 0.25 1.04% |
The current 90-days correlation between Calamos Bitcoin 90 and Grayscale Funds Trust is -0.17 (i.e., Good diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Calamos Bitcoin moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Calamos Bitcoin 90 moves in either direction, the perfectly negatively correlated security will move in the opposite direction.
Calamos Bitcoin Correlation With Market
Significant diversification
The correlation between Calamos Bitcoin 90 and DJI is 0.01 (i.e., Significant diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Calamos Bitcoin 90 and DJI in the same portfolio, assuming nothing else is changed.
Calamos |
Moving together with Calamos Etf
0.64 | VEA | Vanguard FTSE Developed | PairCorr |
0.75 | CSCO | Cisco Systems | PairCorr |
0.69 | WMT | Walmart | PairCorr |
0.65 | JPM | JPMorgan Chase | PairCorr |
Moving against Calamos 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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Calamos Bitcoin Competition Risk-Adjusted Indicators
There is a big difference between Calamos Etf performing well and Calamos Bitcoin 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 Calamos Bitcoin'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 | ||
---|---|---|---|---|---|---|---|---|---|---|
META | 1.58 | 0.09 | 0.00 | (0.04) | 0.00 | 2.49 | 8.65 | |||
MSFT | 1.07 | (0.15) | 0.00 | (0.39) | 0.00 | 2.56 | 10.31 | |||
UBER | 1.89 | 0.18 | 0.10 | 0.28 | 2.38 | 4.72 | 12.75 | |||
F | 1.40 | 0.06 | 0.00 | (0.08) | 0.00 | 2.71 | 10.14 | |||
T | 1.04 | 0.23 | 0.17 | 0.30 | 1.64 | 1.90 | 11.66 | |||
A | 1.14 | (0.12) | 0.00 | (0.28) | 0.00 | 2.80 | 9.03 | |||
CRM | 1.40 | (0.27) | 0.00 | (0.40) | 0.00 | 2.21 | 8.88 | |||
JPM | 1.07 | 0.03 | 0.00 | (0.12) | 0.00 | 1.97 | 6.85 | |||
MRK | 1.21 | (0.13) | 0.00 | 1.63 | 0.00 | 2.08 | 11.57 | |||
XOM | 1.01 | (0.02) | 0.00 | (0.21) | 0.00 | 2.07 | 5.89 |