Correlation Between IShares Bitcoin and Calamos ETF
Can any of the company-specific risk be diversified away by investing in both IShares Bitcoin and Calamos ETF at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining IShares Bitcoin and Calamos ETF into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between iShares Bitcoin Trust and Calamos ETF Trust, you can compare the effects of market volatilities on IShares Bitcoin and Calamos ETF and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in IShares Bitcoin with a short position of Calamos ETF. Check out your portfolio center. Please also check ongoing floating volatility patterns of IShares Bitcoin and Calamos ETF.
Diversification Opportunities for IShares Bitcoin and Calamos ETF
-0.34 | Correlation Coefficient |
Very good diversification
The 3 months correlation between IShares and Calamos is -0.34. Overlapping area represents the amount of risk that can be diversified away by holding iShares Bitcoin Trust and Calamos ETF Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Calamos ETF Trust and IShares Bitcoin is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on iShares Bitcoin Trust are associated (or correlated) with Calamos ETF. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Calamos ETF Trust has no effect on the direction of IShares Bitcoin i.e., IShares Bitcoin and Calamos ETF go up and down completely randomly.
Pair Corralation between IShares Bitcoin and Calamos ETF
Given the investment horizon of 90 days iShares Bitcoin Trust is expected to generate 27.83 times more return on investment than Calamos ETF. However, IShares Bitcoin is 27.83 times more volatile than Calamos ETF Trust. It trades about 0.27 of its potential returns per unit of risk. Calamos ETF Trust is currently generating about 0.29 per unit of risk. If you would invest 3,325 in iShares Bitcoin Trust on September 12, 2024 and sell it today you would earn a total of 2,447 from holding iShares Bitcoin Trust or generate 73.59% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 43.75% |
Values | Daily Returns |
iShares Bitcoin Trust vs. Calamos ETF Trust
Performance |
Timeline |
iShares Bitcoin Trust |
Calamos ETF Trust |
IShares Bitcoin and Calamos ETF Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with IShares Bitcoin and Calamos ETF
The main advantage of trading using opposite IShares Bitcoin and Calamos ETF positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IShares Bitcoin position performs unexpectedly, Calamos ETF can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Calamos ETF will offset losses from the drop in Calamos ETF's long position.IShares Bitcoin vs. ProShares Trust | IShares Bitcoin vs. iShares Ethereum Trust | IShares Bitcoin vs. ProShares Trust | IShares Bitcoin vs. Grayscale Ethereum Trust |
Calamos ETF vs. FT Vest Equity | Calamos ETF vs. Northern Lights | Calamos ETF vs. Dimensional International High | Calamos ETF vs. JPMorgan Fundamental Data |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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