Correlation Between Bitcoin ETF and Harvest Clean
Can any of the company-specific risk be diversified away by investing in both Bitcoin ETF and Harvest Clean 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 Bitcoin ETF and Harvest Clean into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bitcoin ETF CAD and Harvest Clean Energy, you can compare the effects of market volatilities on Bitcoin ETF and Harvest Clean 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 Bitcoin ETF with a short position of Harvest Clean. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bitcoin ETF and Harvest Clean.
Diversification Opportunities for Bitcoin ETF and Harvest Clean
-0.81 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Bitcoin and Harvest is -0.81. Overlapping area represents the amount of risk that can be diversified away by holding Bitcoin ETF CAD and Harvest Clean Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Harvest Clean Energy and Bitcoin ETF 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 Bitcoin ETF CAD are associated (or correlated) with Harvest Clean. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Harvest Clean Energy has no effect on the direction of Bitcoin ETF i.e., Bitcoin ETF and Harvest Clean go up and down completely randomly.
Pair Corralation between Bitcoin ETF and Harvest Clean
Assuming the 90 days trading horizon Bitcoin ETF CAD is expected to generate 2.25 times more return on investment than Harvest Clean. However, Bitcoin ETF is 2.25 times more volatile than Harvest Clean Energy. It trades about 0.41 of its potential returns per unit of risk. Harvest Clean Energy is currently generating about -0.07 per unit of risk. If you would invest 3,350 in Bitcoin ETF CAD on September 4, 2024 and sell it today you would earn a total of 1,455 from holding Bitcoin ETF CAD or generate 43.43% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Bitcoin ETF CAD vs. Harvest Clean Energy
Performance |
| Timeline |
| Bitcoin ETF CAD |
| Harvest Clean Energy |
Bitcoin ETF and Harvest Clean Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bitcoin ETF and Harvest Clean
The main advantage of trading using opposite Bitcoin ETF and Harvest Clean positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bitcoin ETF position performs unexpectedly, Harvest Clean 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 Harvest Clean will offset losses from the drop in Harvest Clean's long position.| Bitcoin ETF vs. Bitcoin ETF | Bitcoin ETF vs. NBI High Yield | Bitcoin ETF vs. NBI Unconstrained Fixed | Bitcoin ETF vs. Mackenzie Developed ex North |
| Harvest Clean vs. Harvest Premium Yield | Harvest Clean vs. Harvest Balanced Income | Harvest Clean vs. Harvest Energy Leaders | Harvest Clean vs. Harvest Eli Lilly |
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 Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
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