Correlation Between Bitcoin ETF and Picton Mahoney
Can any of the company-specific risk be diversified away by investing in both Bitcoin ETF and Picton Mahoney 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 Picton Mahoney 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 Picton Mahoney Fortified, you can compare the effects of market volatilities on Bitcoin ETF and Picton Mahoney 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 Picton Mahoney. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bitcoin ETF and Picton Mahoney.
Diversification Opportunities for Bitcoin ETF and Picton Mahoney
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Bitcoin and Picton is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding Bitcoin ETF CAD and Picton Mahoney Fortified in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Picton Mahoney Fortified 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 Picton Mahoney. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Picton Mahoney Fortified has no effect on the direction of Bitcoin ETF i.e., Bitcoin ETF and Picton Mahoney go up and down completely randomly.
Pair Corralation between Bitcoin ETF and Picton Mahoney
Assuming the 90 days trading horizon Bitcoin ETF CAD is expected to generate 7.99 times more return on investment than Picton Mahoney. However, Bitcoin ETF is 7.99 times more volatile than Picton Mahoney Fortified. It trades about 0.36 of its potential returns per unit of risk. Picton Mahoney Fortified is currently generating about 0.32 per unit of risk. If you would invest 3,457 in Bitcoin ETF CAD on August 28, 2024 and sell it today you would earn a total of 1,289 from holding Bitcoin ETF CAD or generate 37.29% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Bitcoin ETF CAD vs. Picton Mahoney Fortified
Performance |
| Timeline |
| Bitcoin ETF CAD |
| Picton Mahoney Fortified |
Bitcoin ETF and Picton Mahoney Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bitcoin ETF and Picton Mahoney
The main advantage of trading using opposite Bitcoin ETF and Picton Mahoney positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bitcoin ETF position performs unexpectedly, Picton Mahoney 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 Picton Mahoney will offset losses from the drop in Picton Mahoney'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 |
| Picton Mahoney vs. Global X Active | Picton Mahoney vs. Global X Active | Picton Mahoney vs. Global X Active | Picton Mahoney vs. Global X Active |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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