Correlation Between Ninepoint Bitcoin and Picton Mahoney
Can any of the company-specific risk be diversified away by investing in both Ninepoint Bitcoin 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 Ninepoint Bitcoin and Picton Mahoney into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ninepoint Bitcoin ETF and Picton Mahoney Fortified, you can compare the effects of market volatilities on Ninepoint Bitcoin 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 Ninepoint Bitcoin with a short position of Picton Mahoney. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ninepoint Bitcoin and Picton Mahoney.
Diversification Opportunities for Ninepoint Bitcoin and Picton Mahoney
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Ninepoint and Picton is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding Ninepoint Bitcoin ETF 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 Ninepoint 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 Ninepoint Bitcoin ETF 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 Ninepoint Bitcoin i.e., Ninepoint Bitcoin and Picton Mahoney go up and down completely randomly.
Pair Corralation between Ninepoint Bitcoin and Picton Mahoney
Assuming the 90 days trading horizon Ninepoint Bitcoin ETF is expected to generate 5.31 times more return on investment than Picton Mahoney. However, Ninepoint Bitcoin is 5.31 times more volatile than Picton Mahoney Fortified. It trades about 0.1 of its potential returns per unit of risk. Picton Mahoney Fortified is currently generating about 0.06 per unit of risk. If you would invest 777.00 in Ninepoint Bitcoin ETF on October 4, 2024 and sell it today you would earn a total of 1,677 from holding Ninepoint Bitcoin ETF or generate 215.83% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Ninepoint Bitcoin ETF vs. Picton Mahoney Fortified
Performance |
Timeline |
Ninepoint Bitcoin ETF |
Picton Mahoney Fortified |
Ninepoint Bitcoin and Picton Mahoney Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ninepoint Bitcoin and Picton Mahoney
The main advantage of trading using opposite Ninepoint Bitcoin and Picton Mahoney positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ninepoint Bitcoin 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.Ninepoint Bitcoin vs. 3iQ Bitcoin ETF | Ninepoint Bitcoin vs. Purpose Bitcoin CAD | Ninepoint Bitcoin vs. 3iQ CoinShares Ether | Ninepoint Bitcoin vs. BetaPro Inverse Bitcoin |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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