Correlation Between Bakkt Holdings and Arqit Quantum
Can any of the company-specific risk be diversified away by investing in both Bakkt Holdings and Arqit Quantum 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 Bakkt Holdings and Arqit Quantum into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bakkt Holdings Warrant and Arqit Quantum Warrants, you can compare the effects of market volatilities on Bakkt Holdings and Arqit Quantum 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 Bakkt Holdings with a short position of Arqit Quantum. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bakkt Holdings and Arqit Quantum.
Diversification Opportunities for Bakkt Holdings and Arqit Quantum
0.16 | Correlation Coefficient |
Average diversification
The 3 months correlation between Bakkt and Arqit is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding Bakkt Holdings Warrant and Arqit Quantum Warrants in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Arqit Quantum Warrants and Bakkt Holdings 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 Bakkt Holdings Warrant are associated (or correlated) with Arqit Quantum. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Arqit Quantum Warrants has no effect on the direction of Bakkt Holdings i.e., Bakkt Holdings and Arqit Quantum go up and down completely randomly.
Pair Corralation between Bakkt Holdings and Arqit Quantum
Assuming the 90 days trading horizon Bakkt Holdings is expected to generate 1.3 times less return on investment than Arqit Quantum. But when comparing it to its historical volatility, Bakkt Holdings Warrant is 1.36 times less risky than Arqit Quantum. It trades about 0.14 of its potential returns per unit of risk. Arqit Quantum Warrants is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest 37.00 in Arqit Quantum Warrants on September 17, 2024 and sell it today you would earn a total of 12.00 from holding Arqit Quantum Warrants or generate 32.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 96.92% |
Values | Daily Returns |
Bakkt Holdings Warrant vs. Arqit Quantum Warrants
Performance |
Timeline |
Bakkt Holdings Warrant |
Arqit Quantum Warrants |
Bakkt Holdings and Arqit Quantum Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bakkt Holdings and Arqit Quantum
The main advantage of trading using opposite Bakkt Holdings and Arqit Quantum positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bakkt Holdings position performs unexpectedly, Arqit Quantum 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 Arqit Quantum will offset losses from the drop in Arqit Quantum's long position.Bakkt Holdings vs. Copa Holdings SA | Bakkt Holdings vs. United Airlines Holdings | Bakkt Holdings vs. Delta Air Lines | Bakkt Holdings vs. SkyWest |
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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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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