Correlation Between Sprott Physical and Global Crossing
Can any of the company-specific risk be diversified away by investing in both Sprott Physical and Global Crossing 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 Sprott Physical and Global Crossing into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sprott Physical Gold and Global Crossing Airlines, you can compare the effects of market volatilities on Sprott Physical and Global Crossing 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 Sprott Physical with a short position of Global Crossing. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sprott Physical and Global Crossing.
Diversification Opportunities for Sprott Physical and Global Crossing
-0.4 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Sprott and Global is -0.4. Overlapping area represents the amount of risk that can be diversified away by holding Sprott Physical Gold and Global Crossing Airlines in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Global Crossing Airlines and Sprott Physical 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 Sprott Physical Gold are associated (or correlated) with Global Crossing. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Global Crossing Airlines has no effect on the direction of Sprott Physical i.e., Sprott Physical and Global Crossing go up and down completely randomly.
Pair Corralation between Sprott Physical and Global Crossing
Assuming the 90 days trading horizon Sprott Physical Gold is expected to generate 0.34 times more return on investment than Global Crossing. However, Sprott Physical Gold is 2.98 times less risky than Global Crossing. It trades about 0.08 of its potential returns per unit of risk. Global Crossing Airlines is currently generating about 0.02 per unit of risk. If you would invest 4,100 in Sprott Physical Gold on April 24, 2025 and sell it today you would earn a total of 225.00 from holding Sprott Physical Gold or generate 5.49% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Sprott Physical Gold vs. Global Crossing Airlines
Performance |
Timeline |
Sprott Physical Gold |
Global Crossing Airlines |
Sprott Physical and Global Crossing Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sprott Physical and Global Crossing
The main advantage of trading using opposite Sprott Physical and Global Crossing positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sprott Physical position performs unexpectedly, Global Crossing 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 Global Crossing will offset losses from the drop in Global Crossing's long position.Sprott Physical vs. NVIDIA CDR | Sprott Physical vs. Microsoft Corp CDR | Sprott Physical vs. Apple Inc CDR | Sprott Physical vs. Microsoft CDR |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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