Correlation Between GCM Grosvenor and FPX Nickel
Can any of the company-specific risk be diversified away by investing in both GCM Grosvenor and FPX Nickel 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 GCM Grosvenor and FPX Nickel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GCM Grosvenor and FPX Nickel Corp, you can compare the effects of market volatilities on GCM Grosvenor and FPX Nickel 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 GCM Grosvenor with a short position of FPX Nickel. Check out your portfolio center. Please also check ongoing floating volatility patterns of GCM Grosvenor and FPX Nickel.
Diversification Opportunities for GCM Grosvenor and FPX Nickel
-0.62 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between GCM and FPX is -0.62. Overlapping area represents the amount of risk that can be diversified away by holding GCM Grosvenor and FPX Nickel Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FPX Nickel Corp and GCM Grosvenor 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 GCM Grosvenor are associated (or correlated) with FPX Nickel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FPX Nickel Corp has no effect on the direction of GCM Grosvenor i.e., GCM Grosvenor and FPX Nickel go up and down completely randomly.
Pair Corralation between GCM Grosvenor and FPX Nickel
Assuming the 90 days horizon GCM Grosvenor is expected to generate 1.94 times more return on investment than FPX Nickel. However, GCM Grosvenor is 1.94 times more volatile than FPX Nickel Corp. It trades about 0.15 of its potential returns per unit of risk. FPX Nickel Corp is currently generating about -0.02 per unit of risk. If you would invest 70.00 in GCM Grosvenor on September 13, 2024 and sell it today you would earn a total of 50.00 from holding GCM Grosvenor or generate 71.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 93.75% |
Values | Daily Returns |
GCM Grosvenor vs. FPX Nickel Corp
Performance |
Timeline |
GCM Grosvenor |
FPX Nickel Corp |
GCM Grosvenor and FPX Nickel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GCM Grosvenor and FPX Nickel
The main advantage of trading using opposite GCM Grosvenor and FPX Nickel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GCM Grosvenor position performs unexpectedly, FPX Nickel 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 FPX Nickel will offset losses from the drop in FPX Nickel's long position.GCM Grosvenor vs. Visa Class A | GCM Grosvenor vs. Diamond Hill Investment | GCM Grosvenor vs. Distoken Acquisition | GCM Grosvenor vs. AllianceBernstein Holding LP |
FPX Nickel vs. Oroco Resource Corp | FPX Nickel vs. Syrah Resources Limited | FPX Nickel vs. Graphite One | FPX Nickel vs. Westwater Resources |
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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