Correlation Between FPX Nickel and St Georges
Can any of the company-specific risk be diversified away by investing in both FPX Nickel and St Georges 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 FPX Nickel and St Georges into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FPX Nickel Corp and St Georges Eco Mining Corp, you can compare the effects of market volatilities on FPX Nickel and St Georges 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 FPX Nickel with a short position of St Georges. Check out your portfolio center. Please also check ongoing floating volatility patterns of FPX Nickel and St Georges.
Diversification Opportunities for FPX Nickel and St Georges
-0.16 | Correlation Coefficient |
Good diversification
The 3 months correlation between FPX and SXOOF is -0.16. Overlapping area represents the amount of risk that can be diversified away by holding FPX Nickel Corp and St Georges Eco Mining Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on St Georges Eco and FPX Nickel 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 FPX Nickel Corp are associated (or correlated) with St Georges. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of St Georges Eco has no effect on the direction of FPX Nickel i.e., FPX Nickel and St Georges go up and down completely randomly.
Pair Corralation between FPX Nickel and St Georges
Assuming the 90 days horizon FPX Nickel Corp is expected to under-perform the St Georges. But the otc stock apears to be less risky and, when comparing its historical volatility, FPX Nickel Corp is 3.39 times less risky than St Georges. The otc stock trades about -0.08 of its potential returns per unit of risk. The St Georges Eco Mining Corp is currently generating about 0.33 of returns per unit of risk over similar time horizon. If you would invest 3.30 in St Georges Eco Mining Corp on October 9, 2024 and sell it today you would earn a total of 2.50 from holding St Georges Eco Mining Corp or generate 75.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
FPX Nickel Corp vs. St Georges Eco Mining Corp
Performance |
Timeline |
FPX Nickel Corp |
St Georges Eco |
FPX Nickel and St Georges Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FPX Nickel and St Georges
The main advantage of trading using opposite FPX Nickel and St Georges positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FPX Nickel position performs unexpectedly, St Georges 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 St Georges will offset losses from the drop in St Georges' long position.FPX Nickel vs. Oroco Resource Corp | FPX Nickel vs. Syrah Resources Limited | FPX Nickel vs. Graphite One | FPX Nickel vs. Westwater Resources |
St Georges vs. Artemis Resources | St Georges vs. Atco Mining | St Georges vs. American Lithium Minerals | St Georges vs. Surge Battery Metals |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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