Correlation Between Flying Nickel and Euro Manganese
Can any of the company-specific risk be diversified away by investing in both Flying Nickel and Euro Manganese 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 Flying Nickel and Euro Manganese into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Flying Nickel Mining and Euro Manganese, you can compare the effects of market volatilities on Flying Nickel and Euro Manganese 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 Flying Nickel with a short position of Euro Manganese. Check out your portfolio center. Please also check ongoing floating volatility patterns of Flying Nickel and Euro Manganese.
Diversification Opportunities for Flying Nickel and Euro Manganese
0.07 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Flying and Euro is 0.07. Overlapping area represents the amount of risk that can be diversified away by holding Flying Nickel Mining and Euro Manganese in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Euro Manganese and Flying 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 Flying Nickel Mining are associated (or correlated) with Euro Manganese. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Euro Manganese has no effect on the direction of Flying Nickel i.e., Flying Nickel and Euro Manganese go up and down completely randomly.
Pair Corralation between Flying Nickel and Euro Manganese
Assuming the 90 days horizon Flying Nickel Mining is expected to generate 1.9 times more return on investment than Euro Manganese. However, Flying Nickel is 1.9 times more volatile than Euro Manganese. It trades about 0.05 of its potential returns per unit of risk. Euro Manganese is currently generating about -0.01 per unit of risk. If you would invest 5.01 in Flying Nickel Mining on September 3, 2024 and sell it today you would lose (1.51) from holding Flying Nickel Mining or give up 30.14% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Flying Nickel Mining vs. Euro Manganese
Performance |
Timeline |
Flying Nickel Mining |
Euro Manganese |
Flying Nickel and Euro Manganese Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Flying Nickel and Euro Manganese
The main advantage of trading using opposite Flying Nickel and Euro Manganese positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Flying Nickel position performs unexpectedly, Euro Manganese 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 Euro Manganese will offset losses from the drop in Euro Manganese's long position.Flying Nickel vs. Qubec Nickel Corp | Flying Nickel vs. IGO Limited | Flying Nickel vs. Anson Resources Limited | Flying Nickel vs. Avarone Metals |
Euro Manganese vs. Bravada Gold | Euro Manganese vs. Silver Spruce Resources | Euro Manganese vs. Monitor Ventures | Euro Manganese vs. Pershing 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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