Correlation Between GM and FPX Nickel
Can any of the company-specific risk be diversified away by investing in both GM 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 GM and FPX Nickel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and FPX Nickel Corp, you can compare the effects of market volatilities on GM 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 GM with a short position of FPX Nickel. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and FPX Nickel.
Diversification Opportunities for GM and FPX Nickel
-0.54 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between GM and FPX is -0.54. Overlapping area represents the amount of risk that can be diversified away by holding General Motors 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 GM 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 General Motors 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 GM i.e., GM and FPX Nickel go up and down completely randomly.
Pair Corralation between GM and FPX Nickel
Allowing for the 90-day total investment horizon General Motors is expected to generate 0.9 times more return on investment than FPX Nickel. However, General Motors is 1.11 times less risky than FPX Nickel. It trades about 0.17 of its potential returns per unit of risk. FPX Nickel Corp is currently generating about -0.1 per unit of risk. If you would invest 5,076 in General Motors on September 1, 2024 and sell it today you would earn a total of 483.00 from holding General Motors or generate 9.52% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 95.45% |
| Values | Daily Returns |
General Motors vs. FPX Nickel Corp
Performance |
| Timeline |
| General Motors |
| FPX Nickel Corp |
GM and FPX Nickel Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with GM and FPX Nickel
The main advantage of trading using opposite GM and FPX Nickel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM 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.The idea behind General Motors and FPX Nickel Corp pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| FPX Nickel vs. Datable Technology Corp | FPX Nickel vs. Perseus Mining | FPX Nickel vs. Quipt Home Medical | FPX Nickel vs. Eddy Smart Home |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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