Correlation Between GM and Strickland Metals
Can any of the company-specific risk be diversified away by investing in both GM and Strickland Metals 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 Strickland Metals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Strickland Metals, you can compare the effects of market volatilities on GM and Strickland Metals 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 Strickland Metals. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Strickland Metals.
Diversification Opportunities for GM and Strickland Metals
-0.64 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between GM and Strickland is -0.64. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Strickland Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Strickland Metals 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 Strickland Metals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Strickland Metals has no effect on the direction of GM i.e., GM and Strickland Metals go up and down completely randomly.
Pair Corralation between GM and Strickland Metals
Allowing for the 90-day total investment horizon General Motors is expected to generate 0.6 times more return on investment than Strickland Metals. However, General Motors is 1.67 times less risky than Strickland Metals. It trades about 0.08 of its potential returns per unit of risk. Strickland Metals is currently generating about -0.02 per unit of risk. If you would invest 4,803 in General Motors on September 5, 2024 and sell it today you would earn a total of 563.00 from holding General Motors or generate 11.72% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 98.46% |
Values | Daily Returns |
General Motors vs. Strickland Metals
Performance |
Timeline |
General Motors |
Strickland Metals |
GM and Strickland Metals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Strickland Metals
The main advantage of trading using opposite GM and Strickland Metals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Strickland Metals 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 Strickland Metals will offset losses from the drop in Strickland Metals' long position.The idea behind General Motors and Strickland Metals 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.Strickland Metals vs. Northern Star Resources | Strickland Metals vs. Evolution Mining | Strickland Metals vs. Bluescope Steel | Strickland Metals vs. Sandfire Resources NL |
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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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