Correlation Between Reliance Steel and General Dynamics
Can any of the company-specific risk be diversified away by investing in both Reliance Steel and General Dynamics 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 Reliance Steel and General Dynamics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Reliance Steel Aluminum and General Dynamics, you can compare the effects of market volatilities on Reliance Steel and General Dynamics 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 Reliance Steel with a short position of General Dynamics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Reliance Steel and General Dynamics.
Diversification Opportunities for Reliance Steel and General Dynamics
0.01 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Reliance and General is 0.01. Overlapping area represents the amount of risk that can be diversified away by holding Reliance Steel Aluminum and General Dynamics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on General Dynamics and Reliance Steel 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 Reliance Steel Aluminum are associated (or correlated) with General Dynamics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of General Dynamics has no effect on the direction of Reliance Steel i.e., Reliance Steel and General Dynamics go up and down completely randomly.
Pair Corralation between Reliance Steel and General Dynamics
Assuming the 90 days horizon Reliance Steel Aluminum is expected to generate 1.33 times more return on investment than General Dynamics. However, Reliance Steel is 1.33 times more volatile than General Dynamics. It trades about 0.14 of its potential returns per unit of risk. General Dynamics is currently generating about -0.03 per unit of risk. If you would invest 24,569 in Reliance Steel Aluminum on September 13, 2024 and sell it today you would earn a total of 4,521 from holding Reliance Steel Aluminum or generate 18.4% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Reliance Steel Aluminum vs. General Dynamics
Performance |
Timeline |
Reliance Steel Aluminum |
General Dynamics |
Reliance Steel and General Dynamics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Reliance Steel and General Dynamics
The main advantage of trading using opposite Reliance Steel and General Dynamics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Reliance Steel position performs unexpectedly, General Dynamics 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 General Dynamics will offset losses from the drop in General Dynamics' long position.Reliance Steel vs. Transportadora de Gas | Reliance Steel vs. Monster Beverage Corp | Reliance Steel vs. THAI BEVERAGE | Reliance Steel vs. PARKEN Sport Entertainment |
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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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