Correlation Between Lockheed Martin and Samsung Electronics
Can any of the company-specific risk be diversified away by investing in both Lockheed Martin and Samsung Electronics 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 Lockheed Martin and Samsung Electronics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lockheed Martin and Samsung Electronics Co, you can compare the effects of market volatilities on Lockheed Martin and Samsung Electronics 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 Lockheed Martin with a short position of Samsung Electronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lockheed Martin and Samsung Electronics.
Diversification Opportunities for Lockheed Martin and Samsung Electronics
0.4 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Lockheed and Samsung is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding Lockheed Martin and Samsung Electronics Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samsung Electronics and Lockheed Martin 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 Lockheed Martin are associated (or correlated) with Samsung Electronics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Samsung Electronics has no effect on the direction of Lockheed Martin i.e., Lockheed Martin and Samsung Electronics go up and down completely randomly.
Pair Corralation between Lockheed Martin and Samsung Electronics
Assuming the 90 days trading horizon Lockheed Martin is expected to generate 0.69 times more return on investment than Samsung Electronics. However, Lockheed Martin is 1.45 times less risky than Samsung Electronics. It trades about 0.09 of its potential returns per unit of risk. Samsung Electronics Co is currently generating about -0.01 per unit of risk. If you would invest 737,763 in Lockheed Martin on September 14, 2024 and sell it today you would earn a total of 276,437 from holding Lockheed Martin or generate 37.47% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Lockheed Martin vs. Samsung Electronics Co
Performance |
| Timeline |
| Lockheed Martin |
| Samsung Electronics |
Lockheed Martin and Samsung Electronics Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Lockheed Martin and Samsung Electronics
The main advantage of trading using opposite Lockheed Martin and Samsung Electronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lockheed Martin position performs unexpectedly, Samsung Electronics 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 Samsung Electronics will offset losses from the drop in Samsung Electronics' long position.| Lockheed Martin vs. The Boeing | Lockheed Martin vs. General Dynamics | Lockheed Martin vs. Textron | Lockheed Martin vs. Netflix |
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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