Correlation Between Samsung Electronics and Lockheed Martin
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and Lockheed Martin 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 Samsung Electronics and Lockheed Martin into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Samsung Electronics Co and Lockheed Martin, you can compare the effects of market volatilities on Samsung Electronics and Lockheed Martin 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 Samsung Electronics with a short position of Lockheed Martin. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and Lockheed Martin.
Diversification Opportunities for Samsung Electronics and Lockheed Martin
0.4 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Samsung and Lockheed is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and Lockheed Martin in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lockheed Martin and Samsung Electronics 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 Samsung Electronics Co are associated (or correlated) with Lockheed Martin. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lockheed Martin has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and Lockheed Martin go up and down completely randomly.
Pair Corralation between Samsung Electronics and Lockheed Martin
Assuming the 90 days trading horizon Samsung Electronics Co is expected to generate 1.07 times more return on investment than Lockheed Martin. However, Samsung Electronics is 1.07 times more volatile than Lockheed Martin. It trades about -0.09 of its potential returns per unit of risk. Lockheed Martin is currently generating about -0.46 per unit of risk. If you would invest 1,992,506 in Samsung Electronics Co on September 17, 2024 and sell it today you would lose (46,756) from holding Samsung Electronics Co or give up 2.35% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Samsung Electronics Co vs. Lockheed Martin
Performance |
Timeline |
Samsung Electronics |
Lockheed Martin |
Samsung Electronics and Lockheed Martin Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and Lockheed Martin
The main advantage of trading using opposite Samsung Electronics and Lockheed Martin positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, Lockheed Martin 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 Lockheed Martin will offset losses from the drop in Lockheed Martin's long position.Samsung Electronics vs. United Airlines Holdings | Samsung Electronics vs. Verizon Communications | Samsung Electronics vs. GMxico Transportes SAB | Samsung Electronics vs. Deutsche Bank Aktiengesellschaft |
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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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