Correlation Between Lockheed Martin and Sika AG
Can any of the company-specific risk be diversified away by investing in both Lockheed Martin and Sika AG 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 Sika AG into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lockheed Martin and Sika AG, you can compare the effects of market volatilities on Lockheed Martin and Sika AG 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 Sika AG. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lockheed Martin and Sika AG.
Diversification Opportunities for Lockheed Martin and Sika AG
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Lockheed and Sika is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding Lockheed Martin and Sika AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sika AG 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 Sika AG. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sika AG has no effect on the direction of Lockheed Martin i.e., Lockheed Martin and Sika AG go up and down completely randomly.
Pair Corralation between Lockheed Martin and Sika AG
Considering the 90-day investment horizon Lockheed Martin is expected to generate 0.47 times more return on investment than Sika AG. However, Lockheed Martin is 2.12 times less risky than Sika AG. It trades about -0.19 of its potential returns per unit of risk. Sika AG is currently generating about -0.1 per unit of risk. If you would invest 57,110 in Lockheed Martin on August 24, 2024 and sell it today you would lose (2,909) from holding Lockheed Martin or give up 5.09% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Lockheed Martin vs. Sika AG
Performance |
Timeline |
Lockheed Martin |
Sika AG |
Lockheed Martin and Sika AG Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lockheed Martin and Sika AG
The main advantage of trading using opposite Lockheed Martin and Sika AG positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lockheed Martin position performs unexpectedly, Sika AG 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 Sika AG will offset losses from the drop in Sika AG's long position.Lockheed Martin vs. Northrop Grumman | Lockheed Martin vs. General Dynamics | Lockheed Martin vs. L3Harris Technologies | Lockheed Martin vs. The Boeing |
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 Anywhere module to track or share privately all of your investments from the convenience of any device.
Other Complementary Tools
Commodity Channel Use Commodity Channel Index to analyze current equity momentum | |
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
Commodity Directory Find actively traded commodities issued by global exchanges | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
Odds Of Bankruptcy Get analysis of equity chance of financial distress in the next 2 years |