Correlation Between MAHLE Metal and Lockheed Martin
Can any of the company-specific risk be diversified away by investing in both MAHLE Metal 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 MAHLE Metal and Lockheed Martin into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MAHLE Metal Leve and Lockheed Martin, you can compare the effects of market volatilities on MAHLE Metal 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 MAHLE Metal with a short position of Lockheed Martin. Check out your portfolio center. Please also check ongoing floating volatility patterns of MAHLE Metal and Lockheed Martin.
Diversification Opportunities for MAHLE Metal and Lockheed Martin
0.28 | Correlation Coefficient |
Modest diversification
The 3 months correlation between MAHLE and Lockheed is 0.28. Overlapping area represents the amount of risk that can be diversified away by holding MAHLE Metal Leve and Lockheed Martin in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lockheed Martin and MAHLE Metal 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 MAHLE Metal Leve 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 MAHLE Metal i.e., MAHLE Metal and Lockheed Martin go up and down completely randomly.
Pair Corralation between MAHLE Metal and Lockheed Martin
Assuming the 90 days trading horizon MAHLE Metal Leve is expected to under-perform the Lockheed Martin. But the stock apears to be less risky and, when comparing its historical volatility, MAHLE Metal Leve is 1.25 times less risky than Lockheed Martin. The stock trades about -0.09 of its potential returns per unit of risk. The Lockheed Martin is currently generating about -0.02 of returns per unit of risk over similar time horizon. If you would invest 319,281 in Lockheed Martin on September 12, 2024 and sell it today you would lose (10,818) from holding Lockheed Martin or give up 3.39% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
MAHLE Metal Leve vs. Lockheed Martin
Performance |
Timeline |
MAHLE Metal Leve |
Lockheed Martin |
MAHLE Metal and Lockheed Martin Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MAHLE Metal and Lockheed Martin
The main advantage of trading using opposite MAHLE Metal and Lockheed Martin positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MAHLE Metal 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.MAHLE Metal vs. Tupy SA | MAHLE Metal vs. Engie Brasil Energia | MAHLE Metal vs. Grendene SA | MAHLE Metal vs. M Dias Branco |
Lockheed Martin vs. Tyson Foods | Lockheed Martin vs. T Mobile | Lockheed Martin vs. Metalurgica Gerdau SA | Lockheed Martin vs. MAHLE Metal Leve |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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