Correlation Between LPKF Laser and AerCap Holdings
Can any of the company-specific risk be diversified away by investing in both LPKF Laser and AerCap Holdings 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 LPKF Laser and AerCap Holdings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between LPKF Laser Electronics and AerCap Holdings NV, you can compare the effects of market volatilities on LPKF Laser and AerCap Holdings 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 LPKF Laser with a short position of AerCap Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of LPKF Laser and AerCap Holdings.
Diversification Opportunities for LPKF Laser and AerCap Holdings
0.22 | Correlation Coefficient |
Modest diversification
The 3 months correlation between LPKF and AerCap is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding LPKF Laser Electronics and AerCap Holdings NV in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AerCap Holdings NV and LPKF Laser 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 LPKF Laser Electronics are associated (or correlated) with AerCap Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AerCap Holdings NV has no effect on the direction of LPKF Laser i.e., LPKF Laser and AerCap Holdings go up and down completely randomly.
Pair Corralation between LPKF Laser and AerCap Holdings
Assuming the 90 days horizon LPKF Laser Electronics is expected to under-perform the AerCap Holdings. In addition to that, LPKF Laser is 1.82 times more volatile than AerCap Holdings NV. It trades about -0.04 of its total potential returns per unit of risk. AerCap Holdings NV is currently generating about 0.05 per unit of volatility. If you would invest 9,047 in AerCap Holdings NV on December 20, 2024 and sell it today you would earn a total of 337.00 from holding AerCap Holdings NV or generate 3.72% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
LPKF Laser Electronics vs. AerCap Holdings NV
Performance |
Timeline |
LPKF Laser Electronics |
AerCap Holdings NV |
LPKF Laser and AerCap Holdings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with LPKF Laser and AerCap Holdings
The main advantage of trading using opposite LPKF Laser and AerCap Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if LPKF Laser position performs unexpectedly, AerCap Holdings 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 AerCap Holdings will offset losses from the drop in AerCap Holdings' long position.LPKF Laser vs. CHINA EDUCATION GROUP | LPKF Laser vs. Tradeweb Markets | LPKF Laser vs. Laureate Education | LPKF Laser vs. SIDETRADE EO 1 |
AerCap Holdings vs. LOANDEPOT INC A | AerCap Holdings vs. CITIC Telecom International | AerCap Holdings vs. UNITED RENTALS | AerCap Holdings vs. Spirent Communications plc |
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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