Correlation Between KIMBALL ELECTRONICS and LPKF Laser
Can any of the company-specific risk be diversified away by investing in both KIMBALL ELECTRONICS and LPKF Laser 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 KIMBALL ELECTRONICS and LPKF Laser into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between KIMBALL ELECTRONICS and LPKF Laser Electronics, you can compare the effects of market volatilities on KIMBALL ELECTRONICS and LPKF Laser 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 KIMBALL ELECTRONICS with a short position of LPKF Laser. Check out your portfolio center. Please also check ongoing floating volatility patterns of KIMBALL ELECTRONICS and LPKF Laser.
Diversification Opportunities for KIMBALL ELECTRONICS and LPKF Laser
0.34 | Correlation Coefficient |
Weak diversification
The 3 months correlation between KIMBALL and LPKF is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding KIMBALL ELECTRONICS and LPKF Laser Electronics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LPKF Laser Electronics and KIMBALL 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 KIMBALL ELECTRONICS are associated (or correlated) with LPKF Laser. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LPKF Laser Electronics has no effect on the direction of KIMBALL ELECTRONICS i.e., KIMBALL ELECTRONICS and LPKF Laser go up and down completely randomly.
Pair Corralation between KIMBALL ELECTRONICS and LPKF Laser
Assuming the 90 days horizon KIMBALL ELECTRONICS is expected to generate 1.57 times more return on investment than LPKF Laser. However, KIMBALL ELECTRONICS is 1.57 times more volatile than LPKF Laser Electronics. It trades about 0.18 of its potential returns per unit of risk. LPKF Laser Electronics is currently generating about 0.04 per unit of risk. If you would invest 1,130 in KIMBALL ELECTRONICS on April 22, 2025 and sell it today you would earn a total of 520.00 from holding KIMBALL ELECTRONICS or generate 46.02% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
KIMBALL ELECTRONICS vs. LPKF Laser Electronics
Performance |
Timeline |
KIMBALL ELECTRONICS |
LPKF Laser Electronics |
KIMBALL ELECTRONICS and LPKF Laser Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with KIMBALL ELECTRONICS and LPKF Laser
The main advantage of trading using opposite KIMBALL ELECTRONICS and LPKF Laser positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KIMBALL ELECTRONICS position performs unexpectedly, LPKF Laser 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 LPKF Laser will offset losses from the drop in LPKF Laser's long position.KIMBALL ELECTRONICS vs. Townsquare Media | KIMBALL ELECTRONICS vs. Lendlease Group | KIMBALL ELECTRONICS vs. ZINC MEDIA GR | KIMBALL ELECTRONICS vs. Global Ship Lease |
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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 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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