Correlation Between TTM Technologies and KIMBALL ELECTRONICS
Can any of the company-specific risk be diversified away by investing in both TTM Technologies and KIMBALL ELECTRONICS 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 TTM Technologies and KIMBALL ELECTRONICS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between TTM Technologies and KIMBALL ELECTRONICS, you can compare the effects of market volatilities on TTM Technologies and KIMBALL ELECTRONICS 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 TTM Technologies with a short position of KIMBALL ELECTRONICS. Check out your portfolio center. Please also check ongoing floating volatility patterns of TTM Technologies and KIMBALL ELECTRONICS.
Diversification Opportunities for TTM Technologies and KIMBALL ELECTRONICS
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between TTM and KIMBALL is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding TTM Technologies and KIMBALL ELECTRONICS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KIMBALL ELECTRONICS and TTM Technologies 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 TTM Technologies are associated (or correlated) with KIMBALL ELECTRONICS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KIMBALL ELECTRONICS has no effect on the direction of TTM Technologies i.e., TTM Technologies and KIMBALL ELECTRONICS go up and down completely randomly.
Pair Corralation between TTM Technologies and KIMBALL ELECTRONICS
Assuming the 90 days horizon TTM Technologies is expected to generate 0.6 times more return on investment than KIMBALL ELECTRONICS. However, TTM Technologies is 1.66 times less risky than KIMBALL ELECTRONICS. It trades about 0.19 of its potential returns per unit of risk. KIMBALL ELECTRONICS is currently generating about 0.07 per unit of risk. If you would invest 2,040 in TTM Technologies on October 6, 2024 and sell it today you would earn a total of 320.00 from holding TTM Technologies or generate 15.69% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 97.5% |
Values | Daily Returns |
TTM Technologies vs. KIMBALL ELECTRONICS
Performance |
Timeline |
TTM Technologies |
KIMBALL ELECTRONICS |
TTM Technologies and KIMBALL ELECTRONICS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with TTM Technologies and KIMBALL ELECTRONICS
The main advantage of trading using opposite TTM Technologies and KIMBALL ELECTRONICS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if TTM Technologies position performs unexpectedly, KIMBALL ELECTRONICS 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 KIMBALL ELECTRONICS will offset losses from the drop in KIMBALL ELECTRONICS's long position.TTM Technologies vs. Jabil Inc | TTM Technologies vs. Plexus Corp | TTM Technologies vs. AT S Austria | TTM Technologies vs. Benchmark Electronics |
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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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