Correlation Between Chesapeake Utilities and Tower Semiconductor
Can any of the company-specific risk be diversified away by investing in both Chesapeake Utilities and Tower Semiconductor 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 Chesapeake Utilities and Tower Semiconductor into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Chesapeake Utilities and Tower Semiconductor, you can compare the effects of market volatilities on Chesapeake Utilities and Tower Semiconductor 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 Chesapeake Utilities with a short position of Tower Semiconductor. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chesapeake Utilities and Tower Semiconductor.
Diversification Opportunities for Chesapeake Utilities and Tower Semiconductor
0.02 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Chesapeake and Tower is 0.02. Overlapping area represents the amount of risk that can be diversified away by holding Chesapeake Utilities and Tower Semiconductor in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tower Semiconductor and Chesapeake Utilities 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 Chesapeake Utilities are associated (or correlated) with Tower Semiconductor. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tower Semiconductor has no effect on the direction of Chesapeake Utilities i.e., Chesapeake Utilities and Tower Semiconductor go up and down completely randomly.
Pair Corralation between Chesapeake Utilities and Tower Semiconductor
Assuming the 90 days horizon Chesapeake Utilities is expected to generate 0.48 times more return on investment than Tower Semiconductor. However, Chesapeake Utilities is 2.09 times less risky than Tower Semiconductor. It trades about 0.0 of its potential returns per unit of risk. Tower Semiconductor is currently generating about -0.18 per unit of risk. If you would invest 11,341 in Chesapeake Utilities on December 23, 2024 and sell it today you would lose (41.00) from holding Chesapeake Utilities or give up 0.36% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Chesapeake Utilities vs. Tower Semiconductor
Performance |
Timeline |
Chesapeake Utilities |
Tower Semiconductor |
Chesapeake Utilities and Tower Semiconductor Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Chesapeake Utilities and Tower Semiconductor
The main advantage of trading using opposite Chesapeake Utilities and Tower Semiconductor positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chesapeake Utilities position performs unexpectedly, Tower Semiconductor 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 Tower Semiconductor will offset losses from the drop in Tower Semiconductor's long position.Chesapeake Utilities vs. The Hanover Insurance | Chesapeake Utilities vs. NH HOTEL GROUP | Chesapeake Utilities vs. Zurich Insurance Group | Chesapeake Utilities vs. PANIN INSURANCE |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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