Correlation Between Chesapeake Utilities and DISTRICT METALS
Can any of the company-specific risk be diversified away by investing in both Chesapeake Utilities and DISTRICT METALS 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 DISTRICT METALS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Chesapeake Utilities and DISTRICT METALS, you can compare the effects of market volatilities on Chesapeake Utilities and DISTRICT METALS 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 DISTRICT METALS. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chesapeake Utilities and DISTRICT METALS.
Diversification Opportunities for Chesapeake Utilities and DISTRICT METALS
-0.31 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Chesapeake and DISTRICT is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding Chesapeake Utilities and DISTRICT METALS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DISTRICT METALS 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 DISTRICT METALS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DISTRICT METALS has no effect on the direction of Chesapeake Utilities i.e., Chesapeake Utilities and DISTRICT METALS go up and down completely randomly.
Pair Corralation between Chesapeake Utilities and DISTRICT METALS
Assuming the 90 days horizon Chesapeake Utilities is expected to generate 0.28 times more return on investment than DISTRICT METALS. However, Chesapeake Utilities is 3.56 times less risky than DISTRICT METALS. It trades about 0.1 of its potential returns per unit of risk. DISTRICT METALS is currently generating about 0.02 per unit of risk. If you would invest 10,746 in Chesapeake Utilities on October 7, 2024 and sell it today you would earn a total of 854.00 from holding Chesapeake Utilities or generate 7.95% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Chesapeake Utilities vs. DISTRICT METALS
Performance |
Timeline |
Chesapeake Utilities |
DISTRICT METALS |
Chesapeake Utilities and DISTRICT METALS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Chesapeake Utilities and DISTRICT METALS
The main advantage of trading using opposite Chesapeake Utilities and DISTRICT METALS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chesapeake Utilities position performs unexpectedly, DISTRICT METALS 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 DISTRICT METALS will offset losses from the drop in DISTRICT METALS's long position.Chesapeake Utilities vs. T MOBILE US | Chesapeake Utilities vs. REVO INSURANCE SPA | Chesapeake Utilities vs. JSC Halyk bank | Chesapeake Utilities vs. Erste Group Bank |
DISTRICT METALS vs. alstria office REIT AG | DISTRICT METALS vs. 24SEVENOFFICE GROUP AB | DISTRICT METALS vs. De Grey Mining | DISTRICT METALS vs. DFS Furniture 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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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