Correlation Between Caseys General and COMBA TELECOM
Can any of the company-specific risk be diversified away by investing in both Caseys General and COMBA TELECOM 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 Caseys General and COMBA TELECOM into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Caseys General Stores and COMBA TELECOM SYST, you can compare the effects of market volatilities on Caseys General and COMBA TELECOM 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 Caseys General with a short position of COMBA TELECOM. Check out your portfolio center. Please also check ongoing floating volatility patterns of Caseys General and COMBA TELECOM.
Diversification Opportunities for Caseys General and COMBA TELECOM
-0.56 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Caseys and COMBA is -0.56. Overlapping area represents the amount of risk that can be diversified away by holding Caseys General Stores and COMBA TELECOM SYST in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on COMBA TELECOM SYST and Caseys General 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 Caseys General Stores are associated (or correlated) with COMBA TELECOM. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of COMBA TELECOM SYST has no effect on the direction of Caseys General i.e., Caseys General and COMBA TELECOM go up and down completely randomly.
Pair Corralation between Caseys General and COMBA TELECOM
Assuming the 90 days trading horizon Caseys General Stores is expected to generate 0.64 times more return on investment than COMBA TELECOM. However, Caseys General Stores is 1.57 times less risky than COMBA TELECOM. It trades about 0.15 of its potential returns per unit of risk. COMBA TELECOM SYST is currently generating about 0.06 per unit of risk. If you would invest 33,354 in Caseys General Stores on October 4, 2024 and sell it today you would earn a total of 5,046 from holding Caseys General Stores or generate 15.13% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Caseys General Stores vs. COMBA TELECOM SYST
Performance |
Timeline |
Caseys General Stores |
COMBA TELECOM SYST |
Caseys General and COMBA TELECOM Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Caseys General and COMBA TELECOM
The main advantage of trading using opposite Caseys General and COMBA TELECOM positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Caseys General position performs unexpectedly, COMBA TELECOM 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 COMBA TELECOM will offset losses from the drop in COMBA TELECOM's long position.Caseys General vs. Apple Inc | Caseys General vs. Apple Inc | Caseys General vs. Apple Inc | Caseys General vs. Apple Inc |
COMBA TELECOM vs. Apple Inc | COMBA TELECOM vs. Apple Inc | COMBA TELECOM vs. Apple Inc | COMBA TELECOM vs. Apple Inc |
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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