Correlation Between Caseys General and Sovereign Metals
Can any of the company-specific risk be diversified away by investing in both Caseys General and Sovereign 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 Caseys General and Sovereign Metals 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 Sovereign Metals Limited, you can compare the effects of market volatilities on Caseys General and Sovereign 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 Caseys General with a short position of Sovereign Metals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Caseys General and Sovereign Metals.
Diversification Opportunities for Caseys General and Sovereign Metals
0.55 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Caseys and Sovereign is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding Caseys General Stores and Sovereign Metals Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sovereign Metals 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 Sovereign Metals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sovereign Metals has no effect on the direction of Caseys General i.e., Caseys General and Sovereign Metals go up and down completely randomly.
Pair Corralation between Caseys General and Sovereign Metals
Assuming the 90 days trading horizon Caseys General is expected to generate 1.09 times less return on investment than Sovereign Metals. But when comparing it to its historical volatility, Caseys General Stores is 1.73 times less risky than Sovereign Metals. It trades about 0.07 of its potential returns per unit of risk. Sovereign Metals Limited is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 43.00 in Sovereign Metals Limited on October 26, 2024 and sell it today you would earn a total of 2.00 from holding Sovereign Metals Limited or generate 4.65% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Caseys General Stores vs. Sovereign Metals Limited
Performance |
Timeline |
Caseys General Stores |
Sovereign Metals |
Caseys General and Sovereign Metals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Caseys General and Sovereign Metals
The main advantage of trading using opposite Caseys General and Sovereign Metals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Caseys General position performs unexpectedly, Sovereign 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 Sovereign Metals will offset losses from the drop in Sovereign Metals' long position.Caseys General vs. Apple Inc | Caseys General vs. Apple Inc | Caseys General vs. Apple Inc | Caseys General vs. Apple Inc |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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