Correlation Between Hawkins and International Consolidated
Can any of the company-specific risk be diversified away by investing in both Hawkins and International Consolidated 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 Hawkins and International Consolidated into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hawkins and International Consolidated Airlines, you can compare the effects of market volatilities on Hawkins and International Consolidated 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 Hawkins with a short position of International Consolidated. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hawkins and International Consolidated.
Diversification Opportunities for Hawkins and International Consolidated
0.14 | Correlation Coefficient |
Average diversification
The 3 months correlation between Hawkins and International is 0.14. Overlapping area represents the amount of risk that can be diversified away by holding Hawkins and International Consolidated Air in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on International Consolidated and Hawkins 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 Hawkins are associated (or correlated) with International Consolidated. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of International Consolidated has no effect on the direction of Hawkins i.e., Hawkins and International Consolidated go up and down completely randomly.
Pair Corralation between Hawkins and International Consolidated
Given the investment horizon of 90 days Hawkins is expected to under-perform the International Consolidated. In addition to that, Hawkins is 2.53 times more volatile than International Consolidated Airlines. It trades about -0.29 of its total potential returns per unit of risk. International Consolidated Airlines is currently generating about 0.15 per unit of volatility. If you would invest 745.00 in International Consolidated Airlines on October 14, 2024 and sell it today you would earn a total of 23.00 from holding International Consolidated Airlines or generate 3.09% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Hawkins vs. International Consolidated Air
Performance |
Timeline |
Hawkins |
International Consolidated |
Hawkins and International Consolidated Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hawkins and International Consolidated
The main advantage of trading using opposite Hawkins and International Consolidated positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hawkins position performs unexpectedly, International Consolidated 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 International Consolidated will offset losses from the drop in International Consolidated's long position.Hawkins vs. H B Fuller | Hawkins vs. Minerals Technologies | Hawkins vs. Quaker Chemical | Hawkins vs. Oil Dri |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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