Correlation Between Yara International and Havila Shipping
Can any of the company-specific risk be diversified away by investing in both Yara International and Havila Shipping 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 Yara International and Havila Shipping into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Yara International ASA and Havila Shipping ASA, you can compare the effects of market volatilities on Yara International and Havila Shipping 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 Yara International with a short position of Havila Shipping. Check out your portfolio center. Please also check ongoing floating volatility patterns of Yara International and Havila Shipping.
Diversification Opportunities for Yara International and Havila Shipping
-0.24 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Yara and Havila is -0.24. Overlapping area represents the amount of risk that can be diversified away by holding Yara International ASA and Havila Shipping ASA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Havila Shipping ASA and Yara International 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 Yara International ASA are associated (or correlated) with Havila Shipping. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Havila Shipping ASA has no effect on the direction of Yara International i.e., Yara International and Havila Shipping go up and down completely randomly.
Pair Corralation between Yara International and Havila Shipping
Assuming the 90 days trading horizon Yara International ASA is expected to generate 0.44 times more return on investment than Havila Shipping. However, Yara International ASA is 2.25 times less risky than Havila Shipping. It trades about 0.05 of its potential returns per unit of risk. Havila Shipping ASA is currently generating about -0.12 per unit of risk. If you would invest 30,080 in Yara International ASA on December 30, 2024 and sell it today you would earn a total of 1,340 from holding Yara International ASA or generate 4.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Yara International ASA vs. Havila Shipping ASA
Performance |
Timeline |
Yara International ASA |
Havila Shipping ASA |
Yara International and Havila Shipping Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Yara International and Havila Shipping
The main advantage of trading using opposite Yara International and Havila Shipping positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Yara International position performs unexpectedly, Havila Shipping 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 Havila Shipping will offset losses from the drop in Havila Shipping's long position.Yara International vs. Telenor ASA | Yara International vs. Orkla ASA | Yara International vs. DnB ASA | Yara International vs. Storebrand ASA |
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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