Correlation Between Kawasaki Kisen and Star Bulk
Can any of the company-specific risk be diversified away by investing in both Kawasaki Kisen and Star Bulk 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 Kawasaki Kisen and Star Bulk into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kawasaki Kisen Kaisha and Star Bulk Carriers, you can compare the effects of market volatilities on Kawasaki Kisen and Star Bulk 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 Kawasaki Kisen with a short position of Star Bulk. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kawasaki Kisen and Star Bulk.
Diversification Opportunities for Kawasaki Kisen and Star Bulk
0.75 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Kawasaki and Star is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding Kawasaki Kisen Kaisha and Star Bulk Carriers in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Star Bulk Carriers and Kawasaki Kisen 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 Kawasaki Kisen Kaisha are associated (or correlated) with Star Bulk. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Star Bulk Carriers has no effect on the direction of Kawasaki Kisen i.e., Kawasaki Kisen and Star Bulk go up and down completely randomly.
Pair Corralation between Kawasaki Kisen and Star Bulk
Assuming the 90 days horizon Kawasaki Kisen Kaisha is expected to generate 8.83 times more return on investment than Star Bulk. However, Kawasaki Kisen is 8.83 times more volatile than Star Bulk Carriers. It trades about 0.08 of its potential returns per unit of risk. Star Bulk Carriers is currently generating about -0.01 per unit of risk. If you would invest 1,054 in Kawasaki Kisen Kaisha on October 9, 2024 and sell it today you would earn a total of 356.00 from holding Kawasaki Kisen Kaisha or generate 33.78% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 85.48% |
Values | Daily Returns |
Kawasaki Kisen Kaisha vs. Star Bulk Carriers
Performance |
Timeline |
Kawasaki Kisen Kaisha |
Star Bulk Carriers |
Kawasaki Kisen and Star Bulk Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kawasaki Kisen and Star Bulk
The main advantage of trading using opposite Kawasaki Kisen and Star Bulk positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kawasaki Kisen position performs unexpectedly, Star Bulk 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 Star Bulk will offset losses from the drop in Star Bulk's long position.Kawasaki Kisen vs. Pacific Basin Shipping | Kawasaki Kisen vs. Hapag Lloyd Aktiengesellschaft | Kawasaki Kisen vs. Hapag Lloyd Aktiengesellschaft | Kawasaki Kisen vs. Hutchison Port Holdings |
Star Bulk vs. Genco Shipping Trading | Star Bulk vs. Diana Shipping | Star Bulk vs. Danaos | Star Bulk vs. Golden Ocean Group |
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 Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
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