Correlation Between GM and Kawasaki Kisen
Can any of the company-specific risk be diversified away by investing in both GM and Kawasaki Kisen 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 GM and Kawasaki Kisen into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Kawasaki Kisen Kaisha, you can compare the effects of market volatilities on GM and Kawasaki Kisen 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 GM with a short position of Kawasaki Kisen. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Kawasaki Kisen.
Diversification Opportunities for GM and Kawasaki Kisen
-0.17 | Correlation Coefficient |
Good diversification
The 3 months correlation between GM and Kawasaki is -0.17. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Kawasaki Kisen Kaisha in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kawasaki Kisen Kaisha and GM 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 General Motors are associated (or correlated) with Kawasaki Kisen. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kawasaki Kisen Kaisha has no effect on the direction of GM i.e., GM and Kawasaki Kisen go up and down completely randomly.
Pair Corralation between GM and Kawasaki Kisen
Allowing for the 90-day total investment horizon General Motors is expected to generate 5.25 times more return on investment than Kawasaki Kisen. However, GM is 5.25 times more volatile than Kawasaki Kisen Kaisha. It trades about 0.12 of its potential returns per unit of risk. Kawasaki Kisen Kaisha is currently generating about -0.21 per unit of risk. If you would invest 5,197 in General Motors on August 31, 2024 and sell it today you would earn a total of 353.00 from holding General Motors or generate 6.79% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
General Motors vs. Kawasaki Kisen Kaisha
Performance |
| Timeline |
| General Motors |
| Kawasaki Kisen Kaisha |
GM and Kawasaki Kisen Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with GM and Kawasaki Kisen
The main advantage of trading using opposite GM and Kawasaki Kisen positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Kawasaki Kisen 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 Kawasaki Kisen will offset losses from the drop in Kawasaki Kisen's long position.The idea behind General Motors and Kawasaki Kisen Kaisha pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| Kawasaki Kisen vs. Hapag Lloyd Aktiengesellschaft | Kawasaki Kisen vs. Hapag Lloyd Aktiengesellschaft | Kawasaki Kisen vs. AP Moeller Maersk AS | Kawasaki Kisen vs. AP Mller |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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