Correlation Between GM and Hafnia
Can any of the company-specific risk be diversified away by investing in both GM and Hafnia 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 Hafnia into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Hafnia Limited, you can compare the effects of market volatilities on GM and Hafnia 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 Hafnia. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Hafnia.
Diversification Opportunities for GM and Hafnia
Very poor diversification
The 3 months correlation between GM and Hafnia is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Hafnia Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hafnia Limited 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 Hafnia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hafnia Limited has no effect on the direction of GM i.e., GM and Hafnia go up and down completely randomly.
Pair Corralation between GM and Hafnia
Allowing for the 90-day total investment horizon General Motors is expected to generate 3.85 times more return on investment than Hafnia. However, GM is 3.85 times more volatile than Hafnia Limited. It trades about 0.08 of its potential returns per unit of risk. Hafnia Limited is currently generating about -0.3 per unit of risk. If you would invest 4,503 in General Motors on September 2, 2024 and sell it today you would earn a total of 1,056 from holding General Motors or generate 23.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 4.76% |
Values | Daily Returns |
General Motors vs. Hafnia Limited
Performance |
Timeline |
General Motors |
Hafnia Limited |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
GM and Hafnia Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Hafnia
The main advantage of trading using opposite GM and Hafnia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Hafnia 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 Hafnia will offset losses from the drop in Hafnia's long position.The idea behind General Motors and Hafnia Limited 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.Hafnia vs. Paltalk | Hafnia vs. Stepan Company | Hafnia vs. Harmony Gold Mining | Hafnia vs. Amkor Technology |
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 Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..
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