Correlation Between GM and Fagerhult
Can any of the company-specific risk be diversified away by investing in both GM and Fagerhult 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 Fagerhult into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Fagerhult AB, you can compare the effects of market volatilities on GM and Fagerhult 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 Fagerhult. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Fagerhult.
Diversification Opportunities for GM and Fagerhult
Excellent diversification
The 3 months correlation between GM and Fagerhult is -0.62. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Fagerhult AB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fagerhult AB 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 Fagerhult. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fagerhult AB has no effect on the direction of GM i.e., GM and Fagerhult go up and down completely randomly.
Pair Corralation between GM and Fagerhult
Allowing for the 90-day total investment horizon General Motors is expected to generate 1.2 times more return on investment than Fagerhult. However, GM is 1.2 times more volatile than Fagerhult AB. It trades about 0.11 of its potential returns per unit of risk. Fagerhult AB is currently generating about -0.01 per unit of risk. If you would invest 3,324 in General Motors on September 2, 2024 and sell it today you would earn a total of 2,235 from holding General Motors or generate 67.24% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 99.6% |
| Values | Daily Returns |
General Motors vs. Fagerhult AB
Performance |
| Timeline |
| General Motors |
| Fagerhult AB |
GM and Fagerhult Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with GM and Fagerhult
The main advantage of trading using opposite GM and Fagerhult positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Fagerhult 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 Fagerhult will offset losses from the drop in Fagerhult's long position.The idea behind General Motors and Fagerhult AB 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.| Fagerhult vs. Samhllsbyggnadsbolaget i Norden | Fagerhult vs. Sinch AB | Fagerhult vs. Embracer Group AB | Fagerhult vs. Evolution AB |
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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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