Correlation Between GM and Reinsurance Group
Can any of the company-specific risk be diversified away by investing in both GM and Reinsurance Group 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 Reinsurance Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Reinsurance Group of, you can compare the effects of market volatilities on GM and Reinsurance Group 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 Reinsurance Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Reinsurance Group.
Diversification Opportunities for GM and Reinsurance Group
0.45 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between GM and Reinsurance is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Reinsurance Group of in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Reinsurance Group 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 Reinsurance Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Reinsurance Group has no effect on the direction of GM i.e., GM and Reinsurance Group go up and down completely randomly.
Pair Corralation between GM and Reinsurance Group
Allowing for the 90-day total investment horizon General Motors is expected to generate 1.27 times more return on investment than Reinsurance Group. However, GM is 1.27 times more volatile than Reinsurance Group of. It trades about -0.02 of its potential returns per unit of risk. Reinsurance Group of is currently generating about -0.1 per unit of risk. If you would invest 5,404 in General Motors on December 25, 2024 and sell it today you would lose (258.00) from holding General Motors or give up 4.77% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.33% |
Values | Daily Returns |
General Motors vs. Reinsurance Group of
Performance |
Timeline |
General Motors |
Reinsurance Group |
GM and Reinsurance Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Reinsurance Group
The main advantage of trading using opposite GM and Reinsurance Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Reinsurance Group 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 Reinsurance Group will offset losses from the drop in Reinsurance Group's long position.The idea behind General Motors and Reinsurance Group of 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.Reinsurance Group vs. Sumitomo Rubber Industries | Reinsurance Group vs. Vulcan Materials | Reinsurance Group vs. THRACE PLASTICS | Reinsurance Group vs. BJs Restaurants |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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