Correlation Between GM and Ubs Engage
Can any of the company-specific risk be diversified away by investing in both GM and Ubs Engage 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 Ubs Engage into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Ubs Engage For, you can compare the effects of market volatilities on GM and Ubs Engage 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 Ubs Engage. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Ubs Engage.
Diversification Opportunities for GM and Ubs Engage
-0.28 | Correlation Coefficient |
Very good diversification
The 3 months correlation between GM and Ubs is -0.28. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Ubs Engage For in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ubs Engage For 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 Ubs Engage. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ubs Engage For has no effect on the direction of GM i.e., GM and Ubs Engage go up and down completely randomly.
Pair Corralation between GM and Ubs Engage
Allowing for the 90-day total investment horizon General Motors is expected to generate 2.25 times more return on investment than Ubs Engage. However, GM is 2.25 times more volatile than Ubs Engage For. It trades about 0.04 of its potential returns per unit of risk. Ubs Engage For is currently generating about 0.03 per unit of risk. If you would invest 4,877 in General Motors on September 20, 2024 and sell it today you would earn a total of 238.00 from holding General Motors or generate 4.88% 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. Ubs Engage For
Performance |
Timeline |
General Motors |
Ubs Engage For |
GM and Ubs Engage Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Ubs Engage
The main advantage of trading using opposite GM and Ubs Engage positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Ubs Engage 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 Ubs Engage will offset losses from the drop in Ubs Engage's long position.The idea behind General Motors and Ubs Engage For 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.Ubs Engage vs. Alliancebernstein Global High | Ubs Engage vs. Ab Global Risk | Ubs Engage vs. Mirova Global Green | Ubs Engage vs. Dreyfusstandish Global Fixed |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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