Correlation Between GM and UBS Money
Can any of the company-specific risk be diversified away by investing in both GM and UBS Money 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 Money 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 Money Market, you can compare the effects of market volatilities on GM and UBS Money 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 Money. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and UBS Money.
Diversification Opportunities for GM and UBS Money
Very poor diversification
The 3 months correlation between GM and UBS is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and UBS Money Market in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on UBS Money Market 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 Money. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of UBS Money Market has no effect on the direction of GM i.e., GM and UBS Money go up and down completely randomly.
Pair Corralation between GM and UBS Money
Allowing for the 90-day total investment horizon General Motors is expected to generate 6.38 times more return on investment than UBS Money. However, GM is 6.38 times more volatile than UBS Money Market. It trades about 0.06 of its potential returns per unit of risk. UBS Money Market is currently generating about 0.36 per unit of risk. If you would invest 4,793 in General Motors on September 22, 2024 and sell it today you would earn a total of 388.00 from holding General Motors or generate 8.1% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 95.31% |
Values | Daily Returns |
General Motors vs. UBS Money Market
Performance |
Timeline |
General Motors |
UBS Money Market |
GM and UBS Money Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and UBS Money
The main advantage of trading using opposite GM and UBS Money positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, UBS Money 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 Money will offset losses from the drop in UBS Money's long position.The idea behind General Motors and UBS Money Market 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 Money vs. Groupama Entreprises N | UBS Money vs. Renaissance Europe C | UBS Money vs. Superior Plus Corp | UBS Money vs. Origin Agritech |
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 Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.
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