Correlation Between GM and Rydex Sers
Can any of the company-specific risk be diversified away by investing in both GM and Rydex Sers 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 Rydex Sers into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Rydex Sers Fds, you can compare the effects of market volatilities on GM and Rydex Sers 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 Rydex Sers. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Rydex Sers.
Diversification Opportunities for GM and Rydex Sers
0.51 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between GM and Rydex is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Rydex Sers Fds in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Rydex Sers Fds 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 Rydex Sers. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Rydex Sers Fds has no effect on the direction of GM i.e., GM and Rydex Sers go up and down completely randomly.
Pair Corralation between GM and Rydex Sers
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the Rydex Sers. In addition to that, GM is 3.93 times more volatile than Rydex Sers Fds. It trades about -0.07 of its total potential returns per unit of risk. Rydex Sers Fds is currently generating about 0.19 per unit of volatility. If you would invest 4,797 in Rydex Sers Fds on September 27, 2024 and sell it today you would earn a total of 66.00 from holding Rydex Sers Fds or generate 1.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
General Motors vs. Rydex Sers Fds
Performance |
Timeline |
General Motors |
Rydex Sers Fds |
GM and Rydex Sers Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Rydex Sers
The main advantage of trading using opposite GM and Rydex Sers positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Rydex Sers 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 Rydex Sers will offset losses from the drop in Rydex Sers' long position.The idea behind General Motors and Rydex Sers Fds 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.Rydex Sers vs. Basic Materials Fund | Rydex Sers vs. Basic Materials Fund | Rydex Sers vs. Banking Fund Class | Rydex Sers vs. Basic Materials Fund |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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