Correlation Between Inverse Nasdaq and Rydex Sers
Can any of the company-specific risk be diversified away by investing in both Inverse Nasdaq 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 Inverse Nasdaq and Rydex Sers into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Inverse Nasdaq 100 Strategy and Rydex Sers Fds, you can compare the effects of market volatilities on Inverse Nasdaq 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 Inverse Nasdaq with a short position of Rydex Sers. Check out your portfolio center. Please also check ongoing floating volatility patterns of Inverse Nasdaq and Rydex Sers.
Diversification Opportunities for Inverse Nasdaq and Rydex Sers
-0.33 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Inverse and Rydex is -0.33. Overlapping area represents the amount of risk that can be diversified away by holding Inverse Nasdaq 100 Strategy 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 Inverse Nasdaq 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 Inverse Nasdaq 100 Strategy 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 Inverse Nasdaq i.e., Inverse Nasdaq and Rydex Sers go up and down completely randomly.
Pair Corralation between Inverse Nasdaq and Rydex Sers
Assuming the 90 days horizon Inverse Nasdaq 100 Strategy is expected to under-perform the Rydex Sers. In addition to that, Inverse Nasdaq is 3.97 times more volatile than Rydex Sers Fds. It trades about -0.16 of its total potential returns per unit of risk. Rydex Sers Fds is currently generating about 0.14 per unit of volatility. If you would invest 4,722 in Rydex Sers Fds on September 28, 2024 and sell it today you would earn a total of 132.00 from holding Rydex Sers Fds or generate 2.8% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Inverse Nasdaq 100 Strategy vs. Rydex Sers Fds
Performance |
Timeline |
Inverse Nasdaq 100 |
Rydex Sers Fds |
Inverse Nasdaq and Rydex Sers Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Inverse Nasdaq and Rydex Sers
The main advantage of trading using opposite Inverse Nasdaq and Rydex Sers positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Inverse Nasdaq 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.Inverse Nasdaq vs. Basic Materials Fund | Inverse Nasdaq vs. Basic Materials Fund | Inverse Nasdaq vs. Banking Fund Class | Inverse Nasdaq vs. Basic Materials Fund |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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