Correlation Between Guggenheim Managed and Nasdaq 100
Can any of the company-specific risk be diversified away by investing in both Guggenheim Managed and Nasdaq 100 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 Guggenheim Managed and Nasdaq 100 into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Guggenheim Managed Futures and Nasdaq 100 2x Strategy, you can compare the effects of market volatilities on Guggenheim Managed and Nasdaq 100 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 Guggenheim Managed with a short position of Nasdaq 100. Check out your portfolio center. Please also check ongoing floating volatility patterns of Guggenheim Managed and Nasdaq 100.
Diversification Opportunities for Guggenheim Managed and Nasdaq 100
-0.02 | Correlation Coefficient |
Good diversification
The 3 months correlation between Guggenheim and Nasdaq is -0.02. Overlapping area represents the amount of risk that can be diversified away by holding Guggenheim Managed Futures and Nasdaq 100 2x Strategy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nasdaq 100 2x and Guggenheim Managed 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 Guggenheim Managed Futures are associated (or correlated) with Nasdaq 100. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nasdaq 100 2x has no effect on the direction of Guggenheim Managed i.e., Guggenheim Managed and Nasdaq 100 go up and down completely randomly.
Pair Corralation between Guggenheim Managed and Nasdaq 100
Assuming the 90 days horizon Guggenheim Managed Futures is expected to under-perform the Nasdaq 100. But the mutual fund apears to be less risky and, when comparing its historical volatility, Guggenheim Managed Futures is 3.88 times less risky than Nasdaq 100. The mutual fund trades about -0.08 of its potential returns per unit of risk. The Nasdaq 100 2x Strategy is currently generating about -0.02 of returns per unit of risk over similar time horizon. If you would invest 40,642 in Nasdaq 100 2x Strategy on October 23, 2024 and sell it today you would lose (533.00) from holding Nasdaq 100 2x Strategy or give up 1.31% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Guggenheim Managed Futures vs. Nasdaq 100 2x Strategy
Performance |
Timeline |
Guggenheim Managed |
Nasdaq 100 2x |
Guggenheim Managed and Nasdaq 100 Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Guggenheim Managed and Nasdaq 100
The main advantage of trading using opposite Guggenheim Managed and Nasdaq 100 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Guggenheim Managed position performs unexpectedly, Nasdaq 100 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 Nasdaq 100 will offset losses from the drop in Nasdaq 100's long position.Guggenheim Managed vs. Gmo High Yield | Guggenheim Managed vs. Versatile Bond Portfolio | Guggenheim Managed vs. Bts Tactical Fixed | Guggenheim Managed vs. Dreyfusstandish Global Fixed |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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