Correlation Between Fidelity Small and Guggenheim Managed
Can any of the company-specific risk be diversified away by investing in both Fidelity Small and Guggenheim Managed 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 Fidelity Small and Guggenheim Managed into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fidelity Small Cap and Guggenheim Managed Futures, you can compare the effects of market volatilities on Fidelity Small and Guggenheim Managed 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 Fidelity Small with a short position of Guggenheim Managed. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fidelity Small and Guggenheim Managed.
Diversification Opportunities for Fidelity Small and Guggenheim Managed
0.35 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Fidelity and Guggenheim is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding Fidelity Small Cap and Guggenheim Managed Futures in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Guggenheim Managed and Fidelity Small 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 Fidelity Small Cap are associated (or correlated) with Guggenheim Managed. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Guggenheim Managed has no effect on the direction of Fidelity Small i.e., Fidelity Small and Guggenheim Managed go up and down completely randomly.
Pair Corralation between Fidelity Small and Guggenheim Managed
Assuming the 90 days horizon Fidelity Small Cap is expected to generate 1.68 times more return on investment than Guggenheim Managed. However, Fidelity Small is 1.68 times more volatile than Guggenheim Managed Futures. It trades about -0.02 of its potential returns per unit of risk. Guggenheim Managed Futures is currently generating about -0.05 per unit of risk. If you would invest 2,611 in Fidelity Small Cap on September 29, 2024 and sell it today you would lose (49.00) from holding Fidelity Small Cap or give up 1.88% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Fidelity Small Cap vs. Guggenheim Managed Futures
Performance |
Timeline |
Fidelity Small Cap |
Guggenheim Managed |
Fidelity Small and Guggenheim Managed Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fidelity Small and Guggenheim Managed
The main advantage of trading using opposite Fidelity Small and Guggenheim Managed positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fidelity Small position performs unexpectedly, Guggenheim Managed 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 Guggenheim Managed will offset losses from the drop in Guggenheim Managed's long position.Fidelity Small vs. Fidelity Freedom 2015 | Fidelity Small vs. Fidelity Puritan Fund | Fidelity Small vs. Fidelity Puritan Fund | Fidelity Small vs. Fidelity Pennsylvania Municipal |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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