Correlation Between Alphacentric Symmetry and Nasdaq-100(r)
Can any of the company-specific risk be diversified away by investing in both Alphacentric Symmetry and Nasdaq-100(r) 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 Alphacentric Symmetry and Nasdaq-100(r) into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Alphacentric Symmetry Strategy and Nasdaq 100 2x Strategy, you can compare the effects of market volatilities on Alphacentric Symmetry and Nasdaq-100(r) 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 Alphacentric Symmetry with a short position of Nasdaq-100(r). Check out your portfolio center. Please also check ongoing floating volatility patterns of Alphacentric Symmetry and Nasdaq-100(r).
Diversification Opportunities for Alphacentric Symmetry and Nasdaq-100(r)
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Alphacentric and Nasdaq-100(r) is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding Alphacentric Symmetry Strategy 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 Alphacentric Symmetry 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 Alphacentric Symmetry Strategy are associated (or correlated) with Nasdaq-100(r). 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 Alphacentric Symmetry i.e., Alphacentric Symmetry and Nasdaq-100(r) go up and down completely randomly.
Pair Corralation between Alphacentric Symmetry and Nasdaq-100(r)
Assuming the 90 days horizon Alphacentric Symmetry Strategy is expected to generate 0.13 times more return on investment than Nasdaq-100(r). However, Alphacentric Symmetry Strategy is 7.68 times less risky than Nasdaq-100(r). It trades about -0.24 of its potential returns per unit of risk. Nasdaq 100 2x Strategy is currently generating about -0.14 per unit of risk. If you would invest 1,263 in Alphacentric Symmetry Strategy on October 10, 2024 and sell it today you would lose (27.00) from holding Alphacentric Symmetry Strategy or give up 2.14% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Alphacentric Symmetry Strategy vs. Nasdaq 100 2x Strategy
Performance |
| Timeline |
| Alphacentric Symmetry |
| Nasdaq 100 2x |
Alphacentric Symmetry and Nasdaq-100(r) Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Alphacentric Symmetry and Nasdaq-100(r)
The main advantage of trading using opposite Alphacentric Symmetry and Nasdaq-100(r) positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alphacentric Symmetry position performs unexpectedly, Nasdaq-100(r) 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(r) will offset losses from the drop in Nasdaq-100(r)'s long position.| Alphacentric Symmetry vs. Alpine Ultra Short | Alphacentric Symmetry vs. Aamhimco Short Duration | Alphacentric Symmetry vs. Delaware Investments Ultrashort | Alphacentric Symmetry vs. Fidelity Flex Servative |
| Nasdaq-100(r) vs. Eic Value Fund | Nasdaq-100(r) vs. Tax Managed Large Cap | Nasdaq-100(r) vs. T Rowe Price | Nasdaq-100(r) vs. Us Vector Equity |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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