Correlation Between Nova Fund and Nasdaq-100(r)
Can any of the company-specific risk be diversified away by investing in both Nova Fund 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 Nova Fund 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 Nova Fund Class and Nasdaq 100 2x Strategy, you can compare the effects of market volatilities on Nova Fund 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 Nova Fund with a short position of Nasdaq-100(r). Check out your portfolio center. Please also check ongoing floating volatility patterns of Nova Fund and Nasdaq-100(r).
Diversification Opportunities for Nova Fund and Nasdaq-100(r)
0.98 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Nova and Nasdaq-100(r) is 0.98. Overlapping area represents the amount of risk that can be diversified away by holding Nova Fund Class 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 Nova Fund 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 Nova Fund Class 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 Nova Fund i.e., Nova Fund and Nasdaq-100(r) go up and down completely randomly.
Pair Corralation between Nova Fund and Nasdaq-100(r)
Assuming the 90 days horizon Nova Fund is expected to generate 1.32 times less return on investment than Nasdaq-100(r). But when comparing it to its historical volatility, Nova Fund Class is 1.92 times less risky than Nasdaq-100(r). It trades about 0.13 of its potential returns per unit of risk. Nasdaq 100 2x Strategy is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 37,261 in Nasdaq 100 2x Strategy on September 2, 2024 and sell it today you would earn a total of 20,781 from holding Nasdaq 100 2x Strategy or generate 55.77% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Nova Fund Class vs. Nasdaq 100 2x Strategy
Performance |
Timeline |
Nova Fund Class |
Nasdaq 100 2x |
Nova Fund and Nasdaq-100(r) Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nova Fund and Nasdaq-100(r)
The main advantage of trading using opposite Nova Fund and Nasdaq-100(r) positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nova Fund 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.Nova Fund vs. Cref Money Market | Nova Fund vs. Blackrock Exchange Portfolio | Nova Fund vs. Chestnut Street Exchange | Nova Fund vs. Aim Investment Secs |
Nasdaq-100(r) vs. Sp 500 2x | Nasdaq-100(r) vs. Inverse Nasdaq 100 2x | Nasdaq-100(r) vs. Inverse Sp 500 | Nasdaq-100(r) vs. Ultra Nasdaq 100 Profunds |
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 Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.
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