Correlation Between Nova Fund and Nasdaq-100 Fund
Can any of the company-specific risk be diversified away by investing in both Nova Fund and Nasdaq-100 Fund 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 Fund 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 Fund Class, you can compare the effects of market volatilities on Nova Fund and Nasdaq-100 Fund 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 Fund. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nova Fund and Nasdaq-100 Fund.
Diversification Opportunities for Nova Fund and Nasdaq-100 Fund
0.93 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Nova and Nasdaq-100 is 0.93. Overlapping area represents the amount of risk that can be diversified away by holding Nova Fund Class and Nasdaq 100 Fund Class in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nasdaq 100 Fund 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 Fund. 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 Fund has no effect on the direction of Nova Fund i.e., Nova Fund and Nasdaq-100 Fund go up and down completely randomly.
Pair Corralation between Nova Fund and Nasdaq-100 Fund
Assuming the 90 days horizon Nova Fund Class is expected to generate 1.08 times more return on investment than Nasdaq-100 Fund. However, Nova Fund is 1.08 times more volatile than Nasdaq 100 Fund Class. It trades about -0.06 of its potential returns per unit of risk. Nasdaq 100 Fund Class is currently generating about -0.07 per unit of risk. If you would invest 10,436 in Nova Fund Class on December 28, 2024 and sell it today you would lose (651.00) from holding Nova Fund Class or give up 6.24% of portfolio value 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 Fund Class
Performance |
Timeline |
Nova Fund Class |
Nasdaq 100 Fund |
Nova Fund and Nasdaq-100 Fund Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nova Fund and Nasdaq-100 Fund
The main advantage of trading using opposite Nova Fund and Nasdaq-100 Fund positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nova Fund position performs unexpectedly, Nasdaq-100 Fund 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 Fund will offset losses from the drop in Nasdaq-100 Fund's long position.Nova Fund vs. Stringer Growth Fund | Nova Fund vs. Qs Moderate Growth | Nova Fund vs. Eip Growth And | Nova Fund vs. Morningstar Growth Etf |
Nasdaq-100 Fund vs. Nasdaq 100 2x Strategy | Nasdaq-100 Fund vs. Nova Fund Class | Nasdaq-100 Fund vs. Russell 2000 15x | Nasdaq-100 Fund vs. Nasdaq 100 Fund Class |
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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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