Correlation Between Nasdaq-100 Fund and Nasdaq 100
Can any of the company-specific risk be diversified away by investing in both Nasdaq-100 Fund 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 Nasdaq-100 Fund and Nasdaq 100 into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nasdaq 100 Fund Class and Nasdaq 100 Fund Class, you can compare the effects of market volatilities on Nasdaq-100 Fund 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 Nasdaq-100 Fund with a short position of Nasdaq 100. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nasdaq-100 Fund and Nasdaq 100.
Diversification Opportunities for Nasdaq-100 Fund and Nasdaq 100
1.0 | Correlation Coefficient |
No risk reduction
The 3 months correlation between Nasdaq-100 and Nasdaq is 1.0. Overlapping area represents the amount of risk that can be diversified away by holding Nasdaq 100 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 Nasdaq-100 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 Nasdaq 100 Fund Class 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 Fund has no effect on the direction of Nasdaq-100 Fund i.e., Nasdaq-100 Fund and Nasdaq 100 go up and down completely randomly.
Pair Corralation between Nasdaq-100 Fund and Nasdaq 100
Assuming the 90 days horizon Nasdaq 100 Fund Class is expected to generate 0.98 times more return on investment than Nasdaq 100. However, Nasdaq 100 Fund Class is 1.02 times less risky than Nasdaq 100. It trades about 0.08 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 4,893 in Nasdaq 100 Fund Class on September 3, 2024 and sell it today you would earn a total of 2,828 from holding Nasdaq 100 Fund Class or generate 57.8% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Nasdaq 100 Fund Class vs. Nasdaq 100 Fund Class
Performance |
Timeline |
Nasdaq 100 Fund |
Nasdaq 100 Fund |
Nasdaq-100 Fund and Nasdaq 100 Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nasdaq-100 Fund and Nasdaq 100
The main advantage of trading using opposite Nasdaq-100 Fund and Nasdaq 100 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nasdaq-100 Fund 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.Nasdaq-100 Fund vs. Nasdaq 100 Fund Class | Nasdaq-100 Fund vs. Nasdaq 100 Fund Class | Nasdaq-100 Fund vs. Nasdaq 100 Profund Nasdaq 100 | Nasdaq-100 Fund vs. Select Fund R |
Nasdaq 100 vs. Nasdaq 100 2x Strategy | Nasdaq 100 vs. Nova Fund Class | Nasdaq 100 vs. Russell 2000 15x | Nasdaq 100 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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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