Correlation Between Nasdaq-100 Index and New Economy
Can any of the company-specific risk be diversified away by investing in both Nasdaq-100 Index and New Economy 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 Index and New Economy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nasdaq 100 Index Fund and New Economy Fund, you can compare the effects of market volatilities on Nasdaq-100 Index and New Economy 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 Index with a short position of New Economy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nasdaq-100 Index and New Economy.
Diversification Opportunities for Nasdaq-100 Index and New Economy
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Nasdaq-100 and New is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Nasdaq 100 Index Fund and New Economy Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on New Economy Fund and Nasdaq-100 Index 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 Index Fund are associated (or correlated) with New Economy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of New Economy Fund has no effect on the direction of Nasdaq-100 Index i.e., Nasdaq-100 Index and New Economy go up and down completely randomly.
Pair Corralation between Nasdaq-100 Index and New Economy
Assuming the 90 days horizon Nasdaq 100 Index Fund is expected to under-perform the New Economy. In addition to that, Nasdaq-100 Index is 1.11 times more volatile than New Economy Fund. It trades about -0.07 of its total potential returns per unit of risk. New Economy Fund is currently generating about -0.04 per unit of volatility. If you would invest 6,216 in New Economy Fund on December 28, 2024 and sell it today you would lose (201.00) from holding New Economy Fund or give up 3.23% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Nasdaq 100 Index Fund vs. New Economy Fund
Performance |
Timeline |
Nasdaq 100 Index |
New Economy Fund |
Nasdaq-100 Index and New Economy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nasdaq-100 Index and New Economy
The main advantage of trading using opposite Nasdaq-100 Index and New Economy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nasdaq-100 Index position performs unexpectedly, New Economy 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 New Economy will offset losses from the drop in New Economy's long position.Nasdaq-100 Index vs. Ultrashort Small Cap Profund | Nasdaq-100 Index vs. Ashmore Emerging Markets | Nasdaq-100 Index vs. Ridgeworth Ceredex Mid Cap | Nasdaq-100 Index vs. Fidelity Small Cap |
New Economy vs. Doubleline Emerging Markets | New Economy vs. Ab All Market | New Economy vs. Siit Emerging Markets | New Economy vs. Rbc Emerging Markets |
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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