Correlation Between Ivy International and Nasdaq-100(r)
Can any of the company-specific risk be diversified away by investing in both Ivy International 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 Ivy International 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 Ivy International E and Nasdaq 100 2x Strategy, you can compare the effects of market volatilities on Ivy International 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 Ivy International with a short position of Nasdaq-100(r). Check out your portfolio center. Please also check ongoing floating volatility patterns of Ivy International and Nasdaq-100(r).
Diversification Opportunities for Ivy International and Nasdaq-100(r)
-0.04 | Correlation Coefficient |
Good diversification
The 3 months correlation between Ivy and Nasdaq-100(r) is -0.04. Overlapping area represents the amount of risk that can be diversified away by holding Ivy International E 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 Ivy International 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 Ivy International E 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 Ivy International i.e., Ivy International and Nasdaq-100(r) go up and down completely randomly.
Pair Corralation between Ivy International and Nasdaq-100(r)
Assuming the 90 days horizon Ivy International is expected to generate 8.02 times less return on investment than Nasdaq-100(r). But when comparing it to its historical volatility, Ivy International E is 2.76 times less risky than Nasdaq-100(r). It trades about 0.03 of its potential returns per unit of risk. Nasdaq 100 2x Strategy is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 14,640 in Nasdaq 100 2x Strategy on October 10, 2024 and sell it today you would earn a total of 24,600 from holding Nasdaq 100 2x Strategy or generate 168.03% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Ivy International E vs. Nasdaq 100 2x Strategy
Performance |
Timeline |
Ivy International |
Nasdaq 100 2x |
Ivy International and Nasdaq-100(r) Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ivy International and Nasdaq-100(r)
The main advantage of trading using opposite Ivy International and Nasdaq-100(r) positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ivy International 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.Ivy International vs. Arrow Managed Futures | Ivy International vs. Rbb Fund | Ivy International vs. Qs Large Cap | Ivy International vs. Predex Funds |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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