Correlation Between Dow Jones and Ivy Apollo
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Ivy Apollo 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 Dow Jones and Ivy Apollo into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dow Jones Industrial and Ivy Apollo Multi Asset, you can compare the effects of market volatilities on Dow Jones and Ivy Apollo 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 Dow Jones with a short position of Ivy Apollo. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Ivy Apollo.
Diversification Opportunities for Dow Jones and Ivy Apollo
-0.32 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Dow and Ivy is -0.32. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Ivy Apollo Multi Asset in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ivy Apollo Multi and Dow Jones 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 Dow Jones Industrial are associated (or correlated) with Ivy Apollo. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ivy Apollo Multi has no effect on the direction of Dow Jones i.e., Dow Jones and Ivy Apollo go up and down completely randomly.
Pair Corralation between Dow Jones and Ivy Apollo
Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 1.38 times more return on investment than Ivy Apollo. However, Dow Jones is 1.38 times more volatile than Ivy Apollo Multi Asset. It trades about 0.08 of its potential returns per unit of risk. Ivy Apollo Multi Asset is currently generating about 0.04 per unit of risk. If you would invest 3,313,637 in Dow Jones Industrial on September 23, 2024 and sell it today you would earn a total of 970,389 from holding Dow Jones Industrial or generate 29.28% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Dow Jones Industrial vs. Ivy Apollo Multi Asset
Performance |
Timeline |
Dow Jones and Ivy Apollo Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Ivy Apollo Multi Asset
Pair trading matchups for Ivy Apollo
Pair Trading with Dow Jones and Ivy Apollo
The main advantage of trading using opposite Dow Jones and Ivy Apollo positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Ivy Apollo 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 Ivy Apollo will offset losses from the drop in Ivy Apollo's long position.Dow Jones vs. Teleflex Incorporated | Dow Jones vs. Sonida Senior Living | Dow Jones vs. Avadel Pharmaceuticals PLC | Dow Jones vs. Cardinal Health |
Ivy Apollo vs. Ivy Large Cap | Ivy Apollo vs. Ivy Small Cap | Ivy Apollo vs. Ivy High Income | Ivy Apollo vs. Ivy Apollo Multi Asset |
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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