Correlation Between FT Vest and Dow Jones
Can any of the company-specific risk be diversified away by investing in both FT Vest and Dow Jones 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 FT Vest and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FT Vest NASDAQ 100 and Dow Jones Industrial, you can compare the effects of market volatilities on FT Vest and Dow Jones 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 FT Vest with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of FT Vest and Dow Jones.
Diversification Opportunities for FT Vest and Dow Jones
Almost no diversification
The 3 months correlation between QCAP and Dow is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding FT Vest NASDAQ 100 and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and FT Vest 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 FT Vest NASDAQ 100 are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of FT Vest i.e., FT Vest and Dow Jones go up and down completely randomly.
Pair Corralation between FT Vest and Dow Jones
Given the investment horizon of 90 days FT Vest is expected to generate 1.06 times less return on investment than Dow Jones. But when comparing it to its historical volatility, FT Vest NASDAQ 100 is 1.84 times less risky than Dow Jones. It trades about 0.16 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 3,369,988 in Dow Jones Industrial on September 1, 2024 and sell it today you would earn a total of 1,121,077 from holding Dow Jones Industrial or generate 33.27% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 34.29% |
| Values | Daily Returns |
FT Vest NASDAQ 100 vs. Dow Jones Industrial
Performance |
| Timeline |
FT Vest and Dow Jones Volatility Contrast
Predicted Return Density |
| Returns |
FT Vest NASDAQ 100
Pair trading matchups for FT Vest
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with FT Vest and Dow Jones
The main advantage of trading using opposite FT Vest and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FT Vest position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.| FT Vest vs. FT Vest Equity | FT Vest vs. Northern Lights | FT Vest vs. Dimensional International High | FT Vest vs. Matthews China Discovery |
| Dow Jones vs. Catalyst Pharmaceuticals | Dow Jones vs. Sphere Entertainment Co | Dow Jones vs. National CineMedia | Dow Jones vs. Mink Therapeutics |
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 Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.
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