Correlation Between First Trust and Vulcan Value
Can any of the company-specific risk be diversified away by investing in both First Trust and Vulcan Value 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 First Trust and Vulcan Value into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between First Trust Dow and Vulcan Value Partners, you can compare the effects of market volatilities on First Trust and Vulcan Value 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 First Trust with a short position of Vulcan Value. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Trust and Vulcan Value.
Diversification Opportunities for First Trust and Vulcan Value
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between First and Vulcan is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding First Trust Dow and Vulcan Value Partners in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Vulcan Value Partners and First Trust 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 First Trust Dow are associated (or correlated) with Vulcan Value. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Vulcan Value Partners has no effect on the direction of First Trust i.e., First Trust and Vulcan Value go up and down completely randomly.
Pair Corralation between First Trust and Vulcan Value
Considering the 90-day investment horizon First Trust Dow is expected to generate 1.81 times more return on investment than Vulcan Value. However, First Trust is 1.81 times more volatile than Vulcan Value Partners. It trades about 0.47 of its potential returns per unit of risk. Vulcan Value Partners is currently generating about 0.34 per unit of risk. If you would invest 23,078 in First Trust Dow on September 16, 2024 and sell it today you would earn a total of 2,338 from holding First Trust Dow or generate 10.13% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
First Trust Dow vs. Vulcan Value Partners
Performance |
Timeline |
First Trust Dow |
Vulcan Value Partners |
First Trust and Vulcan Value Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with First Trust and Vulcan Value
The main advantage of trading using opposite First Trust and Vulcan Value positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Trust position performs unexpectedly, Vulcan Value 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 Vulcan Value will offset losses from the drop in Vulcan Value's long position.First Trust vs. Invesco DWA Utilities | First Trust vs. Invesco Dynamic Large | First Trust vs. SCOR PK | First Trust vs. Morningstar Unconstrained Allocation |
Vulcan Value vs. Vulcan Value Partners | Vulcan Value vs. Vulcan Value Partners | Vulcan Value vs. Vulcan Value Partners | Vulcan Value vs. Invesco DWA Basic |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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