Correlation Between First Investors and Plumb Balanced
Can any of the company-specific risk be diversified away by investing in both First Investors and Plumb Balanced 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 Investors and Plumb Balanced into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between First Investors Opportunity and Plumb Balanced, you can compare the effects of market volatilities on First Investors and Plumb Balanced 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 Investors with a short position of Plumb Balanced. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Investors and Plumb Balanced.
Diversification Opportunities for First Investors and Plumb Balanced
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between First and Plumb is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding First Investors Opportunity and Plumb Balanced in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Plumb Balanced and First Investors 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 Investors Opportunity are associated (or correlated) with Plumb Balanced. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Plumb Balanced has no effect on the direction of First Investors i.e., First Investors and Plumb Balanced go up and down completely randomly.
Pair Corralation between First Investors and Plumb Balanced
Assuming the 90 days horizon First Investors is expected to generate 1.91 times less return on investment than Plumb Balanced. In addition to that, First Investors is 1.3 times more volatile than Plumb Balanced. It trades about 0.03 of its total potential returns per unit of risk. Plumb Balanced is currently generating about 0.08 per unit of volatility. If you would invest 2,640 in Plumb Balanced on December 4, 2024 and sell it today you would earn a total of 971.00 from holding Plumb Balanced or generate 36.78% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
First Investors Opportunity vs. Plumb Balanced
Performance |
Timeline |
First Investors Oppo |
Plumb Balanced |
First Investors and Plumb Balanced Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with First Investors and Plumb Balanced
The main advantage of trading using opposite First Investors and Plumb Balanced positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Investors position performs unexpectedly, Plumb Balanced 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 Plumb Balanced will offset losses from the drop in Plumb Balanced's long position.First Investors vs. Alpsalerian Energy Infrastructure | First Investors vs. Oil Gas Ultrasector | First Investors vs. Hennessy Bp Energy | First Investors vs. Fidelity Advisor Energy |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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