Correlation Between First Investors and Boulder Growth
Can any of the company-specific risk be diversified away by investing in both First Investors and Boulder Growth 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 Boulder Growth 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 Boulder Growth Income, you can compare the effects of market volatilities on First Investors and Boulder Growth 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 Boulder Growth. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Investors and Boulder Growth.
Diversification Opportunities for First Investors and Boulder Growth
0.25 | Correlation Coefficient |
Modest diversification
The 3 months correlation between First and Boulder is 0.25. Overlapping area represents the amount of risk that can be diversified away by holding First Investors Opportunity and Boulder Growth Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Boulder Growth Income 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 Boulder Growth. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Boulder Growth Income has no effect on the direction of First Investors i.e., First Investors and Boulder Growth go up and down completely randomly.
Pair Corralation between First Investors and Boulder Growth
Assuming the 90 days horizon First Investors is expected to generate 4.01 times less return on investment than Boulder Growth. In addition to that, First Investors is 1.59 times more volatile than Boulder Growth Income. It trades about 0.03 of its total potential returns per unit of risk. Boulder Growth Income is currently generating about 0.16 per unit of volatility. If you would invest 1,416 in Boulder Growth Income on November 3, 2024 and sell it today you would earn a total of 241.00 from holding Boulder Growth Income or generate 17.02% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 99.2% |
| Values | Daily Returns |
First Investors Opportunity vs. Boulder Growth Income
Performance |
| Timeline |
| First Investors Oppo |
| Boulder Growth Income |
First Investors and Boulder Growth Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with First Investors and Boulder Growth
The main advantage of trading using opposite First Investors and Boulder Growth positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Investors position performs unexpectedly, Boulder Growth 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 Boulder Growth will offset losses from the drop in Boulder Growth's long position.| First Investors vs. Us Vector Equity | First Investors vs. Small Pany Growth | First Investors vs. Eip Growth And | First Investors vs. Ab Small Cap |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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