Correlation Between Benchmark Botanics and Emergent Biosolutions
Can any of the company-specific risk be diversified away by investing in both Benchmark Botanics and Emergent Biosolutions 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 Benchmark Botanics and Emergent Biosolutions into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Benchmark Botanics and Emergent Biosolutions, you can compare the effects of market volatilities on Benchmark Botanics and Emergent Biosolutions 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 Benchmark Botanics with a short position of Emergent Biosolutions. Check out your portfolio center. Please also check ongoing floating volatility patterns of Benchmark Botanics and Emergent Biosolutions.
Diversification Opportunities for Benchmark Botanics and Emergent Biosolutions
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Benchmark and Emergent is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Benchmark Botanics and Emergent Biosolutions in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Emergent Biosolutions and Benchmark Botanics 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 Benchmark Botanics are associated (or correlated) with Emergent Biosolutions. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Emergent Biosolutions has no effect on the direction of Benchmark Botanics i.e., Benchmark Botanics and Emergent Biosolutions go up and down completely randomly.
Pair Corralation between Benchmark Botanics and Emergent Biosolutions
If you would invest 906.00 in Emergent Biosolutions on September 1, 2024 and sell it today you would earn a total of 106.00 from holding Emergent Biosolutions or generate 11.7% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Flat |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Benchmark Botanics vs. Emergent Biosolutions
Performance |
| Timeline |
| Benchmark Botanics |
| Emergent Biosolutions |
Benchmark Botanics and Emergent Biosolutions Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Benchmark Botanics and Emergent Biosolutions
The main advantage of trading using opposite Benchmark Botanics and Emergent Biosolutions positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Benchmark Botanics position performs unexpectedly, Emergent Biosolutions 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 Emergent Biosolutions will offset losses from the drop in Emergent Biosolutions' long position.| Benchmark Botanics vs. Speakeasy Cannabis Club | Benchmark Botanics vs. City View Green | Benchmark Botanics vs. BC Craft Supply | Benchmark Botanics vs. Ravenquest Biomed |
| Emergent Biosolutions vs. Tff Pharmaceuticals | Emergent Biosolutions vs. Eliem Therapeutics | Emergent Biosolutions vs. Inhibrx | Emergent Biosolutions vs. Enliven 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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