Correlation Between Bruker and Neuropace
Can any of the company-specific risk be diversified away by investing in both Bruker and Neuropace 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 Bruker and Neuropace into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bruker and Neuropace, you can compare the effects of market volatilities on Bruker and Neuropace 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 Bruker with a short position of Neuropace. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bruker and Neuropace.
Diversification Opportunities for Bruker and Neuropace
Very good diversification
The 3 months correlation between Bruker and Neuropace is -0.46. Overlapping area represents the amount of risk that can be diversified away by holding Bruker and Neuropace in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Neuropace and Bruker 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 Bruker are associated (or correlated) with Neuropace. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Neuropace has no effect on the direction of Bruker i.e., Bruker and Neuropace go up and down completely randomly.
Pair Corralation between Bruker and Neuropace
Given the investment horizon of 90 days Bruker is expected to generate 82.69 times less return on investment than Neuropace. But when comparing it to its historical volatility, Bruker is 2.07 times less risky than Neuropace. It trades about 0.01 of its potential returns per unit of risk. Neuropace is currently generating about 0.26 of returns per unit of risk over similar time horizon. If you would invest 693.00 in Neuropace on August 31, 2024 and sell it today you would earn a total of 332.00 from holding Neuropace or generate 47.91% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 95.65% |
| Values | Daily Returns |
Bruker vs. Neuropace
Performance |
| Timeline |
| Bruker |
| Neuropace |
Bruker and Neuropace Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bruker and Neuropace
The main advantage of trading using opposite Bruker and Neuropace positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bruker position performs unexpectedly, Neuropace 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 Neuropace will offset losses from the drop in Neuropace's long position.The idea behind Bruker and Neuropace pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| Neuropace vs. Abbott Laboratories | Neuropace vs. Medtronic PLC | Neuropace vs. Edwards Lifesciences Corp | Neuropace vs. ZimVie Inc |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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