Correlation Between Neurones and Esker SA
Can any of the company-specific risk be diversified away by investing in both Neurones and Esker SA 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 Neurones and Esker SA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Neurones and Esker SA, you can compare the effects of market volatilities on Neurones and Esker SA 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 Neurones with a short position of Esker SA. Check out your portfolio center. Please also check ongoing floating volatility patterns of Neurones and Esker SA.
Diversification Opportunities for Neurones and Esker SA
Poor diversification
The 3 months correlation between Neurones and Esker is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Neurones and Esker SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Esker SA and Neurones 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 Neurones are associated (or correlated) with Esker SA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Esker SA has no effect on the direction of Neurones i.e., Neurones and Esker SA go up and down completely randomly.
Pair Corralation between Neurones and Esker SA
Assuming the 90 days trading horizon Neurones is expected to generate 2.01 times less return on investment than Esker SA. But when comparing it to its historical volatility, Neurones is 1.73 times less risky than Esker SA. It trades about 0.09 of its potential returns per unit of risk. Esker SA is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 23,340 in Esker SA on August 31, 2024 and sell it today you would earn a total of 2,700 from holding Esker SA or generate 11.57% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.46% |
Values | Daily Returns |
Neurones vs. Esker SA
Performance |
Timeline |
Neurones |
Esker SA |
Neurones and Esker SA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Neurones and Esker SA
The main advantage of trading using opposite Neurones and Esker SA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Neurones position performs unexpectedly, Esker SA 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 Esker SA will offset losses from the drop in Esker SA's long position.The idea behind Neurones and Esker SA 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.Esker SA vs. Chargeurs SA | Esker SA vs. Straumann Holding AG | Esker SA vs. Manitou BF SA | Esker SA vs. Amundi Index Solutions |
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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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