Correlation Between Agilent Technologies and Technos SA
Can any of the company-specific risk be diversified away by investing in both Agilent Technologies and Technos 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 Agilent Technologies and Technos SA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Agilent Technologies and Technos SA, you can compare the effects of market volatilities on Agilent Technologies and Technos 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 Agilent Technologies with a short position of Technos SA. Check out your portfolio center. Please also check ongoing floating volatility patterns of Agilent Technologies and Technos SA.
Diversification Opportunities for Agilent Technologies and Technos SA
-0.09 | Correlation Coefficient |
Good diversification
The 3 months correlation between Agilent and Technos is -0.09. Overlapping area represents the amount of risk that can be diversified away by holding Agilent Technologies and Technos SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Technos SA and Agilent Technologies 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 Agilent Technologies are associated (or correlated) with Technos SA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Technos SA has no effect on the direction of Agilent Technologies i.e., Agilent Technologies and Technos SA go up and down completely randomly.
Pair Corralation between Agilent Technologies and Technos SA
Assuming the 90 days trading horizon Agilent Technologies is expected to under-perform the Technos SA. In addition to that, Agilent Technologies is 1.07 times more volatile than Technos SA. It trades about -0.12 of its total potential returns per unit of risk. Technos SA is currently generating about 0.06 per unit of volatility. If you would invest 527.00 in Technos SA on December 30, 2024 and sell it today you would earn a total of 39.00 from holding Technos SA or generate 7.4% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.39% |
Values | Daily Returns |
Agilent Technologies vs. Technos SA
Performance |
Timeline |
Agilent Technologies |
Technos SA |
Agilent Technologies and Technos SA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Agilent Technologies and Technos SA
The main advantage of trading using opposite Agilent Technologies and Technos SA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Agilent Technologies position performs unexpectedly, Technos 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 Technos SA will offset losses from the drop in Technos SA's long position.Agilent Technologies vs. Vulcan Materials | Agilent Technologies vs. UnitedHealth Group Incorporated | Agilent Technologies vs. Charter Communications | Agilent Technologies vs. Nordon Indstrias Metalrgicas |
Technos SA vs. Truist Financial | Technos SA vs. Cincinnati Financial | Technos SA vs. Lloyds Banking Group | Technos SA vs. Metalfrio Solutions SA |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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