Correlation Between Tyson Foods and Agilent Technologies
Can any of the company-specific risk be diversified away by investing in both Tyson Foods and Agilent Technologies 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 Tyson Foods and Agilent Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tyson Foods and Agilent Technologies, you can compare the effects of market volatilities on Tyson Foods and Agilent Technologies 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 Tyson Foods with a short position of Agilent Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tyson Foods and Agilent Technologies.
Diversification Opportunities for Tyson Foods and Agilent Technologies
-0.13 | Correlation Coefficient |
Good diversification
The 3 months correlation between Tyson and Agilent is -0.13. Overlapping area represents the amount of risk that can be diversified away by holding Tyson Foods and Agilent Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Agilent Technologies and Tyson Foods 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 Tyson Foods are associated (or correlated) with Agilent Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Agilent Technologies has no effect on the direction of Tyson Foods i.e., Tyson Foods and Agilent Technologies go up and down completely randomly.
Pair Corralation between Tyson Foods and Agilent Technologies
Assuming the 90 days trading horizon Tyson Foods is expected to generate 1.27 times less return on investment than Agilent Technologies. In addition to that, Tyson Foods is 1.21 times more volatile than Agilent Technologies. It trades about 0.08 of its total potential returns per unit of risk. Agilent Technologies is currently generating about 0.12 per unit of volatility. If you would invest 34,565 in Agilent Technologies on September 24, 2024 and sell it today you would earn a total of 7,099 from holding Agilent Technologies or generate 20.54% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 96.06% |
Values | Daily Returns |
Tyson Foods vs. Agilent Technologies
Performance |
Timeline |
Tyson Foods |
Agilent Technologies |
Tyson Foods and Agilent Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Tyson Foods and Agilent Technologies
The main advantage of trading using opposite Tyson Foods and Agilent Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tyson Foods position performs unexpectedly, Agilent Technologies 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 Agilent Technologies will offset losses from the drop in Agilent Technologies' long position.Tyson Foods vs. SLC Agrcola SA | Tyson Foods vs. Minerva SA | Tyson Foods vs. BrasilAgro Companhia | Tyson Foods vs. Bahema Educao SA |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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