Correlation Between Tyson Foods and Intel

Can any of the company-specific risk be diversified away by investing in both Tyson Foods and Intel 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 Intel into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Tyson Foods and Intel, you can compare the effects of market volatilities on Tyson Foods and Intel 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 Intel. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tyson Foods and Intel.

Diversification Opportunities for Tyson Foods and Intel

0.1

Correlation Coefficient

Tyson Foods  Intel

Average diversification

The 3 months correlation between Tyson and Intel is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding Tyson Foods and Intel in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Intel 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 Intel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Intel has no effect on the direction of Tyson Foods i.e., Tyson Foods and Intel go up and down completely randomly.

Pair Corralation between Tyson Foods and Intel

Assuming the 90 days trading horizon Tyson Foods is expected to under-perform the Intel. But the stock apears to be less risky and, when comparing its historical volatility, Tyson Foods is 3.35 times less risky than Intel. The stock trades about -0.03 of its potential returns per unit of risk. The Intel is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest  2,088  in Intel on December 23, 2024 and sell it today you would earn a total of  233.00  from holding Intel or generate 11.16% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Insignificant
Accuracy	100.0%
Values	Daily Returns

Tyson Foods  vs.  Intel

Tyson Foods

Risk-Adjusted Performance

Very Weak

Over the last 90 days Tyson Foods has generated negative risk-adjusted returns adding no value to investors with long positions. Despite somewhat strong basic indicators, Tyson Foods is not utilizing all of its potentials. The newest stock price disturbance, may contribute to short-term losses for the investors.

Intel

Risk-Adjusted Performance

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in Intel are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak essential indicators, Intel sustained solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Tyson Foods and Intel

The main advantage of trading using opposite Tyson Foods and Intel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tyson Foods position performs unexpectedly, Intel 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 Intel will offset losses from the drop in Intel's long position.

The idea behind Tyson Foods and Intel 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.

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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.