Correlation Between De Grey and TYSON FOODS

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

By analyzing existing cross correlation between De Grey Mining and TYSON FOODS A , you can compare the effects of market volatilities on De Grey and TYSON FOODS 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 De Grey with a short position of TYSON FOODS. Check out your portfolio center. Please also check ongoing floating volatility patterns of De Grey and TYSON FOODS.

Diversification Opportunities for De Grey and TYSON FOODS

0.12

Correlation Coefficient

De Grey  TYSON FOODS

Average diversification

The 3 months correlation between DGD and TYSON is 0.12. Overlapping area represents the amount of risk that can be diversified away by holding De Grey Mining and TYSON FOODS A in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on TYSON FOODS A and De Grey 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 De Grey Mining are associated (or correlated) with TYSON FOODS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of TYSON FOODS A has no effect on the direction of De Grey i.e., De Grey and TYSON FOODS go up and down completely randomly.

Pair Corralation between De Grey and TYSON FOODS

Assuming the 90 days trading horizon De Grey Mining is expected to generate 2.88 times more return on investment than TYSON FOODS. However, De Grey is 2.88 times more volatile than TYSON FOODS A . It trades about 0.14 of its potential returns per unit of risk. TYSON FOODS A is currently generating about 0.0 per unit of risk. If you would invest  86.00  in De Grey Mining on October 24, 2024 and sell it today you would earn a total of  33.00  from holding De Grey Mining or generate 38.37% return on investment over 90 days.

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

De Grey Mining  vs.  TYSON FOODS A

De Grey Mining

Risk-Adjusted Performance

11 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in De Grey Mining are ranked lower than 11 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively uncertain basic indicators, De Grey unveiled solid returns over the last few months and may actually be approaching a breakup point.

TYSON FOODS A

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days TYSON FOODS A has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound technical and fundamental indicators, TYSON FOODS is not utilizing all of its potentials. The newest stock price tumult, may contribute to shorter-term losses for the shareholders.

Pair Trading with De Grey and TYSON FOODS

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

The idea behind De Grey Mining and TYSON FOODS A 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.