Correlation Between Tesla and Hormel Foods
Can any of the company-specific risk be diversified away by investing in both Tesla and Hormel 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 Tesla and Hormel Foods into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tesla Inc and Hormel Foods, you can compare the effects of market volatilities on Tesla and Hormel 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 Tesla with a short position of Hormel Foods. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tesla and Hormel Foods.
Diversification Opportunities for Tesla and Hormel Foods
-0.78 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Tesla and Hormel is -0.78. Overlapping area represents the amount of risk that can be diversified away by holding Tesla Inc and Hormel Foods in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hormel Foods and Tesla 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 Tesla Inc are associated (or correlated) with Hormel Foods. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hormel Foods has no effect on the direction of Tesla i.e., Tesla and Hormel Foods go up and down completely randomly.
Pair Corralation between Tesla and Hormel Foods
Given the investment horizon of 90 days Tesla Inc is expected to generate 2.83 times more return on investment than Hormel Foods. However, Tesla is 2.83 times more volatile than Hormel Foods. It trades about 0.14 of its potential returns per unit of risk. Hormel Foods is currently generating about -0.05 per unit of risk. If you would invest 17,675 in Tesla Inc on August 24, 2024 and sell it today you would earn a total of 16,289 from holding Tesla Inc or generate 92.16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Tesla Inc vs. Hormel Foods
Performance |
Timeline |
Tesla Inc |
Hormel Foods |
Tesla and Hormel Foods Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Tesla and Hormel Foods
The main advantage of trading using opposite Tesla and Hormel Foods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tesla position performs unexpectedly, Hormel 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 Hormel Foods will offset losses from the drop in Hormel Foods' long position.The idea behind Tesla Inc and Hormel Foods 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.Hormel Foods vs. Better Choice | Hormel Foods vs. BioAdaptives | Hormel Foods vs. Beyond Oil | Hormel Foods vs. Bon Natural Life |
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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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