Correlation Between Hormel Foods and Snowflake

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

By analyzing existing cross correlation between Hormel Foods and Snowflake, you can compare the effects of market volatilities on Hormel Foods and Snowflake 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 Hormel Foods with a short position of Snowflake. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hormel Foods and Snowflake.

Diversification Opportunities for Hormel Foods and Snowflake

0.74

Correlation Coefficient

Hormel Foods  Snowflake

Poor diversification

The 3 months correlation between Hormel and Snowflake is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Hormel Foods and Snowflake in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Snowflake and Hormel 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 Hormel Foods are associated (or correlated) with Snowflake. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Snowflake has no effect on the direction of Hormel Foods i.e., Hormel Foods and Snowflake go up and down completely randomly.

Pair Corralation between Hormel Foods and Snowflake

Assuming the 90 days trading horizon Hormel Foods is expected to generate 22.42 times less return on investment than Snowflake. But when comparing it to its historical volatility, Hormel Foods is 4.23 times less risky than Snowflake. It trades about 0.03 of its potential returns per unit of risk. Snowflake is currently generating about 0.18 of returns per unit of risk over similar time horizon. If you would invest  1,640  in Snowflake on October 24, 2024 and sell it today you would earn a total of  956.00  from holding Snowflake or generate 58.29% return on investment over 90 days.

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

Hormel Foods  vs.  Snowflake

Hormel Foods

Risk-Adjusted Performance

2 of 100

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in Hormel Foods are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. Despite somewhat strong basic indicators, Hormel Foods is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Snowflake

Risk-Adjusted Performance

14 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Snowflake are ranked lower than 14 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak basic indicators, Snowflake sustained solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Hormel Foods and Snowflake

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

The idea behind Hormel Foods and Snowflake 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 Fundamentals Comparison module to compare fundamentals across multiple equities to find investing opportunities.