Correlation Between Amazon and HelloFresh
Can any of the company-specific risk be diversified away by investing in both Amazon and HelloFresh 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 Amazon and HelloFresh into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Amazon Inc and HelloFresh SE, you can compare the effects of market volatilities on Amazon and HelloFresh 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 Amazon with a short position of HelloFresh. Check out your portfolio center. Please also check ongoing floating volatility patterns of Amazon and HelloFresh.
Diversification Opportunities for Amazon and HelloFresh
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Amazon and HelloFresh is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding Amazon Inc and HelloFresh SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on HelloFresh SE and Amazon 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 Amazon Inc are associated (or correlated) with HelloFresh. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of HelloFresh SE has no effect on the direction of Amazon i.e., Amazon and HelloFresh go up and down completely randomly.
Pair Corralation between Amazon and HelloFresh
Given the investment horizon of 90 days Amazon Inc is expected to generate 0.39 times more return on investment than HelloFresh. However, Amazon Inc is 2.54 times less risky than HelloFresh. It trades about 0.1 of its potential returns per unit of risk. HelloFresh SE is currently generating about -0.01 per unit of risk. If you would invest 9,158 in Amazon Inc on September 4, 2024 and sell it today you would earn a total of 11,913 from holding Amazon Inc or generate 130.08% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Amazon Inc vs. HelloFresh SE
Performance |
Timeline |
Amazon Inc |
HelloFresh SE |
Amazon and HelloFresh Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Amazon and HelloFresh
The main advantage of trading using opposite Amazon and HelloFresh positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Amazon position performs unexpectedly, HelloFresh 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 HelloFresh will offset losses from the drop in HelloFresh's long position.The idea behind Amazon Inc and HelloFresh SE 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.HelloFresh vs. Biglari Holdings | HelloFresh vs. Potbelly Co | HelloFresh vs. Restaurant Brands International | HelloFresh vs. Red Robin Gourmet |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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