Correlation Between Deere and Volkswagen
Can any of the company-specific risk be diversified away by investing in both Deere and Volkswagen 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 Deere and Volkswagen into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Deere Company and Volkswagen AG, you can compare the effects of market volatilities on Deere and Volkswagen 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 Deere with a short position of Volkswagen. Check out your portfolio center. Please also check ongoing floating volatility patterns of Deere and Volkswagen.
Diversification Opportunities for Deere and Volkswagen
-0.52 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Deere and Volkswagen is -0.52. Overlapping area represents the amount of risk that can be diversified away by holding Deere Company and Volkswagen AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Volkswagen AG and Deere 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 Deere Company are associated (or correlated) with Volkswagen. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Volkswagen AG has no effect on the direction of Deere i.e., Deere and Volkswagen go up and down completely randomly.
Pair Corralation between Deere and Volkswagen
Allowing for the 90-day total investment horizon Deere Company is expected to generate 0.75 times more return on investment than Volkswagen. However, Deere Company is 1.34 times less risky than Volkswagen. It trades about 0.09 of its potential returns per unit of risk. Volkswagen AG is currently generating about -0.12 per unit of risk. If you would invest 36,267 in Deere Company on September 1, 2024 and sell it today you would earn a total of 10,323 from holding Deere Company or generate 28.46% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Deere Company vs. Volkswagen AG
Performance |
| Timeline |
| Deere Company |
| Volkswagen AG |
Deere and Volkswagen Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Deere and Volkswagen
The main advantage of trading using opposite Deere and Volkswagen positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Deere position performs unexpectedly, Volkswagen 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 Volkswagen will offset losses from the drop in Volkswagen's long position.The idea behind Deere Company and Volkswagen AG 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.| Volkswagen vs. Volkswagen AG 110 | Volkswagen vs. Stellantis NV | Volkswagen vs. Toyota Motor | Volkswagen vs. Honda Motor Co |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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