Correlation Between Honda and Volkswagen
Can any of the company-specific risk be diversified away by investing in both Honda 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 Honda and Volkswagen into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Honda Motor Co and Volkswagen AG VZO, you can compare the effects of market volatilities on Honda 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 Honda with a short position of Volkswagen. Check out your portfolio center. Please also check ongoing floating volatility patterns of Honda and Volkswagen.
Diversification Opportunities for Honda and Volkswagen
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Honda and Volkswagen is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding Honda Motor Co and Volkswagen AG VZO in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Volkswagen AG VZO and Honda 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 Honda Motor Co 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 VZO has no effect on the direction of Honda i.e., Honda and Volkswagen go up and down completely randomly.
Pair Corralation between Honda and Volkswagen
Assuming the 90 days horizon Honda Motor Co is expected to generate 1.35 times more return on investment than Volkswagen. However, Honda is 1.35 times more volatile than Volkswagen AG VZO. It trades about 0.01 of its potential returns per unit of risk. Volkswagen AG VZO is currently generating about -0.01 per unit of risk. If you would invest 945.00 in Honda Motor Co on August 25, 2024 and sell it today you would lose (70.00) from holding Honda Motor Co or give up 7.41% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 90.23% |
Values | Daily Returns |
Honda Motor Co vs. Volkswagen AG VZO
Performance |
Timeline |
Honda Motor |
Volkswagen AG VZO |
Honda and Volkswagen Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Honda and Volkswagen
The main advantage of trading using opposite Honda and Volkswagen positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Honda 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.Honda vs. Bayerische Motoren Werke | Honda vs. Volkswagen AG VZO | Honda vs. Volkswagen AG | Honda vs. Bayerische Motoren Werke |
Volkswagen vs. Isuzu Motors | Volkswagen vs. Renault SA | Volkswagen vs. Mazda Motor Corp | Volkswagen vs. Bayerische Motoren Werke |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
Other Complementary Tools
Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
Portfolio Comparator Compare the composition, asset allocations and performance of any two portfolios in your account | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges |