Correlation Between Winnebago Industries and Polaris Industries
Can any of the company-specific risk be diversified away by investing in both Winnebago Industries and Polaris Industries 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 Winnebago Industries and Polaris Industries into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Winnebago Industries and Polaris Industries, you can compare the effects of market volatilities on Winnebago Industries and Polaris Industries 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 Winnebago Industries with a short position of Polaris Industries. Check out your portfolio center. Please also check ongoing floating volatility patterns of Winnebago Industries and Polaris Industries.
Diversification Opportunities for Winnebago Industries and Polaris Industries
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Winnebago and Polaris is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding Winnebago Industries and Polaris Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Polaris Industries and Winnebago Industries 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 Winnebago Industries are associated (or correlated) with Polaris Industries. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Polaris Industries has no effect on the direction of Winnebago Industries i.e., Winnebago Industries and Polaris Industries go up and down completely randomly.
Pair Corralation between Winnebago Industries and Polaris Industries
Considering the 90-day investment horizon Winnebago Industries is expected to under-perform the Polaris Industries. In addition to that, Winnebago Industries is 1.05 times more volatile than Polaris Industries. It trades about -0.21 of its total potential returns per unit of risk. Polaris Industries is currently generating about -0.18 per unit of volatility. If you would invest 9,463 in Polaris Industries on January 23, 2024 and sell it today you would lose (643.00) from holding Polaris Industries or give up 6.79% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Winnebago Industries vs. Polaris Industries
Performance |
Timeline |
Winnebago Industries |
Polaris Industries |
Winnebago Industries and Polaris Industries Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Winnebago Industries and Polaris Industries
The main advantage of trading using opposite Winnebago Industries and Polaris Industries positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Winnebago Industries position performs unexpectedly, Polaris Industries 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 Polaris Industries will offset losses from the drop in Polaris Industries' long position.Winnebago Industries vs. LCI Industries | Winnebago Industries vs. Brunswick | Winnebago Industries vs. Polaris Industries | Winnebago Industries vs. Marine Products |
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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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