Correlation Between Patrick Industries and Thor Industries
Can any of the company-specific risk be diversified away by investing in both Patrick Industries and Thor 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 Patrick Industries and Thor Industries into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Patrick Industries and Thor Industries, you can compare the effects of market volatilities on Patrick Industries and Thor 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 Patrick Industries with a short position of Thor Industries. Check out your portfolio center. Please also check ongoing floating volatility patterns of Patrick Industries and Thor Industries.
Diversification Opportunities for Patrick Industries and Thor Industries
0.27 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Patrick and Thor is 0.27. Overlapping area represents the amount of risk that can be diversified away by holding Patrick Industries and Thor Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Thor Industries and Patrick 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 Patrick Industries are associated (or correlated) with Thor Industries. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Thor Industries has no effect on the direction of Patrick Industries i.e., Patrick Industries and Thor Industries go up and down completely randomly.
Pair Corralation between Patrick Industries and Thor Industries
Assuming the 90 days horizon Patrick Industries is expected to under-perform the Thor Industries. In addition to that, Patrick Industries is 1.17 times more volatile than Thor Industries. It trades about -0.01 of its total potential returns per unit of risk. Thor Industries is currently generating about 0.14 per unit of volatility. If you would invest 9,637 in Thor Industries on October 19, 2024 and sell it today you would earn a total of 433.00 from holding Thor Industries or generate 4.49% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Patrick Industries vs. Thor Industries
Performance |
| Timeline |
| Patrick Industries |
| Thor Industries |
Patrick Industries and Thor Industries Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Patrick Industries and Thor Industries
The main advantage of trading using opposite Patrick Industries and Thor Industries positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Patrick Industries position performs unexpectedly, Thor 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 Thor Industries will offset losses from the drop in Thor Industries' long position.| Patrick Industries vs. Harley Davidson | Patrick Industries vs. Harley Davidson | Patrick Industries vs. BRP Inc | Patrick Industries vs. Fox Factory Holding |
| Thor Industries vs. Harley Davidson | Thor Industries vs. Harley Davidson | Thor Industries vs. BRP Inc | Thor Industries vs. Fox Factory Holding |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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