Correlation Between Thor Industries and PACCAR
Can any of the company-specific risk be diversified away by investing in both Thor Industries and PACCAR 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 Thor Industries and PACCAR into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Thor Industries and PACCAR Inc, you can compare the effects of market volatilities on Thor Industries and PACCAR 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 Thor Industries with a short position of PACCAR. Check out your portfolio center. Please also check ongoing floating volatility patterns of Thor Industries and PACCAR.
Diversification Opportunities for Thor Industries and PACCAR
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Thor and PACCAR is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Thor Industries and PACCAR Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PACCAR Inc and Thor 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 Thor Industries are associated (or correlated) with PACCAR. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PACCAR Inc has no effect on the direction of Thor Industries i.e., Thor Industries and PACCAR go up and down completely randomly.
Pair Corralation between Thor Industries and PACCAR
Considering the 90-day investment horizon Thor Industries is expected to generate 2.28 times less return on investment than PACCAR. In addition to that, Thor Industries is 1.39 times more volatile than PACCAR Inc. It trades about 0.02 of its total potential returns per unit of risk. PACCAR Inc is currently generating about 0.07 per unit of volatility. If you would invest 9,138 in PACCAR Inc on September 2, 2024 and sell it today you would earn a total of 2,562 from holding PACCAR Inc or generate 28.04% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Thor Industries vs. PACCAR Inc
Performance |
| Timeline |
| Thor Industries |
| PACCAR Inc |
Thor Industries and PACCAR Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Thor Industries and PACCAR
The main advantage of trading using opposite Thor Industries and PACCAR positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Thor Industries position performs unexpectedly, PACCAR 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 PACCAR will offset losses from the drop in PACCAR's long position.The idea behind Thor Industries and PACCAR Inc 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.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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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