Correlation Between Magna International and Xpel
Can any of the company-specific risk be diversified away by investing in both Magna International and Xpel 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 Magna International and Xpel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Magna International and Xpel Inc, you can compare the effects of market volatilities on Magna International and Xpel 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 Magna International with a short position of Xpel. Check out your portfolio center. Please also check ongoing floating volatility patterns of Magna International and Xpel.
Diversification Opportunities for Magna International and Xpel
0.32 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Magna and Xpel is 0.32. Overlapping area represents the amount of risk that can be diversified away by holding Magna International and Xpel Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Xpel Inc and Magna International 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 Magna International are associated (or correlated) with Xpel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Xpel Inc has no effect on the direction of Magna International i.e., Magna International and Xpel go up and down completely randomly.
Pair Corralation between Magna International and Xpel
Considering the 90-day investment horizon Magna International is expected to generate 1.64 times less return on investment than Xpel. But when comparing it to its historical volatility, Magna International is 1.08 times less risky than Xpel. It trades about 0.14 of its potential returns per unit of risk. Xpel Inc is currently generating about 0.21 of returns per unit of risk over similar time horizon. If you would invest 4,036 in Xpel Inc on August 23, 2024 and sell it today you would earn a total of 449.00 from holding Xpel Inc or generate 11.12% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Magna International vs. Xpel Inc
Performance |
| Timeline |
| Magna International |
| Xpel Inc |
Magna International and Xpel Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Magna International and Xpel
The main advantage of trading using opposite Magna International and Xpel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Magna International position performs unexpectedly, Xpel 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 Xpel will offset losses from the drop in Xpel's long position.| Magna International vs. Allison Transmission Holdings | Magna International vs. Aptiv PLC | Magna International vs. LKQ Corporation | Magna International vs. Lear Corporation |
| Xpel vs. Dorman Products | Xpel vs. Standard Motor Products | Xpel vs. Motorcar Parts of | Xpel vs. Stoneridge |
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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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