Correlation Between Commercial Vehicle and Kingspan Group
Can any of the company-specific risk be diversified away by investing in both Commercial Vehicle and Kingspan Group 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 Commercial Vehicle and Kingspan Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Commercial Vehicle Group and Kingspan Group plc, you can compare the effects of market volatilities on Commercial Vehicle and Kingspan Group 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 Commercial Vehicle with a short position of Kingspan Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of Commercial Vehicle and Kingspan Group.
Diversification Opportunities for Commercial Vehicle and Kingspan Group
0.92 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Commercial and Kingspan is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding Commercial Vehicle Group and Kingspan Group plc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kingspan Group plc and Commercial Vehicle 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 Commercial Vehicle Group are associated (or correlated) with Kingspan Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kingspan Group plc has no effect on the direction of Commercial Vehicle i.e., Commercial Vehicle and Kingspan Group go up and down completely randomly.
Pair Corralation between Commercial Vehicle and Kingspan Group
Assuming the 90 days trading horizon Commercial Vehicle Group is expected to under-perform the Kingspan Group. In addition to that, Commercial Vehicle is 1.99 times more volatile than Kingspan Group plc. It trades about -0.15 of its total potential returns per unit of risk. Kingspan Group plc is currently generating about -0.11 per unit of volatility. If you would invest 7,805 in Kingspan Group plc on October 26, 2024 and sell it today you would lose (895.00) from holding Kingspan Group plc or give up 11.47% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 98.33% |
Values | Daily Returns |
Commercial Vehicle Group vs. Kingspan Group plc
Performance |
Timeline |
Commercial Vehicle |
Kingspan Group plc |
Commercial Vehicle and Kingspan Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Commercial Vehicle and Kingspan Group
The main advantage of trading using opposite Commercial Vehicle and Kingspan Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Commercial Vehicle position performs unexpectedly, Kingspan Group 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 Kingspan Group will offset losses from the drop in Kingspan Group's long position.Commercial Vehicle vs. Playtech plc | Commercial Vehicle vs. Perdoceo Education | Commercial Vehicle vs. GLG LIFE TECH | Commercial Vehicle vs. Corporate Travel Management |
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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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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