Correlation Between Kingspan Group and United Rentals
Can any of the company-specific risk be diversified away by investing in both Kingspan Group and United Rentals 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 Kingspan Group and United Rentals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kingspan Group plc and United Rentals, you can compare the effects of market volatilities on Kingspan Group and United Rentals 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 Kingspan Group with a short position of United Rentals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kingspan Group and United Rentals.
Diversification Opportunities for Kingspan Group and United Rentals
0.02 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Kingspan and United is 0.02. Overlapping area represents the amount of risk that can be diversified away by holding Kingspan Group plc and United Rentals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on United Rentals and Kingspan Group 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 Kingspan Group plc are associated (or correlated) with United Rentals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of United Rentals has no effect on the direction of Kingspan Group i.e., Kingspan Group and United Rentals go up and down completely randomly.
Pair Corralation between Kingspan Group and United Rentals
Assuming the 90 days trading horizon Kingspan Group plc is expected to under-perform the United Rentals. But the stock apears to be less risky and, when comparing its historical volatility, Kingspan Group plc is 1.58 times less risky than United Rentals. The stock trades about -0.14 of its potential returns per unit of risk. The United Rentals is currently generating about -0.07 of returns per unit of risk over similar time horizon. If you would invest 74,890 in United Rentals on October 10, 2024 and sell it today you would lose (8,630) from holding United Rentals or give up 11.52% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Kingspan Group plc vs. United Rentals
Performance |
Timeline |
Kingspan Group plc |
United Rentals |
Kingspan Group and United Rentals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kingspan Group and United Rentals
The main advantage of trading using opposite Kingspan Group and United Rentals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kingspan Group position performs unexpectedly, United Rentals 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 United Rentals will offset losses from the drop in United Rentals' long position.Kingspan Group vs. United Rentals | Kingspan Group vs. NorAm Drilling AS | Kingspan Group vs. BORR DRILLING NEW | Kingspan Group vs. Lendlease Group |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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