Correlation Between Polar Capital and JD Sports
Can any of the company-specific risk be diversified away by investing in both Polar Capital and JD Sports 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 Polar Capital and JD Sports into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Polar Capital Technology and JD Sports Fashion, you can compare the effects of market volatilities on Polar Capital and JD Sports 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 Polar Capital with a short position of JD Sports. Check out your portfolio center. Please also check ongoing floating volatility patterns of Polar Capital and JD Sports.
Diversification Opportunities for Polar Capital and JD Sports
-0.79 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Polar and JD Sports is -0.79. Overlapping area represents the amount of risk that can be diversified away by holding Polar Capital Technology and JD Sports Fashion in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on JD Sports Fashion and Polar Capital 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 Polar Capital Technology are associated (or correlated) with JD Sports. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of JD Sports Fashion has no effect on the direction of Polar Capital i.e., Polar Capital and JD Sports go up and down completely randomly.
Pair Corralation between Polar Capital and JD Sports
Assuming the 90 days trading horizon Polar Capital Technology is expected to generate 0.51 times more return on investment than JD Sports. However, Polar Capital Technology is 1.96 times less risky than JD Sports. It trades about 0.06 of its potential returns per unit of risk. JD Sports Fashion is currently generating about -0.05 per unit of risk. If you would invest 30,300 in Polar Capital Technology on September 1, 2024 and sell it today you would earn a total of 3,300 from holding Polar Capital Technology or generate 10.89% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Polar Capital Technology vs. JD Sports Fashion
Performance |
| Timeline |
| Polar Capital Technology |
| JD Sports Fashion |
Polar Capital and JD Sports Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Polar Capital and JD Sports
The main advantage of trading using opposite Polar Capital and JD Sports positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Polar Capital position performs unexpectedly, JD Sports 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 JD Sports will offset losses from the drop in JD Sports' long position.| Polar Capital vs. Toyota Motor Corp | Polar Capital vs. SoftBank Group Corp | Polar Capital vs. OTP Bank Nyrt | Polar Capital vs. Las Vegas Sands |
| JD Sports vs. Toyota Motor Corp | JD Sports vs. SoftBank Group Corp | JD Sports vs. OTP Bank Nyrt | JD Sports vs. Las Vegas Sands |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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