Correlation Between Kingfisher Plc and Lowes Companies
Can any of the company-specific risk be diversified away by investing in both Kingfisher Plc and Lowes Companies 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 Kingfisher Plc and Lowes Companies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kingfisher plc and Lowes Companies, you can compare the effects of market volatilities on Kingfisher Plc and Lowes Companies 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 Kingfisher Plc with a short position of Lowes Companies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kingfisher Plc and Lowes Companies.
Diversification Opportunities for Kingfisher Plc and Lowes Companies
-0.51 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Kingfisher and Lowes is -0.51. Overlapping area represents the amount of risk that can be diversified away by holding Kingfisher plc and Lowes Companies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lowes Companies and Kingfisher Plc 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 Kingfisher plc are associated (or correlated) with Lowes Companies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lowes Companies has no effect on the direction of Kingfisher Plc i.e., Kingfisher Plc and Lowes Companies go up and down completely randomly.
Pair Corralation between Kingfisher Plc and Lowes Companies
Assuming the 90 days trading horizon Kingfisher plc is expected to under-perform the Lowes Companies. In addition to that, Kingfisher Plc is 2.18 times more volatile than Lowes Companies. It trades about -0.2 of its total potential returns per unit of risk. Lowes Companies is currently generating about -0.11 per unit of volatility. If you would invest 24,835 in Lowes Companies on September 22, 2024 and sell it today you would lose (835.00) from holding Lowes Companies or give up 3.36% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 95.65% |
Values | Daily Returns |
Kingfisher plc vs. Lowes Companies
Performance |
Timeline |
Kingfisher plc |
Lowes Companies |
Kingfisher Plc and Lowes Companies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kingfisher Plc and Lowes Companies
The main advantage of trading using opposite Kingfisher Plc and Lowes Companies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kingfisher Plc position performs unexpectedly, Lowes Companies 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 Lowes Companies will offset losses from the drop in Lowes Companies' long position.Kingfisher Plc vs. Lowes Companies | Kingfisher Plc vs. Wesfarmers Limited | Kingfisher Plc vs. Fiskars Oyj Abp | Kingfisher Plc vs. Haverty Furniture Companies |
Lowes Companies vs. Wesfarmers Limited | Lowes Companies vs. Kingfisher plc | Lowes Companies vs. Fiskars Oyj Abp | Lowes Companies vs. Haverty Furniture Companies |
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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