Correlation Between J Sainsbury and Kingfisher Plc
Can any of the company-specific risk be diversified away by investing in both J Sainsbury and Kingfisher Plc 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 J Sainsbury and Kingfisher Plc into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between J Sainsbury plc and Kingfisher plc, you can compare the effects of market volatilities on J Sainsbury and Kingfisher Plc 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 J Sainsbury with a short position of Kingfisher Plc. Check out your portfolio center. Please also check ongoing floating volatility patterns of J Sainsbury and Kingfisher Plc.
Diversification Opportunities for J Sainsbury and Kingfisher Plc
0.63 | Correlation Coefficient |
Poor diversification
The 3 months correlation between JSNSF and Kingfisher is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding J Sainsbury plc and Kingfisher plc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kingfisher plc and J Sainsbury 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 J Sainsbury plc are associated (or correlated) with Kingfisher Plc. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kingfisher plc has no effect on the direction of J Sainsbury i.e., J Sainsbury and Kingfisher Plc go up and down completely randomly.
Pair Corralation between J Sainsbury and Kingfisher Plc
Assuming the 90 days horizon J Sainsbury plc is expected to generate 1.35 times more return on investment than Kingfisher Plc. However, J Sainsbury is 1.35 times more volatile than Kingfisher plc. It trades about 0.01 of its potential returns per unit of risk. Kingfisher plc is currently generating about -0.09 per unit of risk. If you would invest 405.00 in J Sainsbury plc on September 28, 2024 and sell it today you would lose (20.00) from holding J Sainsbury plc or give up 4.94% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
J Sainsbury plc vs. Kingfisher plc
Performance |
Timeline |
J Sainsbury plc |
Kingfisher plc |
J Sainsbury and Kingfisher Plc Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with J Sainsbury and Kingfisher Plc
The main advantage of trading using opposite J Sainsbury and Kingfisher Plc positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if J Sainsbury position performs unexpectedly, Kingfisher Plc 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 Kingfisher Plc will offset losses from the drop in Kingfisher Plc's long position.J Sainsbury vs. Sendas Distribuidora SA | J Sainsbury vs. Weis Markets | J Sainsbury vs. Natural Grocers by |
Kingfisher Plc vs. Lowes Companies | Kingfisher Plc vs. Home Depot | Kingfisher Plc vs. Live Ventures | Kingfisher Plc 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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
Other Complementary Tools
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm |