Correlation Between BG Foods and JD SPORTS
Can any of the company-specific risk be diversified away by investing in both BG Foods 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 BG Foods and JD SPORTS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BG Foods and JD SPORTS FASH, you can compare the effects of market volatilities on BG Foods 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 BG Foods with a short position of JD SPORTS. Check out your portfolio center. Please also check ongoing floating volatility patterns of BG Foods and JD SPORTS.
Diversification Opportunities for BG Foods and JD SPORTS
Poor diversification
The 3 months correlation between DHR and 9JD is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding BG Foods and JD SPORTS FASH in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on JD SPORTS FASH and BG Foods 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 BG Foods 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 FASH has no effect on the direction of BG Foods i.e., BG Foods and JD SPORTS go up and down completely randomly.
Pair Corralation between BG Foods and JD SPORTS
Assuming the 90 days trading horizon BG Foods is expected to generate 2.25 times more return on investment than JD SPORTS. However, BG Foods is 2.25 times more volatile than JD SPORTS FASH. It trades about 0.05 of its potential returns per unit of risk. JD SPORTS FASH is currently generating about -0.39 per unit of risk. If you would invest 626.00 in BG Foods on October 5, 2024 and sell it today you would earn a total of 13.00 from holding BG Foods or generate 2.08% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
BG Foods vs. JD SPORTS FASH
Performance |
Timeline |
BG Foods |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
JD SPORTS FASH |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
BG Foods and JD SPORTS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BG Foods and JD SPORTS
The main advantage of trading using opposite BG Foods and JD SPORTS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BG Foods 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's long position.The idea behind BG Foods and JD SPORTS FASH pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.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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