Correlation Between Retail Food and Autosports
Can any of the company-specific risk be diversified away by investing in both Retail Food and Autosports 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 Retail Food and Autosports into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Retail Food Group and Autosports Group, you can compare the effects of market volatilities on Retail Food and Autosports 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 Retail Food with a short position of Autosports. Check out your portfolio center. Please also check ongoing floating volatility patterns of Retail Food and Autosports.
Diversification Opportunities for Retail Food and Autosports
-0.61 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Retail and Autosports is -0.61. Overlapping area represents the amount of risk that can be diversified away by holding Retail Food Group and Autosports Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Autosports Group and Retail Food 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 Retail Food Group are associated (or correlated) with Autosports. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Autosports Group has no effect on the direction of Retail Food i.e., Retail Food and Autosports go up and down completely randomly.
Pair Corralation between Retail Food and Autosports
Assuming the 90 days trading horizon Retail Food Group is expected to generate 1.55 times more return on investment than Autosports. However, Retail Food is 1.55 times more volatile than Autosports Group. It trades about 0.1 of its potential returns per unit of risk. Autosports Group is currently generating about -0.38 per unit of risk. If you would invest 264.00 in Retail Food Group on September 19, 2024 and sell it today you would earn a total of 24.00 from holding Retail Food Group or generate 9.09% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Retail Food Group vs. Autosports Group
Performance |
Timeline |
Retail Food Group |
Autosports Group |
Retail Food and Autosports Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Retail Food and Autosports
The main advantage of trading using opposite Retail Food and Autosports positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Retail Food position performs unexpectedly, Autosports 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 Autosports will offset losses from the drop in Autosports' long position.Retail Food vs. Auswide Bank | Retail Food vs. MA Financial Group | Retail Food vs. Healthco Healthcare and | Retail Food vs. Global Health |
Autosports vs. Retail Food Group | Autosports vs. ABACUS STORAGE KING | Autosports vs. oOhMedia | Autosports vs. Truscott Mining Corp |
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 Dashboard module to portfolio dashboard that provides centralized access to all your investments.
Other Complementary Tools
CEOs Directory Screen CEOs from public companies around the world | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
Commodity Channel Use Commodity Channel Index to analyze current equity momentum | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
Portfolio Comparator Compare the composition, asset allocations and performance of any two portfolios in your account |