Correlation Between RETAIL FOOD and AURUBIS Dusseldorf
Can any of the company-specific risk be diversified away by investing in both RETAIL FOOD and AURUBIS Dusseldorf 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 AURUBIS Dusseldorf 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 AURUBIS Dusseldorf, you can compare the effects of market volatilities on RETAIL FOOD and AURUBIS Dusseldorf 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 AURUBIS Dusseldorf. Check out your portfolio center. Please also check ongoing floating volatility patterns of RETAIL FOOD and AURUBIS Dusseldorf.
Diversification Opportunities for RETAIL FOOD and AURUBIS Dusseldorf
0.36 | Correlation Coefficient |
Weak diversification
The 3 months correlation between RETAIL and AURUBIS is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding RETAIL FOOD GROUP and AURUBIS Dusseldorf in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AURUBIS Dusseldorf 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 AURUBIS Dusseldorf. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AURUBIS Dusseldorf has no effect on the direction of RETAIL FOOD i.e., RETAIL FOOD and AURUBIS Dusseldorf go up and down completely randomly.
Pair Corralation between RETAIL FOOD and AURUBIS Dusseldorf
Assuming the 90 days trading horizon RETAIL FOOD GROUP is expected to under-perform the AURUBIS Dusseldorf. In addition to that, RETAIL FOOD is 1.41 times more volatile than AURUBIS Dusseldorf. It trades about -0.02 of its total potential returns per unit of risk. AURUBIS Dusseldorf is currently generating about -0.01 per unit of volatility. If you would invest 8,918 in AURUBIS Dusseldorf on October 11, 2024 and sell it today you would lose (1,588) from holding AURUBIS Dusseldorf or give up 17.81% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 99.8% |
Values | Daily Returns |
RETAIL FOOD GROUP vs. AURUBIS Dusseldorf
Performance |
Timeline |
RETAIL FOOD GROUP |
AURUBIS Dusseldorf |
RETAIL FOOD and AURUBIS Dusseldorf Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with RETAIL FOOD and AURUBIS Dusseldorf
The main advantage of trading using opposite RETAIL FOOD and AURUBIS Dusseldorf positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if RETAIL FOOD position performs unexpectedly, AURUBIS Dusseldorf 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 AURUBIS Dusseldorf will offset losses from the drop in AURUBIS Dusseldorf's long position.RETAIL FOOD vs. NTG Nordic Transport | RETAIL FOOD vs. FIREWEED METALS P | RETAIL FOOD vs. Columbia Sportswear | RETAIL FOOD vs. Jacquet Metal Service |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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