Correlation Between RETAIL FOOD and Newmont
Can any of the company-specific risk be diversified away by investing in both RETAIL FOOD and Newmont 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 Newmont 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 Newmont, you can compare the effects of market volatilities on RETAIL FOOD and Newmont 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 Newmont. Check out your portfolio center. Please also check ongoing floating volatility patterns of RETAIL FOOD and Newmont.
Diversification Opportunities for RETAIL FOOD and Newmont
-0.24 | Correlation Coefficient |
Very good diversification
The 3 months correlation between RETAIL and Newmont is -0.24. Overlapping area represents the amount of risk that can be diversified away by holding RETAIL FOOD GROUP and Newmont in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Newmont 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 Newmont. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Newmont has no effect on the direction of RETAIL FOOD i.e., RETAIL FOOD and Newmont go up and down completely randomly.
Pair Corralation between RETAIL FOOD and Newmont
Assuming the 90 days trading horizon RETAIL FOOD GROUP is expected to under-perform the Newmont. In addition to that, RETAIL FOOD is 1.68 times more volatile than Newmont. It trades about -0.2 of its total potential returns per unit of risk. Newmont is currently generating about -0.22 per unit of volatility. If you would invest 3,901 in Newmont on October 5, 2024 and sell it today you would lose (294.00) from holding Newmont or give up 7.54% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
RETAIL FOOD GROUP vs. Newmont
Performance |
Timeline |
RETAIL FOOD GROUP |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Newmont |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
RETAIL FOOD and Newmont Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with RETAIL FOOD and Newmont
The main advantage of trading using opposite RETAIL FOOD and Newmont positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if RETAIL FOOD position performs unexpectedly, Newmont 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 Newmont will offset losses from the drop in Newmont's long position.The idea behind RETAIL FOOD GROUP and Newmont 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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
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