Correlation Between Performance Food and DATANG INTL
Can any of the company-specific risk be diversified away by investing in both Performance Food and DATANG INTL 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 Performance Food and DATANG INTL into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Performance Food Group and DATANG INTL POW, you can compare the effects of market volatilities on Performance Food and DATANG INTL 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 Performance Food with a short position of DATANG INTL. Check out your portfolio center. Please also check ongoing floating volatility patterns of Performance Food and DATANG INTL.
Diversification Opportunities for Performance Food and DATANG INTL
-0.51 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Performance and DATANG is -0.51. Overlapping area represents the amount of risk that can be diversified away by holding Performance Food Group and DATANG INTL POW in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DATANG INTL POW and Performance 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 Performance Food Group are associated (or correlated) with DATANG INTL. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DATANG INTL POW has no effect on the direction of Performance Food i.e., Performance Food and DATANG INTL go up and down completely randomly.
Pair Corralation between Performance Food and DATANG INTL
Assuming the 90 days trading horizon Performance Food Group is expected to generate 0.36 times more return on investment than DATANG INTL. However, Performance Food Group is 2.77 times less risky than DATANG INTL. It trades about 0.15 of its potential returns per unit of risk. DATANG INTL POW is currently generating about -0.03 per unit of risk. If you would invest 7,150 in Performance Food Group on October 4, 2024 and sell it today you would earn a total of 950.00 from holding Performance Food Group or generate 13.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Performance Food Group vs. DATANG INTL POW
Performance |
Timeline |
Performance Food |
DATANG INTL POW |
Performance Food and DATANG INTL Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Performance Food and DATANG INTL
The main advantage of trading using opposite Performance Food and DATANG INTL positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Performance Food position performs unexpectedly, DATANG INTL 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 DATANG INTL will offset losses from the drop in DATANG INTL's long position.Performance Food vs. Apple Inc | Performance Food vs. Apple Inc | Performance Food vs. Apple Inc | Performance Food vs. Apple Inc |
DATANG INTL vs. Apple Inc | DATANG INTL vs. Apple Inc | DATANG INTL vs. Apple Inc | DATANG INTL vs. Apple Inc |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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