Correlation Between RETAIL FOOD and DATANG INTL
Can any of the company-specific risk be diversified away by investing in both RETAIL 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 RETAIL 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 RETAIL FOOD GROUP and DATANG INTL POW, you can compare the effects of market volatilities on RETAIL 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 RETAIL FOOD with a short position of DATANG INTL. Check out your portfolio center. Please also check ongoing floating volatility patterns of RETAIL FOOD and DATANG INTL.
Diversification Opportunities for RETAIL FOOD and DATANG INTL
-0.1 | Correlation Coefficient |
Good diversification
The 3 months correlation between RETAIL and DATANG is -0.1. Overlapping area represents the amount of risk that can be diversified away by holding RETAIL 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 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 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 RETAIL FOOD i.e., RETAIL FOOD and DATANG INTL go up and down completely randomly.
Pair Corralation between RETAIL FOOD and DATANG INTL
Assuming the 90 days trading horizon RETAIL FOOD GROUP is expected to under-perform the DATANG INTL. But the stock apears to be less risky and, when comparing its historical volatility, RETAIL FOOD GROUP is 1.0 times less risky than DATANG INTL. The stock trades about -0.13 of its potential returns per unit of risk. The DATANG INTL POW is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 17.00 in DATANG INTL POW on December 23, 2024 and sell it today you would earn a total of 2.00 from holding DATANG INTL POW or generate 11.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
RETAIL FOOD GROUP vs. DATANG INTL POW
Performance |
Timeline |
RETAIL FOOD GROUP |
DATANG INTL POW |
RETAIL FOOD and DATANG INTL Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with RETAIL FOOD and DATANG INTL
The main advantage of trading using opposite RETAIL FOOD and DATANG INTL positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if RETAIL 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.RETAIL FOOD vs. AIR LIQUIDE ADR | RETAIL FOOD vs. Electronic Arts | RETAIL FOOD vs. Renesas Electronics | RETAIL FOOD vs. UMC Electronics Co |
DATANG INTL vs. Chengdu PUTIAN Telecommunications | DATANG INTL vs. BE Semiconductor Industries | DATANG INTL vs. Hellenic Telecommunications Organization | DATANG INTL vs. Highlight Communications AG |
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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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