Correlation Between CHINA FOODS and Dow Jones
Can any of the company-specific risk be diversified away by investing in both CHINA FOODS and Dow Jones 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 CHINA FOODS and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CHINA FOODS UNSPADR20 and Dow Jones Industrial, you can compare the effects of market volatilities on CHINA FOODS and Dow Jones 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 CHINA FOODS with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of CHINA FOODS and Dow Jones.
Diversification Opportunities for CHINA FOODS and Dow Jones
-0.22 | Correlation Coefficient |
Very good diversification
The 3 months correlation between CHINA and Dow is -0.22. Overlapping area represents the amount of risk that can be diversified away by holding CHINA FOODS UNSPADR20 and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and CHINA FOODS 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 CHINA FOODS UNSPADR20 are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of CHINA FOODS i.e., CHINA FOODS and Dow Jones go up and down completely randomly.
Pair Corralation between CHINA FOODS and Dow Jones
Assuming the 90 days trading horizon CHINA FOODS UNSPADR20 is expected to generate 3.66 times more return on investment than Dow Jones. However, CHINA FOODS is 3.66 times more volatile than Dow Jones Industrial. It trades about 0.08 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about -0.04 per unit of risk. If you would invest 580.00 in CHINA FOODS UNSPADR20 on December 29, 2024 and sell it today you would earn a total of 85.00 from holding CHINA FOODS UNSPADR20 or generate 14.66% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 96.83% |
Values | Daily Returns |
CHINA FOODS UNSPADR20 vs. Dow Jones Industrial
Performance |
Timeline |
CHINA FOODS and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
CHINA FOODS UNSPADR20
Pair trading matchups for CHINA FOODS
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with CHINA FOODS and Dow Jones
The main advantage of trading using opposite CHINA FOODS and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CHINA FOODS position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.CHINA FOODS vs. ANTA Sports Products | CHINA FOODS vs. SLR Investment Corp | CHINA FOODS vs. Yuexiu Transport Infrastructure | CHINA FOODS vs. Postal Savings Bank |
Dow Jones vs. Perseus Mining Limited | Dow Jones vs. Falcon Metals Limited | Dow Jones vs. Broadstone Net Lease | Dow Jones vs. PennantPark 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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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