Correlation Between China DatangRenewable and RETAIL FOOD
Can any of the company-specific risk be diversified away by investing in both China DatangRenewable and RETAIL FOOD 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 DatangRenewable and RETAIL FOOD into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between China Datang and RETAIL FOOD GROUP, you can compare the effects of market volatilities on China DatangRenewable and RETAIL FOOD 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 DatangRenewable with a short position of RETAIL FOOD. Check out your portfolio center. Please also check ongoing floating volatility patterns of China DatangRenewable and RETAIL FOOD.
Diversification Opportunities for China DatangRenewable and RETAIL FOOD
-0.02 | Correlation Coefficient |
Good diversification
The 3 months correlation between China and RETAIL is -0.02. Overlapping area represents the amount of risk that can be diversified away by holding China Datang and RETAIL FOOD GROUP in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on RETAIL FOOD GROUP and China DatangRenewable 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 Datang are associated (or correlated) with RETAIL FOOD. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of RETAIL FOOD GROUP has no effect on the direction of China DatangRenewable i.e., China DatangRenewable and RETAIL FOOD go up and down completely randomly.
Pair Corralation between China DatangRenewable and RETAIL FOOD
Assuming the 90 days horizon China Datang is expected to generate 1.47 times more return on investment than RETAIL FOOD. However, China DatangRenewable is 1.47 times more volatile than RETAIL FOOD GROUP. It trades about 0.04 of its potential returns per unit of risk. RETAIL FOOD GROUP is currently generating about -0.02 per unit of risk. If you would invest 15.00 in China Datang on October 11, 2024 and sell it today you would earn a total of 9.00 from holding China Datang or generate 60.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
China Datang vs. RETAIL FOOD GROUP
Performance |
Timeline |
China DatangRenewable |
RETAIL FOOD GROUP |
China DatangRenewable and RETAIL FOOD Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with China DatangRenewable and RETAIL FOOD
The main advantage of trading using opposite China DatangRenewable and RETAIL FOOD positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China DatangRenewable position performs unexpectedly, RETAIL FOOD 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 RETAIL FOOD will offset losses from the drop in RETAIL FOOD's long position.China DatangRenewable vs. NextEra Energy | China DatangRenewable vs. Xcel Energy | China DatangRenewable vs. Superior Plus Corp | China DatangRenewable vs. NMI Holdings |
RETAIL FOOD vs. NTG Nordic Transport | RETAIL FOOD vs. FIREWEED METALS P | RETAIL FOOD vs. Columbia Sportswear | RETAIL FOOD vs. Jacquet Metal Service |
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 Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.
Other Complementary Tools
Crypto Correlations Use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance |