Correlation Between China DatangRenewable and NAKED WINES
Can any of the company-specific risk be diversified away by investing in both China DatangRenewable and NAKED WINES 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 NAKED WINES into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between China Datang and NAKED WINES PLC, you can compare the effects of market volatilities on China DatangRenewable and NAKED WINES 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 NAKED WINES. Check out your portfolio center. Please also check ongoing floating volatility patterns of China DatangRenewable and NAKED WINES.
Diversification Opportunities for China DatangRenewable and NAKED WINES
-0.61 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between China and NAKED is -0.61. Overlapping area represents the amount of risk that can be diversified away by holding China Datang and NAKED WINES PLC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NAKED WINES PLC 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 NAKED WINES. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NAKED WINES PLC has no effect on the direction of China DatangRenewable i.e., China DatangRenewable and NAKED WINES go up and down completely randomly.
Pair Corralation between China DatangRenewable and NAKED WINES
Assuming the 90 days horizon China Datang is expected to generate 0.71 times more return on investment than NAKED WINES. However, China Datang is 1.41 times less risky than NAKED WINES. It trades about -0.08 of its potential returns per unit of risk. NAKED WINES PLC is currently generating about -0.12 per unit of risk. If you would invest 24.00 in China Datang on October 16, 2024 and sell it today you would lose (1.00) from holding China Datang or give up 4.17% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
China Datang vs. NAKED WINES PLC
Performance |
| Timeline |
| China DatangRenewable |
| NAKED WINES PLC |
China DatangRenewable and NAKED WINES Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with China DatangRenewable and NAKED WINES
The main advantage of trading using opposite China DatangRenewable and NAKED WINES positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China DatangRenewable position performs unexpectedly, NAKED WINES 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 NAKED WINES will offset losses from the drop in NAKED WINES's long position.| China DatangRenewable vs. AOI Electronics Co | China DatangRenewable vs. GigaMedia | China DatangRenewable vs. Flutter Entertainment PLC | China DatangRenewable vs. Fuji Media Holdings |
| NAKED WINES vs. China Datang | NAKED WINES vs. TRAINLINE PLC LS | NAKED WINES vs. CN DATANG C | NAKED WINES vs. GOLD ROAD RES |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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