Correlation Between CN DATANG and National Retail
Can any of the company-specific risk be diversified away by investing in both CN DATANG and National Retail 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 CN DATANG and National Retail into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CN DATANG C and National Retail Properties, you can compare the effects of market volatilities on CN DATANG and National Retail 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 CN DATANG with a short position of National Retail. Check out your portfolio center. Please also check ongoing floating volatility patterns of CN DATANG and National Retail.
Diversification Opportunities for CN DATANG and National Retail
0.38 | Correlation Coefficient |
Weak diversification
The 3 months correlation between DT7 and National is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding CN DATANG C and National Retail Properties in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on National Retail Prop and CN DATANG 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 CN DATANG C are associated (or correlated) with National Retail. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of National Retail Prop has no effect on the direction of CN DATANG i.e., CN DATANG and National Retail go up and down completely randomly.
Pair Corralation between CN DATANG and National Retail
Assuming the 90 days trading horizon CN DATANG C is expected to generate 2.52 times more return on investment than National Retail. However, CN DATANG is 2.52 times more volatile than National Retail Properties. It trades about 0.04 of its potential returns per unit of risk. National Retail Properties is currently generating about 0.04 per unit of risk. If you would invest 24.00 in CN DATANG C on December 20, 2024 and sell it today you would earn a total of 1.00 from holding CN DATANG C or generate 4.17% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.33% |
Values | Daily Returns |
CN DATANG C vs. National Retail Properties
Performance |
Timeline |
CN DATANG C |
National Retail Prop |
CN DATANG and National Retail Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CN DATANG and National Retail
The main advantage of trading using opposite CN DATANG and National Retail positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CN DATANG position performs unexpectedly, National Retail 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 National Retail will offset losses from the drop in National Retail's long position.CN DATANG vs. REVO INSURANCE SPA | CN DATANG vs. Erste Group Bank | CN DATANG vs. CREDIT AGRICOLE | CN DATANG vs. Varengold Bank AG |
National Retail vs. FAST RETAIL ADR | National Retail vs. Qurate Retail Series | National Retail vs. Fast Retailing Co | National Retail vs. QURATE RETAIL 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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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