Correlation Between Nine Dragons and Origin Agritech
Can any of the company-specific risk be diversified away by investing in both Nine Dragons and Origin Agritech 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 Nine Dragons and Origin Agritech into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nine Dragons Paper and Origin Agritech, you can compare the effects of market volatilities on Nine Dragons and Origin Agritech 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 Nine Dragons with a short position of Origin Agritech. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nine Dragons and Origin Agritech.
Diversification Opportunities for Nine Dragons and Origin Agritech
0.58 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Nine and Origin is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding Nine Dragons Paper and Origin Agritech in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Origin Agritech and Nine Dragons 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 Nine Dragons Paper are associated (or correlated) with Origin Agritech. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Origin Agritech has no effect on the direction of Nine Dragons i.e., Nine Dragons and Origin Agritech go up and down completely randomly.
Pair Corralation between Nine Dragons and Origin Agritech
Assuming the 90 days horizon Nine Dragons Paper is expected to generate 1.0 times more return on investment than Origin Agritech. However, Nine Dragons is 1.0 times more volatile than Origin Agritech. It trades about 0.07 of its potential returns per unit of risk. Origin Agritech is currently generating about 0.07 per unit of risk. If you would invest 37.00 in Nine Dragons Paper on September 15, 2024 and sell it today you would earn a total of 2.00 from holding Nine Dragons Paper or generate 5.41% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Nine Dragons Paper vs. Origin Agritech
Performance |
Timeline |
Nine Dragons Paper |
Origin Agritech |
Nine Dragons and Origin Agritech Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nine Dragons and Origin Agritech
The main advantage of trading using opposite Nine Dragons and Origin Agritech positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nine Dragons position performs unexpectedly, Origin Agritech 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 Origin Agritech will offset losses from the drop in Origin Agritech's long position.Nine Dragons vs. Stora Enso Oyj | Nine Dragons vs. Superior Plus Corp | Nine Dragons vs. Origin Agritech | Nine Dragons vs. INTUITIVE SURGICAL |
Origin Agritech vs. GRIFFIN MINING LTD | Origin Agritech vs. MCEWEN MINING INC | Origin Agritech vs. BRAGG GAMING GRP | Origin Agritech vs. Boyd Gaming |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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