Correlation Between KS AG and China Green
Can any of the company-specific risk be diversified away by investing in both KS AG and China Green 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 KS AG and China Green into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between KS AG DRC and China Green Agriculture, you can compare the effects of market volatilities on KS AG and China Green 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 KS AG with a short position of China Green. Check out your portfolio center. Please also check ongoing floating volatility patterns of KS AG and China Green.
Diversification Opportunities for KS AG and China Green
-0.1 | Correlation Coefficient |
Good diversification
The 3 months correlation between KPLUY and China is -0.1. Overlapping area represents the amount of risk that can be diversified away by holding KS AG DRC and China Green Agriculture in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China Green Agriculture and KS AG 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 KS AG DRC are associated (or correlated) with China Green. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China Green Agriculture has no effect on the direction of KS AG i.e., KS AG and China Green go up and down completely randomly.
Pair Corralation between KS AG and China Green
Assuming the 90 days horizon KS AG DRC is expected to under-perform the China Green. But the otc stock apears to be less risky and, when comparing its historical volatility, KS AG DRC is 1.64 times less risky than China Green. The otc stock trades about -0.01 of its potential returns per unit of risk. The China Green Agriculture is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest 407.00 in China Green Agriculture on September 16, 2024 and sell it today you would lose (209.00) from holding China Green Agriculture or give up 51.35% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.15% |
Values | Daily Returns |
KS AG DRC vs. China Green Agriculture
Performance |
Timeline |
KS AG DRC |
China Green Agriculture |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Insignificant
KS AG and China Green Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with KS AG and China Green
The main advantage of trading using opposite KS AG and China Green positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KS AG position performs unexpectedly, China Green 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 China Green will offset losses from the drop in China Green's long position.KS AG vs. Yara International ASA | KS AG vs. Boswell J G | KS AG vs. ICL Israel Chemicals | KS AG vs. CF Industries Holdings |
China Green vs. KS AG DRC | China Green vs. Intrepid Potash | China Green vs. Bioceres Crop Solutions | China Green vs. American Vanguard |
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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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