Correlation Between Suzhou Novoprotein and Anhui Jianghuai
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By analyzing existing cross correlation between Suzhou Novoprotein Scientific and Anhui Jianghuai Automobile, you can compare the effects of market volatilities on Suzhou Novoprotein and Anhui Jianghuai 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 Suzhou Novoprotein with a short position of Anhui Jianghuai. Check out your portfolio center. Please also check ongoing floating volatility patterns of Suzhou Novoprotein and Anhui Jianghuai.
Diversification Opportunities for Suzhou Novoprotein and Anhui Jianghuai
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Suzhou and Anhui is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding Suzhou Novoprotein Scientific and Anhui Jianghuai Automobile in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Anhui Jianghuai Auto and Suzhou Novoprotein 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 Suzhou Novoprotein Scientific are associated (or correlated) with Anhui Jianghuai. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Anhui Jianghuai Auto has no effect on the direction of Suzhou Novoprotein i.e., Suzhou Novoprotein and Anhui Jianghuai go up and down completely randomly.
Pair Corralation between Suzhou Novoprotein and Anhui Jianghuai
Assuming the 90 days trading horizon Suzhou Novoprotein Scientific is expected to under-perform the Anhui Jianghuai. But the stock apears to be less risky and, when comparing its historical volatility, Suzhou Novoprotein Scientific is 1.35 times less risky than Anhui Jianghuai. The stock trades about -0.06 of its potential returns per unit of risk. The Anhui Jianghuai Automobile is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 1,780 in Anhui Jianghuai Automobile on October 24, 2024 and sell it today you would earn a total of 2,226 from holding Anhui Jianghuai Automobile or generate 125.06% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Suzhou Novoprotein Scientific vs. Anhui Jianghuai Automobile
Performance |
Timeline |
Suzhou Novoprotein |
Anhui Jianghuai Auto |
Suzhou Novoprotein and Anhui Jianghuai Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Suzhou Novoprotein and Anhui Jianghuai
The main advantage of trading using opposite Suzhou Novoprotein and Anhui Jianghuai positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Suzhou Novoprotein position performs unexpectedly, Anhui Jianghuai 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 Anhui Jianghuai will offset losses from the drop in Anhui Jianghuai's long position.Suzhou Novoprotein vs. Jiangsu Yanghe Brewery | Suzhou Novoprotein vs. Shanghai Yaoji Playing | Suzhou Novoprotein vs. Chengdu Spaceon Electronics | Suzhou Novoprotein vs. JCHX Mining Management |
Anhui Jianghuai vs. New Hope Dairy | Anhui Jianghuai vs. Dazhong Transportation Group | Anhui Jianghuai vs. Marssenger Kitchenware Co | Anhui Jianghuai vs. Sichuan Fulin Transportation |
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 Money Managers module to screen money managers from public funds and ETFs managed around the world.
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