Correlation Between Suzhou Novoprotein and Hefei Metalforming
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By analyzing existing cross correlation between Suzhou Novoprotein Scientific and Hefei Metalforming Mach, you can compare the effects of market volatilities on Suzhou Novoprotein and Hefei Metalforming 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 Hefei Metalforming. Check out your portfolio center. Please also check ongoing floating volatility patterns of Suzhou Novoprotein and Hefei Metalforming.
Diversification Opportunities for Suzhou Novoprotein and Hefei Metalforming
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Suzhou and Hefei is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Suzhou Novoprotein Scientific and Hefei Metalforming Mach in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hefei Metalforming Mach 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 Hefei Metalforming. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hefei Metalforming Mach has no effect on the direction of Suzhou Novoprotein i.e., Suzhou Novoprotein and Hefei Metalforming go up and down completely randomly.
Pair Corralation between Suzhou Novoprotein and Hefei Metalforming
Assuming the 90 days trading horizon Suzhou Novoprotein is expected to generate 1.68 times less return on investment than Hefei Metalforming. But when comparing it to its historical volatility, Suzhou Novoprotein Scientific is 1.2 times less risky than Hefei Metalforming. It trades about 0.13 of its potential returns per unit of risk. Hefei Metalforming Mach is currently generating about 0.19 of returns per unit of risk over similar time horizon. If you would invest 551.00 in Hefei Metalforming Mach on September 4, 2024 and sell it today you would earn a total of 246.00 from holding Hefei Metalforming Mach or generate 44.65% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Suzhou Novoprotein Scientific vs. Hefei Metalforming Mach
Performance |
Timeline |
Suzhou Novoprotein |
Hefei Metalforming Mach |
Suzhou Novoprotein and Hefei Metalforming Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Suzhou Novoprotein and Hefei Metalforming
The main advantage of trading using opposite Suzhou Novoprotein and Hefei Metalforming positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Suzhou Novoprotein position performs unexpectedly, Hefei Metalforming 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 Hefei Metalforming will offset losses from the drop in Hefei Metalforming's long position.Suzhou Novoprotein vs. Iat Automobile Technology | Suzhou Novoprotein vs. Dongfeng Automobile Co | Suzhou Novoprotein vs. Dawning Information Industry | Suzhou Novoprotein vs. CITIC Guoan Information |
Hefei Metalforming vs. Chengdu Kanghua Biological | Hefei Metalforming vs. Beijing Wantai Biological | Hefei Metalforming vs. Suzhou Novoprotein Scientific | Hefei Metalforming vs. Aluminum Corp of |
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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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