Correlation Between Jinsanjiang Silicon and Marssenger Kitchenware
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By analyzing existing cross correlation between Jinsanjiang Silicon Material and Marssenger Kitchenware Co, you can compare the effects of market volatilities on Jinsanjiang Silicon and Marssenger Kitchenware 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 Jinsanjiang Silicon with a short position of Marssenger Kitchenware. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jinsanjiang Silicon and Marssenger Kitchenware.
Diversification Opportunities for Jinsanjiang Silicon and Marssenger Kitchenware
0.37 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Jinsanjiang and Marssenger is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding Jinsanjiang Silicon Material and Marssenger Kitchenware Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Marssenger Kitchenware and Jinsanjiang Silicon 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 Jinsanjiang Silicon Material are associated (or correlated) with Marssenger Kitchenware. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Marssenger Kitchenware has no effect on the direction of Jinsanjiang Silicon i.e., Jinsanjiang Silicon and Marssenger Kitchenware go up and down completely randomly.
Pair Corralation between Jinsanjiang Silicon and Marssenger Kitchenware
Assuming the 90 days trading horizon Jinsanjiang Silicon Material is expected to generate 0.9 times more return on investment than Marssenger Kitchenware. However, Jinsanjiang Silicon Material is 1.12 times less risky than Marssenger Kitchenware. It trades about 0.09 of its potential returns per unit of risk. Marssenger Kitchenware Co is currently generating about 0.05 per unit of risk. If you would invest 874.00 in Jinsanjiang Silicon Material on October 4, 2024 and sell it today you would earn a total of 356.00 from holding Jinsanjiang Silicon Material or generate 40.73% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Jinsanjiang Silicon Material vs. Marssenger Kitchenware Co
Performance |
Timeline |
Jinsanjiang Silicon |
Marssenger Kitchenware |
Jinsanjiang Silicon and Marssenger Kitchenware Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jinsanjiang Silicon and Marssenger Kitchenware
The main advantage of trading using opposite Jinsanjiang Silicon and Marssenger Kitchenware positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jinsanjiang Silicon position performs unexpectedly, Marssenger Kitchenware 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 Marssenger Kitchenware will offset losses from the drop in Marssenger Kitchenware's long position.Jinsanjiang Silicon vs. Zijin Mining Group | Jinsanjiang Silicon vs. Wanhua Chemical Group | Jinsanjiang Silicon vs. Baoshan Iron Steel | Jinsanjiang Silicon vs. Shandong Gold Mining |
Marssenger Kitchenware vs. Xiangyang Automobile Bearing | Marssenger Kitchenware vs. CIMC Vehicles Co | Marssenger Kitchenware vs. Vats Liquor Chain | Marssenger Kitchenware vs. Yangmei Chemical Co |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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