Correlation Between Marssenger Kitchenware and Weichai Heavy
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By analyzing existing cross correlation between Marssenger Kitchenware Co and Weichai Heavy Machinery, you can compare the effects of market volatilities on Marssenger Kitchenware and Weichai Heavy 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 Marssenger Kitchenware with a short position of Weichai Heavy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Marssenger Kitchenware and Weichai Heavy.
Diversification Opportunities for Marssenger Kitchenware and Weichai Heavy
0.58 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Marssenger and Weichai is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding Marssenger Kitchenware Co and Weichai Heavy Machinery in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Weichai Heavy Machinery and Marssenger Kitchenware 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 Marssenger Kitchenware Co are associated (or correlated) with Weichai Heavy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Weichai Heavy Machinery has no effect on the direction of Marssenger Kitchenware i.e., Marssenger Kitchenware and Weichai Heavy go up and down completely randomly.
Pair Corralation between Marssenger Kitchenware and Weichai Heavy
Assuming the 90 days trading horizon Marssenger Kitchenware is expected to generate 2.36 times less return on investment than Weichai Heavy. In addition to that, Marssenger Kitchenware is 1.05 times more volatile than Weichai Heavy Machinery. It trades about 0.08 of its total potential returns per unit of risk. Weichai Heavy Machinery is currently generating about 0.19 per unit of volatility. If you would invest 907.00 in Weichai Heavy Machinery on September 25, 2024 and sell it today you would earn a total of 533.00 from holding Weichai Heavy Machinery or generate 58.77% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Marssenger Kitchenware Co vs. Weichai Heavy Machinery
Performance |
Timeline |
Marssenger Kitchenware |
Weichai Heavy Machinery |
Marssenger Kitchenware and Weichai Heavy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Marssenger Kitchenware and Weichai Heavy
The main advantage of trading using opposite Marssenger Kitchenware and Weichai Heavy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Marssenger Kitchenware position performs unexpectedly, Weichai Heavy 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 Weichai Heavy will offset losses from the drop in Weichai Heavy's long position.The idea behind Marssenger Kitchenware Co and Weichai Heavy Machinery pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
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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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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