Correlation Between NEW MILLENNIUM and Tianjin Capital
Can any of the company-specific risk be diversified away by investing in both NEW MILLENNIUM and Tianjin Capital 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 NEW MILLENNIUM and Tianjin Capital into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NEW MILLENNIUM IRON and Tianjin Capital Environmental, you can compare the effects of market volatilities on NEW MILLENNIUM and Tianjin Capital 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 NEW MILLENNIUM with a short position of Tianjin Capital. Check out your portfolio center. Please also check ongoing floating volatility patterns of NEW MILLENNIUM and Tianjin Capital.
Diversification Opportunities for NEW MILLENNIUM and Tianjin Capital
0.48 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between NEW and Tianjin is 0.48. Overlapping area represents the amount of risk that can be diversified away by holding NEW MILLENNIUM IRON and Tianjin Capital Environmental in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tianjin Capital Envi and NEW MILLENNIUM 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 NEW MILLENNIUM IRON are associated (or correlated) with Tianjin Capital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tianjin Capital Envi has no effect on the direction of NEW MILLENNIUM i.e., NEW MILLENNIUM and Tianjin Capital go up and down completely randomly.
Pair Corralation between NEW MILLENNIUM and Tianjin Capital
Assuming the 90 days trading horizon NEW MILLENNIUM IRON is expected to under-perform the Tianjin Capital. In addition to that, NEW MILLENNIUM is 1.52 times more volatile than Tianjin Capital Environmental. It trades about -0.11 of its total potential returns per unit of risk. Tianjin Capital Environmental is currently generating about -0.02 per unit of volatility. If you would invest 39.00 in Tianjin Capital Environmental on December 21, 2024 and sell it today you would lose (1.00) from holding Tianjin Capital Environmental or give up 2.56% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
NEW MILLENNIUM IRON vs. Tianjin Capital Environmental
Performance |
Timeline |
NEW MILLENNIUM IRON |
Tianjin Capital Envi |
NEW MILLENNIUM and Tianjin Capital Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with NEW MILLENNIUM and Tianjin Capital
The main advantage of trading using opposite NEW MILLENNIUM and Tianjin Capital positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NEW MILLENNIUM position performs unexpectedly, Tianjin Capital 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 Tianjin Capital will offset losses from the drop in Tianjin Capital's long position.NEW MILLENNIUM vs. OFFICE DEPOT | NEW MILLENNIUM vs. ORMAT TECHNOLOGIES | NEW MILLENNIUM vs. FARO Technologies | NEW MILLENNIUM vs. Focus Home Interactive |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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