Correlation Between Tianjin Capital and United States
Can any of the company-specific risk be diversified away by investing in both Tianjin Capital and United States 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 Tianjin Capital and United States into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tianjin Capital Environmental and United States Steel, you can compare the effects of market volatilities on Tianjin Capital and United States 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 Tianjin Capital with a short position of United States. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tianjin Capital and United States.
Diversification Opportunities for Tianjin Capital and United States
-0.25 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Tianjin and United is -0.25. Overlapping area represents the amount of risk that can be diversified away by holding Tianjin Capital Environmental and United States Steel in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on United States Steel and Tianjin Capital 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 Tianjin Capital Environmental are associated (or correlated) with United States. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of United States Steel has no effect on the direction of Tianjin Capital i.e., Tianjin Capital and United States go up and down completely randomly.
Pair Corralation between Tianjin Capital and United States
Assuming the 90 days horizon Tianjin Capital Environmental is expected to under-perform the United States. But the stock apears to be less risky and, when comparing its historical volatility, Tianjin Capital Environmental is 1.95 times less risky than United States. The stock trades about -0.07 of its potential returns per unit of risk. The United States Steel is currently generating about 0.2 of returns per unit of risk over similar time horizon. If you would invest 2,975 in United States Steel on December 29, 2024 and sell it today you would earn a total of 1,225 from holding United States Steel or generate 41.18% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Tianjin Capital Environmental vs. United States Steel
Performance |
Timeline |
Tianjin Capital Envi |
United States Steel |
Tianjin Capital and United States Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Tianjin Capital and United States
The main advantage of trading using opposite Tianjin Capital and United States positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tianjin Capital position performs unexpectedly, United States 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 United States will offset losses from the drop in United States' long position.Tianjin Capital vs. Endeavour Mining PLC | Tianjin Capital vs. MAG SILVER | Tianjin Capital vs. Aya Gold Silver | Tianjin Capital vs. Globex Mining Enterprises |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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