Correlation Between Tianjin Capital and Hertz Global
Can any of the company-specific risk be diversified away by investing in both Tianjin Capital and Hertz Global 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 Hertz Global 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 Hertz Global Hldgs, you can compare the effects of market volatilities on Tianjin Capital and Hertz Global 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 Hertz Global. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tianjin Capital and Hertz Global.
Diversification Opportunities for Tianjin Capital and Hertz Global
0.38 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Tianjin and Hertz is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding Tianjin Capital Environmental and Hertz Global Hldgs in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hertz Global Hldgs 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 Hertz Global. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hertz Global Hldgs has no effect on the direction of Tianjin Capital i.e., Tianjin Capital and Hertz Global go up and down completely randomly.
Pair Corralation between Tianjin Capital and Hertz Global
Assuming the 90 days horizon Tianjin Capital is expected to generate 1.57 times less return on investment than Hertz Global. But when comparing it to its historical volatility, Tianjin Capital Environmental is 2.87 times less risky than Hertz Global. It trades about 0.13 of its potential returns per unit of risk. Hertz Global Hldgs is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 202.00 in Hertz Global Hldgs on October 10, 2024 and sell it today you would earn a total of 28.00 from holding Hertz Global Hldgs or generate 13.86% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Tianjin Capital Environmental vs. Hertz Global Hldgs
Performance |
Timeline |
Tianjin Capital Envi |
Hertz Global Hldgs |
Tianjin Capital and Hertz Global Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Tianjin Capital and Hertz Global
The main advantage of trading using opposite Tianjin Capital and Hertz Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tianjin Capital position performs unexpectedly, Hertz Global 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 Hertz Global will offset losses from the drop in Hertz Global's long position.Tianjin Capital vs. Willamette Valley Vineyards | Tianjin Capital vs. Inhibrx | Tianjin Capital vs. I Mab | Tianjin Capital vs. High Performance Beverages |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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