Correlation Between Changchun Engley and Tianjin Ruixin
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By analyzing existing cross correlation between Changchun Engley Automobile and Tianjin Ruixin Technology, you can compare the effects of market volatilities on Changchun Engley and Tianjin Ruixin 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 Changchun Engley with a short position of Tianjin Ruixin. Check out your portfolio center. Please also check ongoing floating volatility patterns of Changchun Engley and Tianjin Ruixin.
Diversification Opportunities for Changchun Engley and Tianjin Ruixin
0.48 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Changchun and Tianjin is 0.48. Overlapping area represents the amount of risk that can be diversified away by holding Changchun Engley Automobile and Tianjin Ruixin Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tianjin Ruixin Technology and Changchun Engley 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 Changchun Engley Automobile are associated (or correlated) with Tianjin Ruixin. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tianjin Ruixin Technology has no effect on the direction of Changchun Engley i.e., Changchun Engley and Tianjin Ruixin go up and down completely randomly.
Pair Corralation between Changchun Engley and Tianjin Ruixin
Assuming the 90 days trading horizon Changchun Engley Automobile is expected to under-perform the Tianjin Ruixin. But the stock apears to be less risky and, when comparing its historical volatility, Changchun Engley Automobile is 1.59 times less risky than Tianjin Ruixin. The stock trades about -0.38 of its potential returns per unit of risk. The Tianjin Ruixin Technology is currently generating about -0.2 of returns per unit of risk over similar time horizon. If you would invest 1,808 in Tianjin Ruixin Technology on October 12, 2024 and sell it today you would lose (328.00) from holding Tianjin Ruixin Technology or give up 18.14% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Changchun Engley Automobile vs. Tianjin Ruixin Technology
Performance |
Timeline |
Changchun Engley Aut |
Tianjin Ruixin Technology |
Changchun Engley and Tianjin Ruixin Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Changchun Engley and Tianjin Ruixin
The main advantage of trading using opposite Changchun Engley and Tianjin Ruixin positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Changchun Engley position performs unexpectedly, Tianjin Ruixin 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 Ruixin will offset losses from the drop in Tianjin Ruixin's long position.Changchun Engley vs. Nantong Haixing Electronics | Changchun Engley vs. Miracll Chemicals Co | Changchun Engley vs. Shijiazhuang Tonhe Electronics | Changchun Engley vs. Dymatic Chemicals |
Tianjin Ruixin vs. Zhejiang Qianjiang Motorcycle | Tianjin Ruixin vs. Changchun Engley Automobile | Tianjin Ruixin vs. Songz Automobile Air | Tianjin Ruixin vs. King Strong New Material |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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