Correlation Between Kingclean Electric and Shenzhen Centralcon
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By analyzing existing cross correlation between Kingclean Electric Co and Shenzhen Centralcon Investment, you can compare the effects of market volatilities on Kingclean Electric and Shenzhen Centralcon 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 Kingclean Electric with a short position of Shenzhen Centralcon. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kingclean Electric and Shenzhen Centralcon.
Diversification Opportunities for Kingclean Electric and Shenzhen Centralcon
0.25 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Kingclean and Shenzhen is 0.25. Overlapping area represents the amount of risk that can be diversified away by holding Kingclean Electric Co and Shenzhen Centralcon Investment in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shenzhen Centralcon and Kingclean Electric 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 Kingclean Electric Co are associated (or correlated) with Shenzhen Centralcon. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shenzhen Centralcon has no effect on the direction of Kingclean Electric i.e., Kingclean Electric and Shenzhen Centralcon go up and down completely randomly.
Pair Corralation between Kingclean Electric and Shenzhen Centralcon
Assuming the 90 days trading horizon Kingclean Electric Co is expected to under-perform the Shenzhen Centralcon. But the stock apears to be less risky and, when comparing its historical volatility, Kingclean Electric Co is 1.66 times less risky than Shenzhen Centralcon. The stock trades about -0.02 of its potential returns per unit of risk. The Shenzhen Centralcon Investment is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 361.00 in Shenzhen Centralcon Investment on October 14, 2024 and sell it today you would earn a total of 51.00 from holding Shenzhen Centralcon Investment or generate 14.13% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Kingclean Electric Co vs. Shenzhen Centralcon Investment
Performance |
Timeline |
Kingclean Electric |
Shenzhen Centralcon |
Kingclean Electric and Shenzhen Centralcon Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kingclean Electric and Shenzhen Centralcon
The main advantage of trading using opposite Kingclean Electric and Shenzhen Centralcon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kingclean Electric position performs unexpectedly, Shenzhen Centralcon 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 Shenzhen Centralcon will offset losses from the drop in Shenzhen Centralcon's long position.Kingclean Electric vs. Zhongfu Information | Kingclean Electric vs. Rising Nonferrous Metals | Kingclean Electric vs. Sublime China Information | Kingclean Electric vs. China Eastern Airlines |
Shenzhen Centralcon vs. Weihai Honglin Electronic | Shenzhen Centralcon vs. Leyard Optoelectronic | Shenzhen Centralcon vs. TongFu Microelectronics Co | Shenzhen Centralcon vs. YiDong Electronics Technology |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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