Correlation Between Ningxia Younglight and Citic Offshore
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By analyzing existing cross correlation between Ningxia Younglight Chemicals and Citic Offshore Helicopter, you can compare the effects of market volatilities on Ningxia Younglight and Citic Offshore 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 Ningxia Younglight with a short position of Citic Offshore. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ningxia Younglight and Citic Offshore.
Diversification Opportunities for Ningxia Younglight and Citic Offshore
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Ningxia and Citic is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Ningxia Younglight Chemicals and Citic Offshore Helicopter in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Citic Offshore Helicopter and Ningxia Younglight 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 Ningxia Younglight Chemicals are associated (or correlated) with Citic Offshore. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Citic Offshore Helicopter has no effect on the direction of Ningxia Younglight i.e., Ningxia Younglight and Citic Offshore go up and down completely randomly.
Pair Corralation between Ningxia Younglight and Citic Offshore
Assuming the 90 days trading horizon Ningxia Younglight Chemicals is expected to under-perform the Citic Offshore. But the stock apears to be less risky and, when comparing its historical volatility, Ningxia Younglight Chemicals is 1.24 times less risky than Citic Offshore. The stock trades about -0.01 of its potential returns per unit of risk. The Citic Offshore Helicopter is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 895.00 in Citic Offshore Helicopter on October 9, 2024 and sell it today you would earn a total of 1,364 from holding Citic Offshore Helicopter or generate 152.4% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Ningxia Younglight Chemicals vs. Citic Offshore Helicopter
Performance |
Timeline |
Ningxia Younglight |
Citic Offshore Helicopter |
Ningxia Younglight and Citic Offshore Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ningxia Younglight and Citic Offshore
The main advantage of trading using opposite Ningxia Younglight and Citic Offshore positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ningxia Younglight position performs unexpectedly, Citic Offshore 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 Citic Offshore will offset losses from the drop in Citic Offshore's long position.Ningxia Younglight vs. Hangzhou Guotai Environmental | Ningxia Younglight vs. Soyea Technology Co | Ningxia Younglight vs. Bangyan Technology Co | Ningxia Younglight vs. Guangdong Xiongsu Technology |
Citic Offshore vs. Dazhong Transportation Group | Citic Offshore vs. Peoples Insurance of | Citic Offshore vs. China Satellite Communications | Citic Offshore vs. Eastern Communications Co |
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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