Correlation Between Beijing HuaYuanYiTong and Ningbo Thermal
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By analyzing existing cross correlation between Beijing HuaYuanYiTong Thermal and Ningbo Thermal Power, you can compare the effects of market volatilities on Beijing HuaYuanYiTong and Ningbo Thermal 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 Beijing HuaYuanYiTong with a short position of Ningbo Thermal. Check out your portfolio center. Please also check ongoing floating volatility patterns of Beijing HuaYuanYiTong and Ningbo Thermal.
Diversification Opportunities for Beijing HuaYuanYiTong and Ningbo Thermal
0.2 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Beijing and Ningbo is 0.2. Overlapping area represents the amount of risk that can be diversified away by holding Beijing HuaYuanYiTong Thermal and Ningbo Thermal Power in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ningbo Thermal Power and Beijing HuaYuanYiTong 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 Beijing HuaYuanYiTong Thermal are associated (or correlated) with Ningbo Thermal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ningbo Thermal Power has no effect on the direction of Beijing HuaYuanYiTong i.e., Beijing HuaYuanYiTong and Ningbo Thermal go up and down completely randomly.
Pair Corralation between Beijing HuaYuanYiTong and Ningbo Thermal
Assuming the 90 days trading horizon Beijing HuaYuanYiTong Thermal is expected to under-perform the Ningbo Thermal. But the stock apears to be less risky and, when comparing its historical volatility, Beijing HuaYuanYiTong Thermal is 1.33 times less risky than Ningbo Thermal. The stock trades about -0.06 of its potential returns per unit of risk. The Ningbo Thermal Power is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 404.00 in Ningbo Thermal Power on December 2, 2024 and sell it today you would earn a total of 20.00 from holding Ningbo Thermal Power or generate 4.95% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Beijing HuaYuanYiTong Thermal vs. Ningbo Thermal Power
Performance |
Timeline |
Beijing HuaYuanYiTong |
Ningbo Thermal Power |
Beijing HuaYuanYiTong and Ningbo Thermal Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Beijing HuaYuanYiTong and Ningbo Thermal
The main advantage of trading using opposite Beijing HuaYuanYiTong and Ningbo Thermal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Beijing HuaYuanYiTong position performs unexpectedly, Ningbo Thermal 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 Ningbo Thermal will offset losses from the drop in Ningbo Thermal's long position.The idea behind Beijing HuaYuanYiTong Thermal and Ningbo Thermal Power pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
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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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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