Correlation Between Wintao Communications and China Petroleum
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By analyzing existing cross correlation between Wintao Communications Co and China Petroleum Chemical, you can compare the effects of market volatilities on Wintao Communications and China Petroleum 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 Wintao Communications with a short position of China Petroleum. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wintao Communications and China Petroleum.
Diversification Opportunities for Wintao Communications and China Petroleum
-0.07 | Correlation Coefficient |
Good diversification
The 3 months correlation between Wintao and China is -0.07. Overlapping area represents the amount of risk that can be diversified away by holding Wintao Communications Co and China Petroleum Chemical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China Petroleum Chemical and Wintao Communications 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 Wintao Communications Co are associated (or correlated) with China Petroleum. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China Petroleum Chemical has no effect on the direction of Wintao Communications i.e., Wintao Communications and China Petroleum go up and down completely randomly.
Pair Corralation between Wintao Communications and China Petroleum
Assuming the 90 days trading horizon Wintao Communications is expected to generate 2.16 times less return on investment than China Petroleum. In addition to that, Wintao Communications is 2.32 times more volatile than China Petroleum Chemical. It trades about 0.01 of its total potential returns per unit of risk. China Petroleum Chemical is currently generating about 0.06 per unit of volatility. If you would invest 425.00 in China Petroleum Chemical on September 26, 2024 and sell it today you would earn a total of 236.00 from holding China Petroleum Chemical or generate 55.53% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Wintao Communications Co vs. China Petroleum Chemical
Performance |
Timeline |
Wintao Communications |
China Petroleum Chemical |
Wintao Communications and China Petroleum Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Wintao Communications and China Petroleum
The main advantage of trading using opposite Wintao Communications and China Petroleum positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wintao Communications position performs unexpectedly, China Petroleum 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 China Petroleum will offset losses from the drop in China Petroleum's long position.The idea behind Wintao Communications Co and China Petroleum Chemical 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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