Correlation Between Shanghai Broadband and China Pacific
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By analyzing existing cross correlation between Shanghai Broadband Technology and China Pacific Insurance, you can compare the effects of market volatilities on Shanghai Broadband and China Pacific 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 Shanghai Broadband with a short position of China Pacific. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shanghai Broadband and China Pacific.
Diversification Opportunities for Shanghai Broadband and China Pacific
-0.49 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Shanghai and China is -0.49. Overlapping area represents the amount of risk that can be diversified away by holding Shanghai Broadband Technology and China Pacific Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China Pacific Insurance and Shanghai Broadband 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 Shanghai Broadband Technology are associated (or correlated) with China Pacific. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China Pacific Insurance has no effect on the direction of Shanghai Broadband i.e., Shanghai Broadband and China Pacific go up and down completely randomly.
Pair Corralation between Shanghai Broadband and China Pacific
Assuming the 90 days trading horizon Shanghai Broadband Technology is expected to under-perform the China Pacific. In addition to that, Shanghai Broadband is 1.94 times more volatile than China Pacific Insurance. It trades about -0.29 of its total potential returns per unit of risk. China Pacific Insurance is currently generating about -0.28 per unit of volatility. If you would invest 3,535 in China Pacific Insurance on October 10, 2024 and sell it today you would lose (368.00) from holding China Pacific Insurance or give up 10.41% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 95.45% |
Values | Daily Returns |
Shanghai Broadband Technology vs. China Pacific Insurance
Performance |
Timeline |
Shanghai Broadband |
China Pacific Insurance |
Shanghai Broadband and China Pacific Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Shanghai Broadband and China Pacific
The main advantage of trading using opposite Shanghai Broadband and China Pacific positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shanghai Broadband position performs unexpectedly, China Pacific 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 Pacific will offset losses from the drop in China Pacific's long position.The idea behind Shanghai Broadband Technology and China Pacific Insurance 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 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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