Correlation Between HaiXin Foods and Beijing Kingsoft
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By analyzing existing cross correlation between HaiXin Foods Co and Beijing Kingsoft Office, you can compare the effects of market volatilities on HaiXin Foods and Beijing Kingsoft 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 HaiXin Foods with a short position of Beijing Kingsoft. Check out your portfolio center. Please also check ongoing floating volatility patterns of HaiXin Foods and Beijing Kingsoft.
Diversification Opportunities for HaiXin Foods and Beijing Kingsoft
0.63 | Correlation Coefficient |
Poor diversification
The 3 months correlation between HaiXin and Beijing is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding HaiXin Foods Co and Beijing Kingsoft Office in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Beijing Kingsoft Office and HaiXin Foods 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 HaiXin Foods Co are associated (or correlated) with Beijing Kingsoft. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Beijing Kingsoft Office has no effect on the direction of HaiXin Foods i.e., HaiXin Foods and Beijing Kingsoft go up and down completely randomly.
Pair Corralation between HaiXin Foods and Beijing Kingsoft
Assuming the 90 days trading horizon HaiXin Foods Co is expected to under-perform the Beijing Kingsoft. But the stock apears to be less risky and, when comparing its historical volatility, HaiXin Foods Co is 1.14 times less risky than Beijing Kingsoft. The stock trades about -0.06 of its potential returns per unit of risk. The Beijing Kingsoft Office is currently generating about 0.42 of returns per unit of risk over similar time horizon. If you would invest 25,765 in Beijing Kingsoft Office on November 7, 2024 and sell it today you would earn a total of 5,635 from holding Beijing Kingsoft Office or generate 21.87% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
HaiXin Foods Co vs. Beijing Kingsoft Office
Performance |
| Timeline |
| HaiXin Foods |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
| Beijing Kingsoft Office |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Modest
HaiXin Foods and Beijing Kingsoft Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with HaiXin Foods and Beijing Kingsoft
The main advantage of trading using opposite HaiXin Foods and Beijing Kingsoft positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if HaiXin Foods position performs unexpectedly, Beijing Kingsoft 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 Beijing Kingsoft will offset losses from the drop in Beijing Kingsoft's long position.The idea behind HaiXin Foods Co and Beijing Kingsoft Office 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.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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