Correlation Between Longmaster Information and Beijing Compass
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By analyzing existing cross correlation between Longmaster Information Tech and Beijing Compass Technology, you can compare the effects of market volatilities on Longmaster Information and Beijing Compass 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 Longmaster Information with a short position of Beijing Compass. Check out your portfolio center. Please also check ongoing floating volatility patterns of Longmaster Information and Beijing Compass.
Diversification Opportunities for Longmaster Information and Beijing Compass
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Longmaster and Beijing is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Longmaster Information Tech and Beijing Compass Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Beijing Compass Tech and Longmaster Information 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 Longmaster Information Tech are associated (or correlated) with Beijing Compass. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Beijing Compass Tech has no effect on the direction of Longmaster Information i.e., Longmaster Information and Beijing Compass go up and down completely randomly.
Pair Corralation between Longmaster Information and Beijing Compass
Assuming the 90 days trading horizon Longmaster Information is expected to generate 1.38 times less return on investment than Beijing Compass. In addition to that, Longmaster Information is 1.06 times more volatile than Beijing Compass Technology. It trades about 0.04 of its total potential returns per unit of risk. Beijing Compass Technology is currently generating about 0.06 per unit of volatility. If you would invest 4,790 in Beijing Compass Technology on September 26, 2024 and sell it today you would earn a total of 4,858 from holding Beijing Compass Technology or generate 101.42% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 99.79% |
Values | Daily Returns |
Longmaster Information Tech vs. Beijing Compass Technology
Performance |
Timeline |
Longmaster Information |
Beijing Compass Tech |
Longmaster Information and Beijing Compass Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Longmaster Information and Beijing Compass
The main advantage of trading using opposite Longmaster Information and Beijing Compass positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Longmaster Information position performs unexpectedly, Beijing Compass 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 Compass will offset losses from the drop in Beijing Compass' long position.The idea behind Longmaster Information Tech and Beijing Compass Technology 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.
Beijing Compass vs. Talkweb Information System | Beijing Compass vs. ButOne Information Corp | Beijing Compass vs. Emdoor Information Co | Beijing Compass vs. Longmaster Information Tech |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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