Correlation Between Beijing Sanyuan and Northking Information
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By analyzing existing cross correlation between Beijing Sanyuan Foods and Northking Information Technology, you can compare the effects of market volatilities on Beijing Sanyuan and Northking Information 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 Sanyuan with a short position of Northking Information. Check out your portfolio center. Please also check ongoing floating volatility patterns of Beijing Sanyuan and Northking Information.
Diversification Opportunities for Beijing Sanyuan and Northking Information
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Beijing and Northking is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Beijing Sanyuan Foods and Northking Information Technolo in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Northking Information and Beijing Sanyuan 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 Sanyuan Foods are associated (or correlated) with Northking Information. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Northking Information has no effect on the direction of Beijing Sanyuan i.e., Beijing Sanyuan and Northking Information go up and down completely randomly.
Pair Corralation between Beijing Sanyuan and Northking Information
Assuming the 90 days trading horizon Beijing Sanyuan is expected to generate 3.85 times less return on investment than Northking Information. But when comparing it to its historical volatility, Beijing Sanyuan Foods is 1.66 times less risky than Northking Information. It trades about 0.01 of its potential returns per unit of risk. Northking Information Technology is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 1,295 in Northking Information Technology on September 19, 2024 and sell it today you would earn a total of 228.00 from holding Northking Information Technology or generate 17.61% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Beijing Sanyuan Foods vs. Northking Information Technolo
Performance |
Timeline |
Beijing Sanyuan Foods |
Northking Information |
Beijing Sanyuan and Northking Information Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Beijing Sanyuan and Northking Information
The main advantage of trading using opposite Beijing Sanyuan and Northking Information positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Beijing Sanyuan position performs unexpectedly, Northking Information 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 Northking Information will offset losses from the drop in Northking Information's long position.Beijing Sanyuan vs. Nanjing Putian Telecommunications | Beijing Sanyuan vs. Tianjin Realty Development | Beijing Sanyuan vs. Kangyue Technology Co | Beijing Sanyuan vs. Shenzhen Hifuture Electric |
Northking Information vs. China Petroleum Chemical | Northking Information vs. PetroChina Co Ltd | Northking Information vs. China State Construction | Northking Information vs. China Railway Group |
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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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