Correlation Between Kangxin New and Beijing Seeyon
Specify exactly 2 symbols:
By analyzing existing cross correlation between Kangxin New Materials and Beijing Seeyon Internet, you can compare the effects of market volatilities on Kangxin New and Beijing Seeyon 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 Kangxin New with a short position of Beijing Seeyon. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kangxin New and Beijing Seeyon.
Diversification Opportunities for Kangxin New and Beijing Seeyon
0.28 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Kangxin and Beijing is 0.28. Overlapping area represents the amount of risk that can be diversified away by holding Kangxin New Materials and Beijing Seeyon Internet in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Beijing Seeyon Internet and Kangxin New 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 Kangxin New Materials are associated (or correlated) with Beijing Seeyon. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Beijing Seeyon Internet has no effect on the direction of Kangxin New i.e., Kangxin New and Beijing Seeyon go up and down completely randomly.
Pair Corralation between Kangxin New and Beijing Seeyon
Assuming the 90 days trading horizon Kangxin New is expected to generate 15.75 times less return on investment than Beijing Seeyon. But when comparing it to its historical volatility, Kangxin New Materials is 1.85 times less risky than Beijing Seeyon. It trades about 0.02 of its potential returns per unit of risk. Beijing Seeyon Internet is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 2,117 in Beijing Seeyon Internet on December 26, 2024 and sell it today you would earn a total of 1,322 from holding Beijing Seeyon Internet or generate 62.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Kangxin New Materials vs. Beijing Seeyon Internet
Performance |
Timeline |
Kangxin New Materials |
Beijing Seeyon Internet |
Kangxin New and Beijing Seeyon Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kangxin New and Beijing Seeyon
The main advantage of trading using opposite Kangxin New and Beijing Seeyon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kangxin New position performs unexpectedly, Beijing Seeyon 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 Seeyon will offset losses from the drop in Beijing Seeyon's long position.Kangxin New vs. Sanxiang Advanced Materials | Kangxin New vs. Uroica Mining Safety | Kangxin New vs. Western Metal Materials | Kangxin New vs. Tibet Huayu Mining |
Beijing Seeyon vs. Western Metal Materials | Beijing Seeyon vs. ZYF Lopsking Aluminum | Beijing Seeyon vs. North Copper Shanxi | Beijing Seeyon vs. Uroica Mining Safety |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
Other Complementary Tools
Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios | |
Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
Volatility Analysis Get historical volatility and risk analysis based on latest market data |