Correlation Between Luolai Home and Kangxin New
Specify exactly 2 symbols:
By analyzing existing cross correlation between Luolai Home Textile and Kangxin New Materials, you can compare the effects of market volatilities on Luolai Home and Kangxin New 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 Luolai Home with a short position of Kangxin New. Check out your portfolio center. Please also check ongoing floating volatility patterns of Luolai Home and Kangxin New.
Diversification Opportunities for Luolai Home and Kangxin New
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Luolai and Kangxin is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding Luolai Home Textile and Kangxin New Materials in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kangxin New Materials and Luolai Home 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 Luolai Home Textile are associated (or correlated) with Kangxin New. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kangxin New Materials has no effect on the direction of Luolai Home i.e., Luolai Home and Kangxin New go up and down completely randomly.
Pair Corralation between Luolai Home and Kangxin New
Assuming the 90 days trading horizon Luolai Home Textile is expected to generate 0.54 times more return on investment than Kangxin New. However, Luolai Home Textile is 1.84 times less risky than Kangxin New. It trades about -0.12 of its potential returns per unit of risk. Kangxin New Materials is currently generating about -0.11 per unit of risk. If you would invest 862.00 in Luolai Home Textile on December 11, 2024 and sell it today you would lose (112.00) from holding Luolai Home Textile or give up 12.99% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Luolai Home Textile vs. Kangxin New Materials
Performance |
Timeline |
Luolai Home Textile |
Kangxin New Materials |
Luolai Home and Kangxin New Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Luolai Home and Kangxin New
The main advantage of trading using opposite Luolai Home and Kangxin New positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Luolai Home position performs unexpectedly, Kangxin New 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 Kangxin New will offset losses from the drop in Kangxin New's long position.Luolai Home vs. Zhejiang Qianjiang Motorcycle | Luolai Home vs. Vanfund Urban Investment | Luolai Home vs. Zhejiang Construction Investment | Luolai Home vs. Zhongrun Resources Investment |
Kangxin New vs. Suofeiya Home Collection | Kangxin New vs. Markor International Home | Kangxin New vs. Mengtian Home Group | Kangxin New vs. Kale Environmental Technology |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
Other Complementary Tools
Portfolio Manager State of the art Portfolio Manager to monitor and improve performance of your invested capital | |
Latest Portfolios Quick portfolio dashboard that showcases your latest portfolios | |
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments |