Correlation Between Xizi Clean and Lonkey Industrial
Specify exactly 2 symbols:
By analyzing existing cross correlation between Xizi Clean Energy and Lonkey Industrial Co, you can compare the effects of market volatilities on Xizi Clean and Lonkey Industrial 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 Xizi Clean with a short position of Lonkey Industrial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Xizi Clean and Lonkey Industrial.
Diversification Opportunities for Xizi Clean and Lonkey Industrial
0.41 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Xizi and Lonkey is 0.41. Overlapping area represents the amount of risk that can be diversified away by holding Xizi Clean Energy and Lonkey Industrial Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lonkey Industrial and Xizi Clean 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 Xizi Clean Energy are associated (or correlated) with Lonkey Industrial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lonkey Industrial has no effect on the direction of Xizi Clean i.e., Xizi Clean and Lonkey Industrial go up and down completely randomly.
Pair Corralation between Xizi Clean and Lonkey Industrial
Assuming the 90 days trading horizon Xizi Clean Energy is expected to generate 1.11 times more return on investment than Lonkey Industrial. However, Xizi Clean is 1.11 times more volatile than Lonkey Industrial Co. It trades about 0.03 of its potential returns per unit of risk. Lonkey Industrial Co is currently generating about -0.52 per unit of risk. If you would invest 1,189 in Xizi Clean Energy on October 13, 2024 and sell it today you would earn a total of 9.00 from holding Xizi Clean Energy or generate 0.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Xizi Clean Energy vs. Lonkey Industrial Co
Performance |
Timeline |
Xizi Clean Energy |
Lonkey Industrial |
Xizi Clean and Lonkey Industrial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Xizi Clean and Lonkey Industrial
The main advantage of trading using opposite Xizi Clean and Lonkey Industrial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Xizi Clean position performs unexpectedly, Lonkey Industrial 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 Lonkey Industrial will offset losses from the drop in Lonkey Industrial's long position.Xizi Clean vs. Jinhe Biotechnology Co | Xizi Clean vs. Shandong Sanyuan Biotechnology | Xizi Clean vs. Shengda Mining Co | Xizi Clean vs. Western Mining Co |
Lonkey Industrial vs. Sichuan Fulin Transportation | Lonkey Industrial vs. Anhui Huaren Health | Lonkey Industrial vs. Hunan TV Broadcast | Lonkey Industrial vs. Everjoy Health 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 Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
Other Complementary Tools
Commodity Directory Find actively traded commodities issued by global exchanges | |
Premium Stories Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope | |
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
Risk-Return Analysis View associations between returns expected from investment and the risk you assume | |
Volatility Analysis Get historical volatility and risk analysis based on latest market data |