Correlation Between Lumia and CHINA CONCH
Can any of the company-specific risk be diversified away by investing in both Lumia and CHINA CONCH at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Lumia and CHINA CONCH into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lumia and CHINA CH VENT, you can compare the effects of market volatilities on Lumia and CHINA CONCH 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 Lumia with a short position of CHINA CONCH. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lumia and CHINA CONCH.
Diversification Opportunities for Lumia and CHINA CONCH
-0.03 | Correlation Coefficient |
Good diversification
The 3 months correlation between Lumia and CHINA is -0.03. Overlapping area represents the amount of risk that can be diversified away by holding Lumia and CHINA CH VENT in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CHINA CH VENT and Lumia 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 Lumia are associated (or correlated) with CHINA CONCH. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CHINA CH VENT has no effect on the direction of Lumia i.e., Lumia and CHINA CONCH go up and down completely randomly.
Pair Corralation between Lumia and CHINA CONCH
Assuming the 90 days trading horizon Lumia is expected to generate 10.23 times more return on investment than CHINA CONCH. However, Lumia is 10.23 times more volatile than CHINA CH VENT. It trades about 0.04 of its potential returns per unit of risk. CHINA CH VENT is currently generating about 0.01 per unit of risk. If you would invest 0.00 in Lumia on October 11, 2024 and sell it today you would earn a total of 120.00 from holding Lumia or generate 9.223372036854776E16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 97.66% |
Values | Daily Returns |
Lumia vs. CHINA CH VENT
Performance |
Timeline |
Lumia |
CHINA CH VENT |
Lumia and CHINA CONCH Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lumia and CHINA CONCH
The main advantage of trading using opposite Lumia and CHINA CONCH positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lumia position performs unexpectedly, CHINA CONCH 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 CHINA CONCH will offset losses from the drop in CHINA CONCH's long position.The idea behind Lumia and CHINA CH VENT 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.CHINA CONCH vs. Japan Asia Investment | CHINA CONCH vs. Corporate Office Properties | CHINA CONCH vs. 24SEVENOFFICE GROUP AB | CHINA CONCH vs. ALLFUNDS GROUP EO 0025 |
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.
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