Correlation Between TIMES CHINA and LANDSEA HOMES
Can any of the company-specific risk be diversified away by investing in both TIMES CHINA and LANDSEA HOMES 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 TIMES CHINA and LANDSEA HOMES into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between TIMES CHINA HLDGS and LANDSEA HOMES P, you can compare the effects of market volatilities on TIMES CHINA and LANDSEA HOMES 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 TIMES CHINA with a short position of LANDSEA HOMES. Check out your portfolio center. Please also check ongoing floating volatility patterns of TIMES CHINA and LANDSEA HOMES.
Diversification Opportunities for TIMES CHINA and LANDSEA HOMES
-0.31 | Correlation Coefficient |
Very good diversification
The 3 months correlation between TIMES and LANDSEA is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding TIMES CHINA HLDGS and LANDSEA HOMES P in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LANDSEA HOMES P and TIMES CHINA 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 TIMES CHINA HLDGS are associated (or correlated) with LANDSEA HOMES. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LANDSEA HOMES P has no effect on the direction of TIMES CHINA i.e., TIMES CHINA and LANDSEA HOMES go up and down completely randomly.
Pair Corralation between TIMES CHINA and LANDSEA HOMES
Assuming the 90 days horizon TIMES CHINA HLDGS is expected to generate 6.21 times more return on investment than LANDSEA HOMES. However, TIMES CHINA is 6.21 times more volatile than LANDSEA HOMES P. It trades about 0.19 of its potential returns per unit of risk. LANDSEA HOMES P is currently generating about -0.16 per unit of risk. If you would invest 0.95 in TIMES CHINA HLDGS on September 23, 2024 and sell it today you would earn a total of 2.65 from holding TIMES CHINA HLDGS or generate 278.95% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
TIMES CHINA HLDGS vs. LANDSEA HOMES P
Performance |
Timeline |
TIMES CHINA HLDGS |
LANDSEA HOMES P |
TIMES CHINA and LANDSEA HOMES Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with TIMES CHINA and LANDSEA HOMES
The main advantage of trading using opposite TIMES CHINA and LANDSEA HOMES positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if TIMES CHINA position performs unexpectedly, LANDSEA HOMES 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 LANDSEA HOMES will offset losses from the drop in LANDSEA HOMES's long position.TIMES CHINA vs. Deutsche Wohnen SE | TIMES CHINA vs. Gateway Real Estate | TIMES CHINA vs. Gateway Real Estate | TIMES CHINA vs. LANDSEA HOMES P |
LANDSEA HOMES vs. Deutsche Wohnen SE | LANDSEA HOMES vs. Gateway Real Estate | LANDSEA HOMES vs. Gateway Real Estate | LANDSEA HOMES vs. TIMES CHINA HLDGS |
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 Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..
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