Correlation Between DAIRY FARM and Geely Automobile
Can any of the company-specific risk be diversified away by investing in both DAIRY FARM and Geely Automobile 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 DAIRY FARM and Geely Automobile into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between DAIRY FARM INTL and Geely Automobile Holdings, you can compare the effects of market volatilities on DAIRY FARM and Geely Automobile 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 DAIRY FARM with a short position of Geely Automobile. Check out your portfolio center. Please also check ongoing floating volatility patterns of DAIRY FARM and Geely Automobile.
Diversification Opportunities for DAIRY FARM and Geely Automobile
-0.49 | Correlation Coefficient |
Very good diversification
The 3 months correlation between DAIRY and Geely is -0.49. Overlapping area represents the amount of risk that can be diversified away by holding DAIRY FARM INTL and Geely Automobile Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Geely Automobile Holdings and DAIRY FARM 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 DAIRY FARM INTL are associated (or correlated) with Geely Automobile. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Geely Automobile Holdings has no effect on the direction of DAIRY FARM i.e., DAIRY FARM and Geely Automobile go up and down completely randomly.
Pair Corralation between DAIRY FARM and Geely Automobile
Assuming the 90 days trading horizon DAIRY FARM INTL is expected to under-perform the Geely Automobile. But the stock apears to be less risky and, when comparing its historical volatility, DAIRY FARM INTL is 2.05 times less risky than Geely Automobile. The stock trades about -0.12 of its potential returns per unit of risk. The Geely Automobile Holdings is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 167.00 in Geely Automobile Holdings on November 29, 2024 and sell it today you would earn a total of 52.00 from holding Geely Automobile Holdings or generate 31.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
DAIRY FARM INTL vs. Geely Automobile Holdings
Performance |
Timeline |
DAIRY FARM INTL |
Geely Automobile Holdings |
DAIRY FARM and Geely Automobile Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with DAIRY FARM and Geely Automobile
The main advantage of trading using opposite DAIRY FARM and Geely Automobile positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DAIRY FARM position performs unexpectedly, Geely Automobile 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 Geely Automobile will offset losses from the drop in Geely Automobile's long position.DAIRY FARM vs. National Health Investors | DAIRY FARM vs. betterU Education Corp | DAIRY FARM vs. Xinhua Winshare Publishing | DAIRY FARM vs. Cardinal Health |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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