Correlation Between Geely Automobile and MSAD INSURANCE
Can any of the company-specific risk be diversified away by investing in both Geely Automobile and MSAD INSURANCE 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 Geely Automobile and MSAD INSURANCE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Geely Automobile Holdings and MSAD INSURANCE, you can compare the effects of market volatilities on Geely Automobile and MSAD INSURANCE 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 Geely Automobile with a short position of MSAD INSURANCE. Check out your portfolio center. Please also check ongoing floating volatility patterns of Geely Automobile and MSAD INSURANCE.
Diversification Opportunities for Geely Automobile and MSAD INSURANCE
0.49 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Geely and MSAD is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding Geely Automobile Holdings and MSAD INSURANCE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MSAD INSURANCE and Geely Automobile 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 Geely Automobile Holdings are associated (or correlated) with MSAD INSURANCE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MSAD INSURANCE has no effect on the direction of Geely Automobile i.e., Geely Automobile and MSAD INSURANCE go up and down completely randomly.
Pair Corralation between Geely Automobile and MSAD INSURANCE
Assuming the 90 days horizon Geely Automobile Holdings is expected to generate 3.24 times more return on investment than MSAD INSURANCE. However, Geely Automobile is 3.24 times more volatile than MSAD INSURANCE. It trades about 0.23 of its potential returns per unit of risk. MSAD INSURANCE is currently generating about 0.09 per unit of risk. If you would invest 104.00 in Geely Automobile Holdings on September 17, 2024 and sell it today you would earn a total of 82.00 from holding Geely Automobile Holdings or generate 78.85% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Geely Automobile Holdings vs. MSAD INSURANCE
Performance |
Timeline |
Geely Automobile Holdings |
MSAD INSURANCE |
Geely Automobile and MSAD INSURANCE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Geely Automobile and MSAD INSURANCE
The main advantage of trading using opposite Geely Automobile and MSAD INSURANCE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Geely Automobile position performs unexpectedly, MSAD INSURANCE 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 MSAD INSURANCE will offset losses from the drop in MSAD INSURANCE's long position.Geely Automobile vs. BYD Company Limited | Geely Automobile vs. MERCEDES BENZ GRP ADR14 | Geely Automobile vs. Superior Plus Corp | Geely Automobile vs. SIVERS SEMICONDUCTORS AB |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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