Correlation Between Alstria Office and Thai Beverage
Can any of the company-specific risk be diversified away by investing in both Alstria Office and Thai Beverage 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 Alstria Office and Thai Beverage into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between alstria office REIT AG and Thai Beverage Public, you can compare the effects of market volatilities on Alstria Office and Thai Beverage 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 Alstria Office with a short position of Thai Beverage. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alstria Office and Thai Beverage.
Diversification Opportunities for Alstria Office and Thai Beverage
0.21 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Alstria and Thai is 0.21. Overlapping area represents the amount of risk that can be diversified away by holding alstria office REIT AG and Thai Beverage Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Thai Beverage Public and Alstria Office 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 alstria office REIT AG are associated (or correlated) with Thai Beverage. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Thai Beverage Public has no effect on the direction of Alstria Office i.e., Alstria Office and Thai Beverage go up and down completely randomly.
Pair Corralation between Alstria Office and Thai Beverage
Assuming the 90 days horizon Alstria Office is expected to generate 1.61 times less return on investment than Thai Beverage. But when comparing it to its historical volatility, alstria office REIT AG is 1.55 times less risky than Thai Beverage. It trades about 0.07 of its potential returns per unit of risk. Thai Beverage Public is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 21.00 in Thai Beverage Public on October 9, 2024 and sell it today you would earn a total of 19.00 from holding Thai Beverage Public or generate 90.48% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
alstria office REIT AG vs. Thai Beverage Public
Performance |
Timeline |
alstria office REIT |
Thai Beverage Public |
Alstria Office and Thai Beverage Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Alstria Office and Thai Beverage
The main advantage of trading using opposite Alstria Office and Thai Beverage positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alstria Office position performs unexpectedly, Thai Beverage 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 Thai Beverage will offset losses from the drop in Thai Beverage's long position.Alstria Office vs. American Public Education | Alstria Office vs. Adtalem Global Education | Alstria Office vs. International Consolidated Airlines | Alstria Office vs. IDP EDUCATION LTD |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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