Correlation Between Tsingtao Brewery and State Street
Can any of the company-specific risk be diversified away by investing in both Tsingtao Brewery and State Street 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 Tsingtao Brewery and State Street into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tsingtao Brewery and State Street, you can compare the effects of market volatilities on Tsingtao Brewery and State Street 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 Tsingtao Brewery with a short position of State Street. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tsingtao Brewery and State Street.
Diversification Opportunities for Tsingtao Brewery and State Street
-0.48 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Tsingtao and State is -0.48. Overlapping area represents the amount of risk that can be diversified away by holding Tsingtao Brewery and State Street in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on State Street and Tsingtao Brewery 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 Tsingtao Brewery are associated (or correlated) with State Street. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of State Street has no effect on the direction of Tsingtao Brewery i.e., Tsingtao Brewery and State Street go up and down completely randomly.
Pair Corralation between Tsingtao Brewery and State Street
Assuming the 90 days trading horizon Tsingtao Brewery is expected to generate 1.21 times more return on investment than State Street. However, Tsingtao Brewery is 1.21 times more volatile than State Street. It trades about 0.3 of its potential returns per unit of risk. State Street is currently generating about 0.11 per unit of risk. If you would invest 606.00 in Tsingtao Brewery on October 9, 2024 and sell it today you would earn a total of 53.00 from holding Tsingtao Brewery or generate 8.75% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Tsingtao Brewery vs. State Street
Performance |
Timeline |
Tsingtao Brewery |
State Street |
Tsingtao Brewery and State Street Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Tsingtao Brewery and State Street
The main advantage of trading using opposite Tsingtao Brewery and State Street positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tsingtao Brewery position performs unexpectedly, State Street 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 State Street will offset losses from the drop in State Street's long position.Tsingtao Brewery vs. X FAB Silicon Foundries | Tsingtao Brewery vs. MACOM Technology Solutions | Tsingtao Brewery vs. NATIONAL HEALTHCARE | Tsingtao Brewery vs. PKSHA TECHNOLOGY INC |
State Street vs. Ares Management Corp | State Street vs. Superior Plus Corp | State Street vs. NMI Holdings | State Street vs. SIVERS SEMICONDUCTORS AB |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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