Correlation Between GungHo Online and Tsingtao Brewery
Can any of the company-specific risk be diversified away by investing in both GungHo Online and Tsingtao Brewery 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 GungHo Online and Tsingtao Brewery into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GungHo Online Entertainment and Tsingtao Brewery, you can compare the effects of market volatilities on GungHo Online and Tsingtao Brewery 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 GungHo Online with a short position of Tsingtao Brewery. Check out your portfolio center. Please also check ongoing floating volatility patterns of GungHo Online and Tsingtao Brewery.
Diversification Opportunities for GungHo Online and Tsingtao Brewery
0.36 | Correlation Coefficient |
Weak diversification
The 3 months correlation between GungHo and Tsingtao is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding GungHo Online Entertainment and Tsingtao Brewery in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tsingtao Brewery and GungHo Online 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 GungHo Online Entertainment are associated (or correlated) with Tsingtao Brewery. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tsingtao Brewery has no effect on the direction of GungHo Online i.e., GungHo Online and Tsingtao Brewery go up and down completely randomly.
Pair Corralation between GungHo Online and Tsingtao Brewery
Assuming the 90 days horizon GungHo Online is expected to generate 2.33 times less return on investment than Tsingtao Brewery. But when comparing it to its historical volatility, GungHo Online Entertainment is 1.46 times less risky than Tsingtao Brewery. It trades about 0.04 of its potential returns per unit of risk. Tsingtao Brewery is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 498.00 in Tsingtao Brewery on November 2, 2024 and sell it today you would earn a total of 81.00 from holding Tsingtao Brewery or generate 16.27% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
GungHo Online Entertainment vs. Tsingtao Brewery
Performance |
| Timeline |
| GungHo Online Entert |
| Tsingtao Brewery |
GungHo Online and Tsingtao Brewery Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with GungHo Online and Tsingtao Brewery
The main advantage of trading using opposite GungHo Online and Tsingtao Brewery positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GungHo Online position performs unexpectedly, Tsingtao Brewery 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 Tsingtao Brewery will offset losses from the drop in Tsingtao Brewery's long position.| GungHo Online vs. Xiwang Special Steel | GungHo Online vs. PACIFIC ONLINE | GungHo Online vs. Insteel Industries | GungHo Online vs. CarsalesCom |
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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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