Correlation Between China Times and Galaxy Software
Can any of the company-specific risk be diversified away by investing in both China Times and Galaxy Software 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 China Times and Galaxy Software into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between China Times Publishing and Galaxy Software Services, you can compare the effects of market volatilities on China Times and Galaxy Software 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 China Times with a short position of Galaxy Software. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Times and Galaxy Software.
Diversification Opportunities for China Times and Galaxy Software
0.39 | Correlation Coefficient |
Weak diversification
The 3 months correlation between China and Galaxy is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding China Times Publishing and Galaxy Software Services in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Galaxy Software Services and China Times 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 China Times Publishing are associated (or correlated) with Galaxy Software. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Galaxy Software Services has no effect on the direction of China Times i.e., China Times and Galaxy Software go up and down completely randomly.
Pair Corralation between China Times and Galaxy Software
Assuming the 90 days trading horizon China Times Publishing is expected to generate 1.44 times more return on investment than Galaxy Software. However, China Times is 1.44 times more volatile than Galaxy Software Services. It trades about 0.02 of its potential returns per unit of risk. Galaxy Software Services is currently generating about 0.02 per unit of risk. If you would invest 1,905 in China Times Publishing on October 1, 2024 and sell it today you would earn a total of 20.00 from holding China Times Publishing or generate 1.05% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
China Times Publishing vs. Galaxy Software Services
Performance |
Timeline |
China Times Publishing |
Galaxy Software Services |
China Times and Galaxy Software Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with China Times and Galaxy Software
The main advantage of trading using opposite China Times and Galaxy Software positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Times position performs unexpectedly, Galaxy Software 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 Galaxy Software will offset losses from the drop in Galaxy Software's long position.China Times vs. Kuo Yang Construction | China Times vs. Wei Chuan Foods | China Times vs. Kao Fong Machinery | China Times vs. Hunya Foods Co |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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