Correlation Between China Times and Strong H
Can any of the company-specific risk be diversified away by investing in both China Times and Strong H 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 Strong H 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 Strong H Machinery, you can compare the effects of market volatilities on China Times and Strong H 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 Strong H. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Times and Strong H.
Diversification Opportunities for China Times and Strong H
-0.08 | Correlation Coefficient |
Good diversification
The 3 months correlation between China and Strong is -0.08. Overlapping area represents the amount of risk that can be diversified away by holding China Times Publishing and Strong H Machinery in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Strong H Machinery 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 Strong H. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Strong H Machinery has no effect on the direction of China Times i.e., China Times and Strong H go up and down completely randomly.
Pair Corralation between China Times and Strong H
Assuming the 90 days trading horizon China Times is expected to generate 1.01 times less return on investment than Strong H. In addition to that, China Times is 4.07 times more volatile than Strong H Machinery. It trades about 0.04 of its total potential returns per unit of risk. Strong H Machinery is currently generating about 0.18 per unit of volatility. If you would invest 3,205 in Strong H Machinery on September 13, 2024 and sell it today you would earn a total of 410.00 from holding Strong H Machinery or generate 12.79% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
China Times Publishing vs. Strong H Machinery
Performance |
| Timeline |
| China Times Publishing |
| Strong H Machinery |
China Times and Strong H Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with China Times and Strong H
The main advantage of trading using opposite China Times and Strong H positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Times position performs unexpectedly, Strong H 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 Strong H will offset losses from the drop in Strong H's long position.| China Times vs. YuantaP shares Taiwan Top | China Times vs. YuantaP shares Taiwan Electronics | China Times vs. Fubon MSCI Taiwan | China Times vs. YuantaP shares Taiwan Mid Cap |
| Strong H vs. Hiwin Mikrosystem Corp | Strong H vs. Ruentex Development Co | Strong H vs. Symtek Automation Asia | Strong H vs. WiseChip Semiconductor |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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