Correlation Between Symbotic and China Teletech
Can any of the company-specific risk be diversified away by investing in both Symbotic and China Teletech 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 Symbotic and China Teletech into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Symbotic and China Teletech Holding, you can compare the effects of market volatilities on Symbotic and China Teletech 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 Symbotic with a short position of China Teletech. Check out your portfolio center. Please also check ongoing floating volatility patterns of Symbotic and China Teletech.
Diversification Opportunities for Symbotic and China Teletech
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Symbotic and China is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Symbotic and China Teletech Holding in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China Teletech Holding and Symbotic 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 Symbotic are associated (or correlated) with China Teletech. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China Teletech Holding has no effect on the direction of Symbotic i.e., Symbotic and China Teletech go up and down completely randomly.
Pair Corralation between Symbotic and China Teletech
Considering the 90-day investment horizon Symbotic is expected to generate 67.93 times less return on investment than China Teletech. But when comparing it to its historical volatility, Symbotic is 9.48 times less risky than China Teletech. It trades about 0.01 of its potential returns per unit of risk. China Teletech Holding is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 0.20 in China Teletech Holding on September 4, 2024 and sell it today you would lose (0.11) from holding China Teletech Holding or give up 55.0% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 99.73% |
| Values | Daily Returns |
Symbotic vs. China Teletech Holding
Performance |
| Timeline |
| Symbotic |
| China Teletech Holding |
Symbotic and China Teletech Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Symbotic and China Teletech
The main advantage of trading using opposite Symbotic and China Teletech positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Symbotic position performs unexpectedly, China Teletech 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 China Teletech will offset losses from the drop in China Teletech's long position.| Symbotic vs. Shapeways Holdings, Common | Symbotic vs. JE Cleantech Holdings | Symbotic vs. Laser Photonics | Symbotic vs. Siemens AG Class |
| China Teletech vs. Manaris Corp | China Teletech vs. Green Planet Bio | China Teletech vs. Continental Beverage Brands | China Teletech vs. Opus Magnum Ameris |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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