Correlation Between Symtek Automation and Kung Long
Can any of the company-specific risk be diversified away by investing in both Symtek Automation and Kung Long 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 Symtek Automation and Kung Long into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Symtek Automation Asia and Kung Long Batteries, you can compare the effects of market volatilities on Symtek Automation and Kung Long 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 Symtek Automation with a short position of Kung Long. Check out your portfolio center. Please also check ongoing floating volatility patterns of Symtek Automation and Kung Long.
Diversification Opportunities for Symtek Automation and Kung Long
0.28 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Symtek and Kung is 0.28. Overlapping area represents the amount of risk that can be diversified away by holding Symtek Automation Asia and Kung Long Batteries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kung Long Batteries and Symtek Automation 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 Symtek Automation Asia are associated (or correlated) with Kung Long. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kung Long Batteries has no effect on the direction of Symtek Automation i.e., Symtek Automation and Kung Long go up and down completely randomly.
Pair Corralation between Symtek Automation and Kung Long
Assuming the 90 days trading horizon Symtek Automation Asia is expected to generate 2.28 times more return on investment than Kung Long. However, Symtek Automation is 2.28 times more volatile than Kung Long Batteries. It trades about 0.17 of its potential returns per unit of risk. Kung Long Batteries is currently generating about 0.05 per unit of risk. If you would invest 11,100 in Symtek Automation Asia on September 3, 2024 and sell it today you would earn a total of 10,100 from holding Symtek Automation Asia or generate 90.99% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Symtek Automation Asia vs. Kung Long Batteries
Performance |
| Timeline |
| Symtek Automation Asia |
| Kung Long Batteries |
Symtek Automation and Kung Long Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Symtek Automation and Kung Long
The main advantage of trading using opposite Symtek Automation and Kung Long positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Symtek Automation position performs unexpectedly, Kung Long 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 Kung Long will offset losses from the drop in Kung Long's long position.| Symtek Automation vs. Foxsemicon Integrated Technology | Symtek Automation vs. United Integrated Services | Symtek Automation vs. Ennostar | Symtek Automation vs. All Ring Tech |
| Kung Long vs. Universal Microelectronics Co | Kung Long vs. AVerMedia Technologies | Kung Long vs. Symtek Automation Asia | Kung Long 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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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