Correlation Between Catcher Technology and Tacheng Real
Can any of the company-specific risk be diversified away by investing in both Catcher Technology and Tacheng Real 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 Catcher Technology and Tacheng Real into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Catcher Technology Co and Tacheng Real Estate, you can compare the effects of market volatilities on Catcher Technology and Tacheng Real 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 Catcher Technology with a short position of Tacheng Real. Check out your portfolio center. Please also check ongoing floating volatility patterns of Catcher Technology and Tacheng Real.
Diversification Opportunities for Catcher Technology and Tacheng Real
-0.85 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Catcher and Tacheng is -0.85. Overlapping area represents the amount of risk that can be diversified away by holding Catcher Technology Co and Tacheng Real Estate in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tacheng Real Estate and Catcher Technology 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 Catcher Technology Co are associated (or correlated) with Tacheng Real. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tacheng Real Estate has no effect on the direction of Catcher Technology i.e., Catcher Technology and Tacheng Real go up and down completely randomly.
Pair Corralation between Catcher Technology and Tacheng Real
Assuming the 90 days trading horizon Catcher Technology Co is expected to under-perform the Tacheng Real. In addition to that, Catcher Technology is 1.06 times more volatile than Tacheng Real Estate. It trades about -0.15 of its total potential returns per unit of risk. Tacheng Real Estate is currently generating about 0.07 per unit of volatility. If you would invest 3,825 in Tacheng Real Estate on October 4, 2024 and sell it today you would earn a total of 250.00 from holding Tacheng Real Estate or generate 6.54% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 98.44% |
Values | Daily Returns |
Catcher Technology Co vs. Tacheng Real Estate
Performance |
Timeline |
Catcher Technology |
Tacheng Real Estate |
Catcher Technology and Tacheng Real Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Catcher Technology and Tacheng Real
The main advantage of trading using opposite Catcher Technology and Tacheng Real positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Catcher Technology position performs unexpectedly, Tacheng Real 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 Tacheng Real will offset losses from the drop in Tacheng Real's long position.Catcher Technology vs. Charoen Pokphand Enterprise | Catcher Technology vs. Taiwan Secom Co | Catcher Technology vs. Ruentex Development Co | Catcher Technology vs. Symtek Automation Asia |
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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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