Correlation Between PH Tech and Cots Technology
Can any of the company-specific risk be diversified away by investing in both PH Tech and Cots Technology 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 PH Tech and Cots Technology into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PH Tech Co and Cots Technology Co, you can compare the effects of market volatilities on PH Tech and Cots Technology 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 PH Tech with a short position of Cots Technology. Check out your portfolio center. Please also check ongoing floating volatility patterns of PH Tech and Cots Technology.
Diversification Opportunities for PH Tech and Cots Technology
-0.11 | Correlation Coefficient |
Good diversification
The 3 months correlation between 239890 and Cots is -0.11. Overlapping area represents the amount of risk that can be diversified away by holding PH Tech Co and Cots Technology Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cots Technology and PH Tech 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 PH Tech Co are associated (or correlated) with Cots Technology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cots Technology has no effect on the direction of PH Tech i.e., PH Tech and Cots Technology go up and down completely randomly.
Pair Corralation between PH Tech and Cots Technology
Assuming the 90 days trading horizon PH Tech is expected to generate 56.84 times less return on investment than Cots Technology. But when comparing it to its historical volatility, PH Tech Co is 1.08 times less risky than Cots Technology. It trades about 0.01 of its potential returns per unit of risk. Cots Technology Co is currently generating about 0.46 of returns per unit of risk over similar time horizon. If you would invest 1,459,000 in Cots Technology Co on November 28, 2024 and sell it today you would earn a total of 407,000 from holding Cots Technology Co or generate 27.9% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
PH Tech Co vs. Cots Technology Co
Performance |
| Timeline |
| PH Tech |
| Cots Technology |
PH Tech and Cots Technology Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with PH Tech and Cots Technology
The main advantage of trading using opposite PH Tech and Cots Technology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PH Tech position performs unexpectedly, Cots Technology 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 Cots Technology will offset losses from the drop in Cots Technology's long position.| PH Tech vs. Korea Information Communications | PH Tech vs. Kyeryong Construction Industrial | PH Tech vs. Sempio Foods Co | PH Tech vs. PJ Metal Co |
| Cots Technology vs. Hwangkum Steel Technology | Cots Technology vs. Mobileleader CoLtd | Cots Technology vs. iNtRON Biotechnology | Cots Technology vs. Daishin Information Communications |
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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