Correlation Between Konan Technology and Visang Education
Can any of the company-specific risk be diversified away by investing in both Konan Technology and Visang Education 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 Konan Technology and Visang Education into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Konan Technology and Visang Education, you can compare the effects of market volatilities on Konan Technology and Visang Education 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 Konan Technology with a short position of Visang Education. Check out your portfolio center. Please also check ongoing floating volatility patterns of Konan Technology and Visang Education.
Diversification Opportunities for Konan Technology and Visang Education
0.36 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Konan and Visang is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding Konan Technology and Visang Education in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Visang Education and Konan 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 Konan Technology are associated (or correlated) with Visang Education. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Visang Education has no effect on the direction of Konan Technology i.e., Konan Technology and Visang Education go up and down completely randomly.
Pair Corralation between Konan Technology and Visang Education
Assuming the 90 days trading horizon Konan Technology is expected to generate 0.93 times more return on investment than Visang Education. However, Konan Technology is 1.07 times less risky than Visang Education. It trades about 0.22 of its potential returns per unit of risk. Visang Education is currently generating about 0.02 per unit of risk. If you would invest 1,314,000 in Konan Technology on September 6, 2024 and sell it today you would earn a total of 956,000 from holding Konan Technology or generate 72.75% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Konan Technology vs. Visang Education
Performance |
Timeline |
Konan Technology |
Visang Education |
Konan Technology and Visang Education Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Konan Technology and Visang Education
The main advantage of trading using opposite Konan Technology and Visang Education positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Konan Technology position performs unexpectedly, Visang Education 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 Visang Education will offset losses from the drop in Visang Education's long position.Konan Technology vs. Kakao Games Corp | Konan Technology vs. Posco ICT | Konan Technology vs. Nice Information Telecommunication | Konan Technology vs. SKONEC Entertainment Co |
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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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