Correlation Between Pum Tech and Seung Il
Can any of the company-specific risk be diversified away by investing in both Pum Tech and Seung Il 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 Pum Tech and Seung Il into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pum Tech Korea Co and Seung Il, you can compare the effects of market volatilities on Pum Tech and Seung Il 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 Pum Tech with a short position of Seung Il. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pum Tech and Seung Il.
Diversification Opportunities for Pum Tech and Seung Il
Very weak diversification
The 3 months correlation between Pum and Seung is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding Pum Tech Korea Co and Seung Il in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Seung Il and Pum 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 Pum Tech Korea Co are associated (or correlated) with Seung Il. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Seung Il has no effect on the direction of Pum Tech i.e., Pum Tech and Seung Il go up and down completely randomly.
Pair Corralation between Pum Tech and Seung Il
Assuming the 90 days trading horizon Pum Tech Korea Co is expected to generate 0.88 times more return on investment than Seung Il. However, Pum Tech Korea Co is 1.13 times less risky than Seung Il. It trades about 0.34 of its potential returns per unit of risk. Seung Il is currently generating about 0.08 per unit of risk. If you would invest 3,345,000 in Pum Tech Korea Co on September 26, 2024 and sell it today you would earn a total of 820,000 from holding Pum Tech Korea Co or generate 24.51% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Pum Tech Korea Co vs. Seung Il
Performance |
Timeline |
Pum Tech Korea |
Seung Il |
Pum Tech and Seung Il Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pum Tech and Seung Il
The main advantage of trading using opposite Pum Tech and Seung Il positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pum Tech position performs unexpectedly, Seung Il 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 Seung Il will offset losses from the drop in Seung Il's long position.The idea behind Pum Tech Korea Co and Seung Il pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Seung Il vs. Pum Tech Korea Co | Seung Il vs. Hankukpackage Co | Seung Il vs. Naver | Seung Il vs. Gyeongnam Steel Co |
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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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