Correlation Between Semyung Electric and Miwon Chemicals
Can any of the company-specific risk be diversified away by investing in both Semyung Electric and Miwon Chemicals 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 Semyung Electric and Miwon Chemicals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Semyung Electric Machinery and Miwon Chemicals Co, you can compare the effects of market volatilities on Semyung Electric and Miwon Chemicals 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 Semyung Electric with a short position of Miwon Chemicals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Semyung Electric and Miwon Chemicals.
Diversification Opportunities for Semyung Electric and Miwon Chemicals
0.4 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Semyung and Miwon is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding Semyung Electric Machinery and Miwon Chemicals Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Miwon Chemicals and Semyung Electric 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 Semyung Electric Machinery are associated (or correlated) with Miwon Chemicals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Miwon Chemicals has no effect on the direction of Semyung Electric i.e., Semyung Electric and Miwon Chemicals go up and down completely randomly.
Pair Corralation between Semyung Electric and Miwon Chemicals
Assuming the 90 days trading horizon Semyung Electric Machinery is expected to generate 3.3 times more return on investment than Miwon Chemicals. However, Semyung Electric is 3.3 times more volatile than Miwon Chemicals Co. It trades about 0.17 of its potential returns per unit of risk. Miwon Chemicals Co is currently generating about 0.13 per unit of risk. If you would invest 423,485 in Semyung Electric Machinery on October 5, 2024 and sell it today you would earn a total of 54,515 from holding Semyung Electric Machinery or generate 12.87% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Semyung Electric Machinery vs. Miwon Chemicals Co
Performance |
Timeline |
Semyung Electric Mac |
Miwon Chemicals |
Semyung Electric and Miwon Chemicals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Semyung Electric and Miwon Chemicals
The main advantage of trading using opposite Semyung Electric and Miwon Chemicals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Semyung Electric position performs unexpectedly, Miwon Chemicals 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 Miwon Chemicals will offset losses from the drop in Miwon Chemicals' long position.Semyung Electric vs. Seoyon Topmetal Co | Semyung Electric vs. Daejung Chemicals Metals | Semyung Electric vs. Worldex Industry Trading | Semyung Electric vs. Kbi Metal 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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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