Correlation Between Miwon Chemicals and Choil Aluminum
Can any of the company-specific risk be diversified away by investing in both Miwon Chemicals and Choil Aluminum 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 Miwon Chemicals and Choil Aluminum into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Miwon Chemicals Co and Choil Aluminum, you can compare the effects of market volatilities on Miwon Chemicals and Choil Aluminum 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 Miwon Chemicals with a short position of Choil Aluminum. Check out your portfolio center. Please also check ongoing floating volatility patterns of Miwon Chemicals and Choil Aluminum.
Diversification Opportunities for Miwon Chemicals and Choil Aluminum
0.32 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Miwon and Choil is 0.32. Overlapping area represents the amount of risk that can be diversified away by holding Miwon Chemicals Co and Choil Aluminum in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Choil Aluminum and Miwon Chemicals 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 Miwon Chemicals Co are associated (or correlated) with Choil Aluminum. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Choil Aluminum has no effect on the direction of Miwon Chemicals i.e., Miwon Chemicals and Choil Aluminum go up and down completely randomly.
Pair Corralation between Miwon Chemicals and Choil Aluminum
Assuming the 90 days trading horizon Miwon Chemicals Co is expected to generate 0.26 times more return on investment than Choil Aluminum. However, Miwon Chemicals Co is 3.84 times less risky than Choil Aluminum. It trades about -0.13 of its potential returns per unit of risk. Choil Aluminum is currently generating about -0.16 per unit of risk. If you would invest 7,990,000 in Miwon Chemicals Co on August 24, 2024 and sell it today you would lose (150,000) from holding Miwon Chemicals Co or give up 1.88% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Miwon Chemicals Co vs. Choil Aluminum
Performance |
| Timeline |
| Miwon Chemicals |
| Choil Aluminum |
Miwon Chemicals and Choil Aluminum Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Miwon Chemicals and Choil Aluminum
The main advantage of trading using opposite Miwon Chemicals and Choil Aluminum positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Miwon Chemicals position performs unexpectedly, Choil Aluminum 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 Choil Aluminum will offset losses from the drop in Choil Aluminum's long position.| Miwon Chemicals vs. AptaBio Therapeutics | Miwon Chemicals vs. Daewoo SBI SPAC | Miwon Chemicals vs. Dream Security co | Miwon Chemicals vs. Microfriend |
| Choil Aluminum vs. Busan Industrial Co | Choil Aluminum vs. Busan Ind | Choil Aluminum vs. Mirae Asset Daewoo | Choil Aluminum vs. UNISEM 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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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