Correlation Between Wonil Special and Miwon Chemical
Can any of the company-specific risk be diversified away by investing in both Wonil Special and Miwon Chemical 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 Wonil Special and Miwon Chemical into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Wonil Special Steel and Miwon Chemical, you can compare the effects of market volatilities on Wonil Special and Miwon Chemical 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 Wonil Special with a short position of Miwon Chemical. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wonil Special and Miwon Chemical.
Diversification Opportunities for Wonil Special and Miwon Chemical
0.33 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Wonil and Miwon is 0.33. Overlapping area represents the amount of risk that can be diversified away by holding Wonil Special Steel and Miwon Chemical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Miwon Chemical and Wonil Special 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 Wonil Special Steel are associated (or correlated) with Miwon Chemical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Miwon Chemical has no effect on the direction of Wonil Special i.e., Wonil Special and Miwon Chemical go up and down completely randomly.
Pair Corralation between Wonil Special and Miwon Chemical
Assuming the 90 days trading horizon Wonil Special Steel is expected to generate 1.75 times more return on investment than Miwon Chemical. However, Wonil Special is 1.75 times more volatile than Miwon Chemical. It trades about 0.02 of its potential returns per unit of risk. Miwon Chemical is currently generating about -0.01 per unit of risk. If you would invest 716,000 in Wonil Special Steel on September 17, 2024 and sell it today you would earn a total of 9,000 from holding Wonil Special Steel or generate 1.26% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Wonil Special Steel vs. Miwon Chemical
Performance |
Timeline |
Wonil Special Steel |
Miwon Chemical |
Wonil Special and Miwon Chemical Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Wonil Special and Miwon Chemical
The main advantage of trading using opposite Wonil Special and Miwon Chemical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wonil Special position performs unexpectedly, Miwon Chemical 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 Chemical will offset losses from the drop in Miwon Chemical's long position.Wonil Special vs. LG Chemicals | Wonil Special vs. POSCO Holdings | Wonil Special vs. Hanwha Solutions | Wonil Special vs. Lotte Chemical Corp |
Miwon Chemical vs. LG Chem | Miwon Chemical vs. Chunbo Co | Miwon Chemical vs. DukSan Neolux CoLtd | Miwon Chemical vs. LIG ES SPAC |
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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