Correlation Between Hansol Chemica and DoubleU Games
Can any of the company-specific risk be diversified away by investing in both Hansol Chemica and DoubleU Games 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 Hansol Chemica and DoubleU Games into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hansol Chemica and DoubleU Games Co, you can compare the effects of market volatilities on Hansol Chemica and DoubleU Games 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 Hansol Chemica with a short position of DoubleU Games. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hansol Chemica and DoubleU Games.
Diversification Opportunities for Hansol Chemica and DoubleU Games
-0.34 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Hansol and DoubleU is -0.34. Overlapping area represents the amount of risk that can be diversified away by holding Hansol Chemica and DoubleU Games Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DoubleU Games and Hansol Chemica 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 Hansol Chemica are associated (or correlated) with DoubleU Games. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DoubleU Games has no effect on the direction of Hansol Chemica i.e., Hansol Chemica and DoubleU Games go up and down completely randomly.
Pair Corralation between Hansol Chemica and DoubleU Games
Assuming the 90 days trading horizon Hansol Chemica is expected to under-perform the DoubleU Games. In addition to that, Hansol Chemica is 1.72 times more volatile than DoubleU Games Co. It trades about -0.14 of its total potential returns per unit of risk. DoubleU Games Co is currently generating about 0.03 per unit of volatility. If you would invest 5,160,000 in DoubleU Games Co on October 6, 2024 and sell it today you would earn a total of 70,000 from holding DoubleU Games Co or generate 1.36% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 97.62% |
Values | Daily Returns |
Hansol Chemica vs. DoubleU Games Co
Performance |
Timeline |
Hansol Chemica |
DoubleU Games |
Hansol Chemica and DoubleU Games Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hansol Chemica and DoubleU Games
The main advantage of trading using opposite Hansol Chemica and DoubleU Games positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hansol Chemica position performs unexpectedly, DoubleU Games 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 DoubleU Games will offset losses from the drop in DoubleU Games' long position.Hansol Chemica vs. LG Chemicals | Hansol Chemica vs. POSCO Holdings | Hansol Chemica vs. Hanwha Solutions | Hansol Chemica vs. Lotte Chemical Corp |
DoubleU Games vs. Netmarble Games Corp | DoubleU Games vs. Busan Industrial Co | DoubleU Games vs. Busan Ind | DoubleU Games vs. Shinhan WTI Futures |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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