Correlation Between Youngbo Chemical and Lotte Fine
Can any of the company-specific risk be diversified away by investing in both Youngbo Chemical and Lotte Fine 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 Youngbo Chemical and Lotte Fine into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Youngbo Chemical Co and Lotte Fine Chemical, you can compare the effects of market volatilities on Youngbo Chemical and Lotte Fine 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 Youngbo Chemical with a short position of Lotte Fine. Check out your portfolio center. Please also check ongoing floating volatility patterns of Youngbo Chemical and Lotte Fine.
Diversification Opportunities for Youngbo Chemical and Lotte Fine
-0.45 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Youngbo and Lotte is -0.45. Overlapping area represents the amount of risk that can be diversified away by holding Youngbo Chemical Co and Lotte Fine Chemical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lotte Fine Chemical and Youngbo Chemical 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 Youngbo Chemical Co are associated (or correlated) with Lotte Fine. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lotte Fine Chemical has no effect on the direction of Youngbo Chemical i.e., Youngbo Chemical and Lotte Fine go up and down completely randomly.
Pair Corralation between Youngbo Chemical and Lotte Fine
Assuming the 90 days trading horizon Youngbo Chemical is expected to generate 2.77 times less return on investment than Lotte Fine. But when comparing it to its historical volatility, Youngbo Chemical Co is 1.95 times less risky than Lotte Fine. It trades about 0.1 of its potential returns per unit of risk. Lotte Fine Chemical is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 3,600,000 in Lotte Fine Chemical on September 29, 2024 and sell it today you would earn a total of 315,000 from holding Lotte Fine Chemical or generate 8.75% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Youngbo Chemical Co vs. Lotte Fine Chemical
Performance |
Timeline |
Youngbo Chemical |
Lotte Fine Chemical |
Youngbo Chemical and Lotte Fine Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Youngbo Chemical and Lotte Fine
The main advantage of trading using opposite Youngbo Chemical and Lotte Fine positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Youngbo Chemical position performs unexpectedly, Lotte Fine 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 Lotte Fine will offset losses from the drop in Lotte Fine's long position.Youngbo Chemical vs. Homecast CoLtd | Youngbo Chemical vs. Pureun Mutual Savings | Youngbo Chemical vs. Golden Bridge Investment | Youngbo Chemical vs. Nh Investment And |
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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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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