Correlation Between Youngbo Chemical and Wonbang Tech
Can any of the company-specific risk be diversified away by investing in both Youngbo Chemical and Wonbang Tech 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 Wonbang Tech 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 Wonbang Tech Co, you can compare the effects of market volatilities on Youngbo Chemical and Wonbang Tech 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 Wonbang Tech. Check out your portfolio center. Please also check ongoing floating volatility patterns of Youngbo Chemical and Wonbang Tech.
Diversification Opportunities for Youngbo Chemical and Wonbang Tech
-0.46 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Youngbo and Wonbang is -0.46. Overlapping area represents the amount of risk that can be diversified away by holding Youngbo Chemical Co and Wonbang Tech Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wonbang Tech 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 Wonbang Tech. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wonbang Tech has no effect on the direction of Youngbo Chemical i.e., Youngbo Chemical and Wonbang Tech go up and down completely randomly.
Pair Corralation between Youngbo Chemical and Wonbang Tech
Assuming the 90 days trading horizon Youngbo Chemical Co is expected to generate 0.28 times more return on investment than Wonbang Tech. However, Youngbo Chemical Co is 3.56 times less risky than Wonbang Tech. It trades about 0.06 of its potential returns per unit of risk. Wonbang Tech Co is currently generating about -0.01 per unit of risk. If you would invest 345,605 in Youngbo Chemical Co on October 22, 2024 and sell it today you would earn a total of 27,395 from holding Youngbo Chemical Co or generate 7.93% 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. Wonbang Tech Co
Performance |
Timeline |
Youngbo Chemical |
Wonbang Tech |
Youngbo Chemical and Wonbang Tech Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Youngbo Chemical and Wonbang Tech
The main advantage of trading using opposite Youngbo Chemical and Wonbang Tech positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Youngbo Chemical position performs unexpectedly, Wonbang Tech 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 Wonbang Tech will offset losses from the drop in Wonbang Tech's long position.Youngbo Chemical vs. Korea Information Communications | Youngbo Chemical vs. Korea Investment Holdings | Youngbo Chemical vs. DB Financial Investment | Youngbo Chemical vs. Daol Investment Securities |
Wonbang Tech vs. Namhae Chemical | Wonbang Tech vs. Tae Kyung Chemical | Wonbang Tech vs. Foodnamoo | Wonbang Tech vs. Youngchang Chemical 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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