Correlation Between Youngchang Chemical and Samsung Fire
Can any of the company-specific risk be diversified away by investing in both Youngchang Chemical and Samsung Fire 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 Youngchang Chemical and Samsung Fire into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Youngchang Chemical Co and Samsung Fire Marine, you can compare the effects of market volatilities on Youngchang Chemical and Samsung Fire 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 Youngchang Chemical with a short position of Samsung Fire. Check out your portfolio center. Please also check ongoing floating volatility patterns of Youngchang Chemical and Samsung Fire.
Diversification Opportunities for Youngchang Chemical and Samsung Fire
0.51 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Youngchang and Samsung is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding Youngchang Chemical Co and Samsung Fire Marine in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samsung Fire Marine and Youngchang 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 Youngchang Chemical Co are associated (or correlated) with Samsung Fire. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Samsung Fire Marine has no effect on the direction of Youngchang Chemical i.e., Youngchang Chemical and Samsung Fire go up and down completely randomly.
Pair Corralation between Youngchang Chemical and Samsung Fire
Assuming the 90 days trading horizon Youngchang Chemical Co is expected to generate 2.43 times more return on investment than Samsung Fire. However, Youngchang Chemical is 2.43 times more volatile than Samsung Fire Marine. It trades about 0.15 of its potential returns per unit of risk. Samsung Fire Marine is currently generating about 0.05 per unit of risk. If you would invest 1,308,000 in Youngchang Chemical Co on December 26, 2024 and sell it today you would earn a total of 777,000 from holding Youngchang Chemical Co or generate 59.4% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.28% |
Values | Daily Returns |
Youngchang Chemical Co vs. Samsung Fire Marine
Performance |
Timeline |
Youngchang Chemical |
Samsung Fire Marine |
Youngchang Chemical and Samsung Fire Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Youngchang Chemical and Samsung Fire
The main advantage of trading using opposite Youngchang Chemical and Samsung Fire positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Youngchang Chemical position performs unexpectedly, Samsung Fire 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 Samsung Fire will offset losses from the drop in Samsung Fire's long position.Youngchang Chemical vs. GS Retail Co | Youngchang Chemical vs. Jeju Beer Co | Youngchang Chemical vs. Clean Science co | Youngchang Chemical vs. Ewon Comfortech Co |
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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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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