Correlation Between Kukdo Chemical and Samsung Fire
Can any of the company-specific risk be diversified away by investing in both Kukdo 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 Kukdo 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 Kukdo Chemical Co and Samsung Fire Marine, you can compare the effects of market volatilities on Kukdo 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 Kukdo Chemical with a short position of Samsung Fire. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kukdo Chemical and Samsung Fire.
Diversification Opportunities for Kukdo Chemical and Samsung Fire
0.59 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Kukdo and Samsung is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding Kukdo 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 Kukdo 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 Kukdo 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 Kukdo Chemical i.e., Kukdo Chemical and Samsung Fire go up and down completely randomly.
Pair Corralation between Kukdo Chemical and Samsung Fire
Assuming the 90 days trading horizon Kukdo Chemical is expected to generate 1.78 times less return on investment than Samsung Fire. But when comparing it to its historical volatility, Kukdo Chemical Co is 1.49 times less risky than Samsung Fire. It trades about 0.04 of its potential returns per unit of risk. Samsung Fire Marine is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 37,000,000 in Samsung Fire Marine on December 24, 2024 and sell it today you would earn a total of 2,050,000 from holding Samsung Fire Marine or generate 5.54% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Kukdo Chemical Co vs. Samsung Fire Marine
Performance |
Timeline |
Kukdo Chemical |
Samsung Fire Marine |
Kukdo Chemical and Samsung Fire Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kukdo Chemical and Samsung Fire
The main advantage of trading using opposite Kukdo Chemical and Samsung Fire positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kukdo 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.Kukdo Chemical vs. Eugene Investment Securities | Kukdo Chemical vs. Miwon Chemicals Co | Kukdo Chemical vs. Atinum Investment Co | Kukdo Chemical vs. Kukdong Oil Chemicals |
Samsung Fire vs. Pan Entertainment Co | Samsung Fire vs. Nasmedia Co | Samsung Fire vs. Taegu Broadcasting | Samsung Fire vs. Daewon Media 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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