Correlation Between Samlip General and Youl Chon
Can any of the company-specific risk be diversified away by investing in both Samlip General and Youl Chon 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 Samlip General and Youl Chon into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Samlip General Foods and Youl Chon Chemical, you can compare the effects of market volatilities on Samlip General and Youl Chon 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 Samlip General with a short position of Youl Chon. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samlip General and Youl Chon.
Diversification Opportunities for Samlip General and Youl Chon
-0.34 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Samlip and Youl is -0.34. Overlapping area represents the amount of risk that can be diversified away by holding Samlip General Foods and Youl Chon Chemical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Youl Chon Chemical and Samlip General 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 Samlip General Foods are associated (or correlated) with Youl Chon. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Youl Chon Chemical has no effect on the direction of Samlip General i.e., Samlip General and Youl Chon go up and down completely randomly.
Pair Corralation between Samlip General and Youl Chon
Assuming the 90 days trading horizon Samlip General Foods is expected to generate 0.43 times more return on investment than Youl Chon. However, Samlip General Foods is 2.34 times less risky than Youl Chon. It trades about -0.07 of its potential returns per unit of risk. Youl Chon Chemical is currently generating about -0.05 per unit of risk. If you would invest 5,770,000 in Samlip General Foods on September 3, 2024 and sell it today you would lose (1,060,000) from holding Samlip General Foods or give up 18.37% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Samlip General Foods vs. Youl Chon Chemical
Performance |
| Timeline |
| Samlip General Foods |
| Youl Chon Chemical |
Samlip General and Youl Chon Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Samlip General and Youl Chon
The main advantage of trading using opposite Samlip General and Youl Chon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samlip General position performs unexpectedly, Youl Chon 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 Youl Chon will offset losses from the drop in Youl Chon's long position.| Samlip General vs. Pan Entertainment Co | Samlip General vs. Barunson Entertainment Arts | Samlip General vs. Finebesteel | Samlip General vs. Kaonmedia Co |
| Youl Chon vs. Daiyang Metal Co | Youl Chon vs. Namhwa Industrial Co | Youl Chon vs. KMH Hitech Co | Youl Chon vs. Asiana Airlines |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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