Correlation Between Samyung Trading and Busan Ind
Can any of the company-specific risk be diversified away by investing in both Samyung Trading and Busan Ind 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 Samyung Trading and Busan Ind into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Samyung Trading Co and Busan Ind, you can compare the effects of market volatilities on Samyung Trading and Busan Ind 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 Samyung Trading with a short position of Busan Ind. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samyung Trading and Busan Ind.
Diversification Opportunities for Samyung Trading and Busan Ind
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Samyung and Busan is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding Samyung Trading Co and Busan Ind in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Busan Ind and Samyung Trading 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 Samyung Trading Co are associated (or correlated) with Busan Ind. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Busan Ind has no effect on the direction of Samyung Trading i.e., Samyung Trading and Busan Ind go up and down completely randomly.
Pair Corralation between Samyung Trading and Busan Ind
Assuming the 90 days trading horizon Samyung Trading is expected to generate 272.62 times less return on investment than Busan Ind. But when comparing it to its historical volatility, Samyung Trading Co is 8.87 times less risky than Busan Ind. It trades about 0.0 of its potential returns per unit of risk. Busan Ind is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 6,080,000 in Busan Ind on September 12, 2024 and sell it today you would earn a total of 1,140,000 from holding Busan Ind or generate 18.75% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Samyung Trading Co vs. Busan Ind
Performance |
| Timeline |
| Samyung Trading |
| Busan Ind |
Samyung Trading and Busan Ind Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Samyung Trading and Busan Ind
The main advantage of trading using opposite Samyung Trading and Busan Ind positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samyung Trading position performs unexpectedly, Busan Ind 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 Busan Ind will offset losses from the drop in Busan Ind's long position.| Samyung Trading vs. Samsung Electronics Co | Samyung Trading vs. Samsung Electronics Co | Samyung Trading vs. SK Hynix | Samyung Trading vs. POSCO Holdings |
| Busan Ind vs. Settlebank | Busan Ind vs. Jeju Bank | Busan Ind vs. Daejoo Electronic Materials | Busan Ind vs. InfoBank |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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