Correlation Between Daesung Hi and SHINWON STRUCTION
Can any of the company-specific risk be diversified away by investing in both Daesung Hi and SHINWON STRUCTION 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 Daesung Hi and SHINWON STRUCTION into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Daesung Hi Tech Co and SHINWON STRUCTION COMPANY, you can compare the effects of market volatilities on Daesung Hi and SHINWON STRUCTION 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 Daesung Hi with a short position of SHINWON STRUCTION. Check out your portfolio center. Please also check ongoing floating volatility patterns of Daesung Hi and SHINWON STRUCTION.
Diversification Opportunities for Daesung Hi and SHINWON STRUCTION
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Daesung and SHINWON is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding Daesung Hi Tech Co and SHINWON STRUCTION COMPANY in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SHINWON STRUCTION PANY and Daesung Hi 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 Daesung Hi Tech Co are associated (or correlated) with SHINWON STRUCTION. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SHINWON STRUCTION PANY has no effect on the direction of Daesung Hi i.e., Daesung Hi and SHINWON STRUCTION go up and down completely randomly.
Pair Corralation between Daesung Hi and SHINWON STRUCTION
Assuming the 90 days trading horizon Daesung Hi Tech Co is expected to generate 0.26 times more return on investment than SHINWON STRUCTION. However, Daesung Hi Tech Co is 3.9 times less risky than SHINWON STRUCTION. It trades about -0.26 of its potential returns per unit of risk. SHINWON STRUCTION COMPANY is currently generating about -0.09 per unit of risk. If you would invest 403,000 in Daesung Hi Tech Co on September 1, 2024 and sell it today you would lose (34,500) from holding Daesung Hi Tech Co or give up 8.56% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 95.65% |
| Values | Daily Returns |
Daesung Hi Tech Co vs. SHINWON STRUCTION COMPANY
Performance |
| Timeline |
| Daesung Hi Tech |
| SHINWON STRUCTION PANY |
Daesung Hi and SHINWON STRUCTION Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Daesung Hi and SHINWON STRUCTION
The main advantage of trading using opposite Daesung Hi and SHINWON STRUCTION positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Daesung Hi position performs unexpectedly, SHINWON STRUCTION 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 SHINWON STRUCTION will offset losses from the drop in SHINWON STRUCTION's long position.| Daesung Hi vs. Samsung Electronics Co | Daesung Hi vs. Samsung Electronics Co | Daesung Hi vs. LG Energy Solution | Daesung Hi vs. SK Hynix |
| SHINWON STRUCTION vs. Daesung Hi Tech Co | SHINWON STRUCTION vs. Nable Communications | SHINWON STRUCTION vs. LG Household Healthcare | SHINWON STRUCTION vs. Nice Information Telecommunication |
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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