Correlation Between Daesung Eltec and Solution Advanced
Can any of the company-specific risk be diversified away by investing in both Daesung Eltec and Solution Advanced 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 Eltec and Solution Advanced into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Daesung Eltec Co and Solution Advanced Technology, you can compare the effects of market volatilities on Daesung Eltec and Solution Advanced 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 Eltec with a short position of Solution Advanced. Check out your portfolio center. Please also check ongoing floating volatility patterns of Daesung Eltec and Solution Advanced.
Diversification Opportunities for Daesung Eltec and Solution Advanced
0.59 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Daesung and Solution is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding Daesung Eltec Co and Solution Advanced Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Solution Advanced and Daesung Eltec 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 Eltec Co are associated (or correlated) with Solution Advanced. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Solution Advanced has no effect on the direction of Daesung Eltec i.e., Daesung Eltec and Solution Advanced go up and down completely randomly.
Pair Corralation between Daesung Eltec and Solution Advanced
Assuming the 90 days trading horizon Daesung Eltec Co is expected to under-perform the Solution Advanced. In addition to that, Daesung Eltec is 1.39 times more volatile than Solution Advanced Technology. It trades about -0.15 of its total potential returns per unit of risk. Solution Advanced Technology is currently generating about -0.12 per unit of volatility. If you would invest 162,000 in Solution Advanced Technology on October 8, 2024 and sell it today you would lose (30,500) from holding Solution Advanced Technology or give up 18.83% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 78.69% |
Values | Daily Returns |
Daesung Eltec Co vs. Solution Advanced Technology
Performance |
Timeline |
Daesung Eltec |
Solution Advanced |
Daesung Eltec and Solution Advanced Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Daesung Eltec and Solution Advanced
The main advantage of trading using opposite Daesung Eltec and Solution Advanced positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Daesung Eltec position performs unexpectedly, Solution Advanced 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 Solution Advanced will offset losses from the drop in Solution Advanced's long position.Daesung Eltec vs. Stic Investments | Daesung Eltec vs. Sangsangin Investment Securities | Daesung Eltec vs. Haitai Confectionery Foods | Daesung Eltec vs. NH Investment Securities |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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