Correlation Between Daesung Industrial and SK Holdings
Can any of the company-specific risk be diversified away by investing in both Daesung Industrial and SK Holdings 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 Industrial and SK Holdings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Daesung Industrial Co and SK Holdings Co, you can compare the effects of market volatilities on Daesung Industrial and SK Holdings 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 Industrial with a short position of SK Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of Daesung Industrial and SK Holdings.
Diversification Opportunities for Daesung Industrial and SK Holdings
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Daesung and 034730 is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Daesung Industrial Co and SK Holdings Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SK Holdings and Daesung Industrial 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 Industrial Co are associated (or correlated) with SK Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SK Holdings has no effect on the direction of Daesung Industrial i.e., Daesung Industrial and SK Holdings go up and down completely randomly.
Pair Corralation between Daesung Industrial and SK Holdings
Assuming the 90 days trading horizon Daesung Industrial Co is expected to generate 1.48 times more return on investment than SK Holdings. However, Daesung Industrial is 1.48 times more volatile than SK Holdings Co. It trades about 0.04 of its potential returns per unit of risk. SK Holdings Co is currently generating about 0.05 per unit of risk. If you would invest 324,000 in Daesung Industrial Co on October 6, 2024 and sell it today you would earn a total of 5,500 from holding Daesung Industrial Co or generate 1.7% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Daesung Industrial Co vs. SK Holdings Co
Performance |
Timeline |
Daesung Industrial |
SK Holdings |
Daesung Industrial and SK Holdings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Daesung Industrial and SK Holdings
The main advantage of trading using opposite Daesung Industrial and SK Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Daesung Industrial position performs unexpectedly, SK Holdings 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 SK Holdings will offset losses from the drop in SK Holdings' long position.Daesung Industrial vs. Wonbang Tech Co | Daesung Industrial vs. Daiyang Metal Co | Daesung Industrial vs. Solution Advanced Technology | Daesung Industrial vs. Busan Industrial Co |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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