Correlation Between Daejung Chemicals and GS Retail
Can any of the company-specific risk be diversified away by investing in both Daejung Chemicals and GS Retail 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 Daejung Chemicals and GS Retail into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Daejung Chemicals Metals and GS Retail Co, you can compare the effects of market volatilities on Daejung Chemicals and GS Retail 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 Daejung Chemicals with a short position of GS Retail. Check out your portfolio center. Please also check ongoing floating volatility patterns of Daejung Chemicals and GS Retail.
Diversification Opportunities for Daejung Chemicals and GS Retail
0.04 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Daejung and 007070 is 0.04. Overlapping area represents the amount of risk that can be diversified away by holding Daejung Chemicals Metals and GS Retail Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GS Retail and Daejung Chemicals 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 Daejung Chemicals Metals are associated (or correlated) with GS Retail. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GS Retail has no effect on the direction of Daejung Chemicals i.e., Daejung Chemicals and GS Retail go up and down completely randomly.
Pair Corralation between Daejung Chemicals and GS Retail
Assuming the 90 days trading horizon Daejung Chemicals Metals is expected to under-perform the GS Retail. But the stock apears to be less risky and, when comparing its historical volatility, Daejung Chemicals Metals is 1.35 times less risky than GS Retail. The stock trades about -0.29 of its potential returns per unit of risk. The GS Retail Co is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 2,070,000 in GS Retail Co on September 4, 2024 and sell it today you would earn a total of 245,000 from holding GS Retail Co or generate 11.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 92.86% |
Values | Daily Returns |
Daejung Chemicals Metals vs. GS Retail Co
Performance |
Timeline |
Daejung Chemicals Metals |
GS Retail |
Daejung Chemicals and GS Retail Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Daejung Chemicals and GS Retail
The main advantage of trading using opposite Daejung Chemicals and GS Retail positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Daejung Chemicals position performs unexpectedly, GS Retail 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 GS Retail will offset losses from the drop in GS Retail's long position.Daejung Chemicals vs. Korea Information Communications | Daejung Chemicals vs. TS Investment Corp | Daejung Chemicals vs. Daelim Trading Co | Daejung Chemicals vs. Jeju Semiconductor Corp |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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