Correlation Between GS Retail and Lotte Data
Can any of the company-specific risk be diversified away by investing in both GS Retail and Lotte Data 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 GS Retail and Lotte Data into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GS Retail Co and Lotte Data Communication, you can compare the effects of market volatilities on GS Retail and Lotte Data 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 GS Retail with a short position of Lotte Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of GS Retail and Lotte Data.
Diversification Opportunities for GS Retail and Lotte Data
0.47 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between 007070 and Lotte is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding GS Retail Co and Lotte Data Communication in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lotte Data Communication and GS Retail 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 GS Retail Co are associated (or correlated) with Lotte Data. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lotte Data Communication has no effect on the direction of GS Retail i.e., GS Retail and Lotte Data go up and down completely randomly.
Pair Corralation between GS Retail and Lotte Data
Assuming the 90 days trading horizon GS Retail Co is expected to generate 1.12 times more return on investment than Lotte Data. However, GS Retail is 1.12 times more volatile than Lotte Data Communication. It trades about -0.08 of its potential returns per unit of risk. Lotte Data Communication is currently generating about -0.13 per unit of risk. If you would invest 1,931,887 in GS Retail Co on October 7, 2024 and sell it today you would lose (214,887) from holding GS Retail Co or give up 11.12% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 72.58% |
Values | Daily Returns |
GS Retail Co vs. Lotte Data Communication
Performance |
Timeline |
GS Retail |
Lotte Data Communication |
GS Retail and Lotte Data Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GS Retail and Lotte Data
The main advantage of trading using opposite GS Retail and Lotte Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GS Retail position performs unexpectedly, Lotte Data 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 Lotte Data will offset losses from the drop in Lotte Data's long position.GS Retail vs. Wonbang Tech Co | GS Retail vs. Daiyang Metal Co | GS Retail vs. Solution Advanced Technology | GS Retail 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 Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
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