Correlation Between GS Retail and Naver
Can any of the company-specific risk be diversified away by investing in both GS Retail and Naver 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 Naver 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 Naver, you can compare the effects of market volatilities on GS Retail and Naver 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 Naver. Check out your portfolio center. Please also check ongoing floating volatility patterns of GS Retail and Naver.
Diversification Opportunities for GS Retail and Naver
Very good diversification
The 3 months correlation between 007070 and Naver is -0.34. Overlapping area represents the amount of risk that can be diversified away by holding GS Retail Co and Naver in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Naver 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 Naver. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Naver has no effect on the direction of GS Retail i.e., GS Retail and Naver go up and down completely randomly.
Pair Corralation between GS Retail and Naver
Assuming the 90 days trading horizon GS Retail Co is expected to under-perform the Naver. In addition to that, GS Retail is 1.22 times more volatile than Naver. It trades about -0.46 of its total potential returns per unit of risk. Naver is currently generating about 0.07 per unit of volatility. If you would invest 20,100,000 in Naver on October 22, 2024 and sell it today you would earn a total of 400,000 from holding Naver or generate 1.99% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 94.74% |
Values | Daily Returns |
GS Retail Co vs. Naver
Performance |
Timeline |
GS Retail |
Naver |
GS Retail and Naver Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GS Retail and Naver
The main advantage of trading using opposite GS Retail and Naver positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GS Retail position performs unexpectedly, Naver 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 Naver will offset losses from the drop in Naver's long position.GS Retail vs. Iljin Display | GS Retail vs. Dongil Metal Co | GS Retail vs. Lotte Chilsung Beverage | GS Retail vs. Myoung Shin Industrial |
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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
Other Complementary Tools
Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios | |
Global Markets Map Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes | |
Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios |