Correlation Between GS Retail and Coloray International
Can any of the company-specific risk be diversified away by investing in both GS Retail and Coloray International 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 Coloray International 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 Coloray International Investment, you can compare the effects of market volatilities on GS Retail and Coloray International 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 Coloray International. Check out your portfolio center. Please also check ongoing floating volatility patterns of GS Retail and Coloray International.
Diversification Opportunities for GS Retail and Coloray International
-0.14 | Correlation Coefficient |
Good diversification
The 3 months correlation between 007070 and Coloray is -0.14. Overlapping area represents the amount of risk that can be diversified away by holding GS Retail Co and Coloray International Investme in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Coloray International 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 Coloray International. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Coloray International has no effect on the direction of GS Retail i.e., GS Retail and Coloray International go up and down completely randomly.
Pair Corralation between GS Retail and Coloray International
Assuming the 90 days trading horizon GS Retail Co is expected to generate 0.57 times more return on investment than Coloray International. However, GS Retail Co is 1.74 times less risky than Coloray International. It trades about 0.05 of its potential returns per unit of risk. Coloray International Investment is currently generating about -0.04 per unit of risk. If you would invest 2,210,000 in GS Retail Co on September 3, 2024 and sell it today you would earn a total of 105,000 from holding GS Retail Co or generate 4.75% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 96.61% |
Values | Daily Returns |
GS Retail Co vs. Coloray International Investme
Performance |
Timeline |
GS Retail |
Coloray International |
GS Retail and Coloray International Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GS Retail and Coloray International
The main advantage of trading using opposite GS Retail and Coloray International positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GS Retail position performs unexpectedly, Coloray International 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 Coloray International will offset losses from the drop in Coloray International's long position.GS Retail vs. CU Medical Systems | GS Retail vs. Daejung Chemicals Metals | GS Retail vs. Alton Sports CoLtd | GS Retail vs. Hannong Chemicals |
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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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