Correlation Between Guangdong Investment and Great Elm
Can any of the company-specific risk be diversified away by investing in both Guangdong Investment and Great Elm 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 Guangdong Investment and Great Elm into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Guangdong Investment Limited and Great Elm Capital, you can compare the effects of market volatilities on Guangdong Investment and Great Elm 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 Guangdong Investment with a short position of Great Elm. Check out your portfolio center. Please also check ongoing floating volatility patterns of Guangdong Investment and Great Elm.
Diversification Opportunities for Guangdong Investment and Great Elm
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between Guangdong and Great is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding Guangdong Investment Limited and Great Elm Capital in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Great Elm Capital and Guangdong Investment 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 Guangdong Investment Limited are associated (or correlated) with Great Elm. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Great Elm Capital has no effect on the direction of Guangdong Investment i.e., Guangdong Investment and Great Elm go up and down completely randomly.
Pair Corralation between Guangdong Investment and Great Elm
Assuming the 90 days horizon Guangdong Investment Limited is expected to generate 16.67 times more return on investment than Great Elm. However, Guangdong Investment is 16.67 times more volatile than Great Elm Capital. It trades about 0.13 of its potential returns per unit of risk. Great Elm Capital is currently generating about 0.09 per unit of risk. If you would invest 58.00 in Guangdong Investment Limited on September 14, 2024 and sell it today you would earn a total of 25.00 from holding Guangdong Investment Limited or generate 43.1% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 90.48% |
Values | Daily Returns |
Guangdong Investment Limited vs. Great Elm Capital
Performance |
Timeline |
Guangdong Investment |
Great Elm Capital |
Guangdong Investment and Great Elm Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Guangdong Investment and Great Elm
The main advantage of trading using opposite Guangdong Investment and Great Elm positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Guangdong Investment position performs unexpectedly, Great Elm 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 Great Elm will offset losses from the drop in Great Elm's long position.Guangdong Investment vs. Artesian Resources | Guangdong Investment vs. Global Water Resources | Guangdong Investment vs. Essential Utilities | Guangdong Investment vs. American Water Works |
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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 Valuation module to check real value of public entities based on technical and fundamental data.
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