Correlation Between Dimension Computer and GrandTech
Can any of the company-specific risk be diversified away by investing in both Dimension Computer and GrandTech 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 Dimension Computer and GrandTech into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dimension Computer Technology and GrandTech CG Systems, you can compare the effects of market volatilities on Dimension Computer and GrandTech 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 Dimension Computer with a short position of GrandTech. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dimension Computer and GrandTech.
Diversification Opportunities for Dimension Computer and GrandTech
0.36 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Dimension and GrandTech is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding Dimension Computer Technology and GrandTech CG Systems in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GrandTech CG Systems and Dimension Computer 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 Dimension Computer Technology are associated (or correlated) with GrandTech. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GrandTech CG Systems has no effect on the direction of Dimension Computer i.e., Dimension Computer and GrandTech go up and down completely randomly.
Pair Corralation between Dimension Computer and GrandTech
Assuming the 90 days trading horizon Dimension Computer Technology is expected to generate 3.3 times more return on investment than GrandTech. However, Dimension Computer is 3.3 times more volatile than GrandTech CG Systems. It trades about -0.02 of its potential returns per unit of risk. GrandTech CG Systems is currently generating about -0.16 per unit of risk. If you would invest 2,485 in Dimension Computer Technology on October 10, 2024 and sell it today you would lose (140.00) from holding Dimension Computer Technology or give up 5.63% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Dimension Computer Technology vs. GrandTech CG Systems
Performance |
Timeline |
Dimension Computer |
GrandTech CG Systems |
Dimension Computer and GrandTech Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dimension Computer and GrandTech
The main advantage of trading using opposite Dimension Computer and GrandTech positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dimension Computer position performs unexpectedly, GrandTech 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 GrandTech will offset losses from the drop in GrandTech's long position.Dimension Computer vs. GrandTech CG Systems | Dimension Computer vs. Answer Technology Co | Dimension Computer vs. Xander International | Dimension Computer vs. MetaTech AP |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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