Correlation Between GM and Dug Technology
Can any of the company-specific risk be diversified away by investing in both GM and Dug Technology 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 GM and Dug Technology into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Dug Technology, you can compare the effects of market volatilities on GM and Dug Technology 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 GM with a short position of Dug Technology. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Dug Technology.
Diversification Opportunities for GM and Dug Technology
-0.72 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between GM and Dug is -0.72. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Dug Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dug Technology and GM 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 General Motors are associated (or correlated) with Dug Technology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dug Technology has no effect on the direction of GM i.e., GM and Dug Technology go up and down completely randomly.
Pair Corralation between GM and Dug Technology
Allowing for the 90-day total investment horizon General Motors is expected to generate 0.69 times more return on investment than Dug Technology. However, General Motors is 1.46 times less risky than Dug Technology. It trades about 0.12 of its potential returns per unit of risk. Dug Technology is currently generating about -0.1 per unit of risk. If you would invest 5,197 in General Motors on August 31, 2024 and sell it today you would earn a total of 362.00 from holding General Motors or generate 6.97% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
General Motors vs. Dug Technology
Performance |
Timeline |
General Motors |
Dug Technology |
GM and Dug Technology Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Dug Technology
The main advantage of trading using opposite GM and Dug Technology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Dug Technology 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 Dug Technology will offset losses from the drop in Dug Technology's long position.The idea behind General Motors and Dug Technology pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Dug Technology vs. Amani Gold | Dug Technology vs. A1 Investments Resources | Dug Technology vs. Coronado Global Resources | Dug Technology vs. Hutchison Telecommunications |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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