Correlation Between GM and DAEMO Engineering
Can any of the company-specific risk be diversified away by investing in both GM and DAEMO Engineering 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 DAEMO Engineering into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and DAEMO Engineering Co, you can compare the effects of market volatilities on GM and DAEMO Engineering 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 DAEMO Engineering. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and DAEMO Engineering.
Diversification Opportunities for GM and DAEMO Engineering
0.51 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between GM and DAEMO is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and DAEMO Engineering Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DAEMO Engineering 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 DAEMO Engineering. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DAEMO Engineering has no effect on the direction of GM i.e., GM and DAEMO Engineering go up and down completely randomly.
Pair Corralation between GM and DAEMO Engineering
Allowing for the 90-day total investment horizon General Motors is expected to generate 0.55 times more return on investment than DAEMO Engineering. However, General Motors is 1.83 times less risky than DAEMO Engineering. It trades about 0.11 of its potential returns per unit of risk. DAEMO Engineering Co is currently generating about 0.02 per unit of risk. If you would invest 3,331 in General Motors on September 4, 2024 and sell it today you would earn a total of 2,035 from holding General Motors or generate 61.09% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 96.76% |
Values | Daily Returns |
General Motors vs. DAEMO Engineering Co
Performance |
Timeline |
General Motors |
DAEMO Engineering |
GM and DAEMO Engineering Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and DAEMO Engineering
The main advantage of trading using opposite GM and DAEMO Engineering positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, DAEMO Engineering 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 DAEMO Engineering will offset losses from the drop in DAEMO Engineering's long position.The idea behind General Motors and DAEMO Engineering Co 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.DAEMO Engineering vs. DataSolution | DAEMO Engineering vs. SCI Information Service | DAEMO Engineering vs. Nice Information Telecommunication | DAEMO Engineering vs. TS Investment Corp |
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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
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