Correlation Between GM and Dev Information
Can any of the company-specific risk be diversified away by investing in both GM and Dev Information 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 Dev Information into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Dev Information Technology, you can compare the effects of market volatilities on GM and Dev Information 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 Dev Information. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Dev Information.
Diversification Opportunities for GM and Dev Information
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between GM and Dev is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Dev Information Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dev Information Tech 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 Dev Information. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dev Information Tech has no effect on the direction of GM i.e., GM and Dev Information go up and down completely randomly.
Pair Corralation between GM and Dev Information
Allowing for the 90-day total investment horizon General Motors is expected to generate 0.63 times more return on investment than Dev Information. However, General Motors is 1.59 times less risky than Dev Information. It trades about -0.07 of its potential returns per unit of risk. Dev Information Technology is currently generating about -0.14 per unit of risk. If you would invest 5,492 in General Motors on December 1, 2024 and sell it today you would lose (579.00) from holding General Motors or give up 10.54% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 96.77% |
Values | Daily Returns |
General Motors vs. Dev Information Technology
Performance |
Timeline |
General Motors |
Dev Information Tech |
GM and Dev Information Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Dev Information
The main advantage of trading using opposite GM and Dev Information positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Dev Information 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 Dev Information will offset losses from the drop in Dev Information's long position.The idea behind General Motors and Dev Information 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.Dev Information vs. Jindal Poly Investment | Dev Information vs. Associated Alcohols Breweries | Dev Information vs. FCS Software Solutions | Dev Information vs. United Breweries Limited |
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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