Correlation Between Dorman Products and GM
Can any of the company-specific risk be diversified away by investing in both Dorman Products and GM 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 Dorman Products and GM into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dorman Products and General Motors, you can compare the effects of market volatilities on Dorman Products and GM 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 Dorman Products with a short position of GM. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dorman Products and GM.
Diversification Opportunities for Dorman Products and GM
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Dorman and GM is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding Dorman Products and General Motors in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on General Motors and Dorman Products 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 Dorman Products are associated (or correlated) with GM. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of General Motors has no effect on the direction of Dorman Products i.e., Dorman Products and GM go up and down completely randomly.
Pair Corralation between Dorman Products and GM
Given the investment horizon of 90 days Dorman Products is expected to generate 1.1 times more return on investment than GM. However, Dorman Products is 1.1 times more volatile than General Motors. It trades about 0.29 of its potential returns per unit of risk. General Motors is currently generating about 0.13 per unit of risk. If you would invest 11,563 in Dorman Products on August 30, 2024 and sell it today you would earn a total of 2,417 from holding Dorman Products or generate 20.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Dorman Products vs. General Motors
Performance |
Timeline |
Dorman Products |
General Motors |
Dorman Products and GM Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dorman Products and GM
The main advantage of trading using opposite Dorman Products and GM positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dorman Products position performs unexpectedly, GM 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 GM will offset losses from the drop in GM's long position.Dorman Products vs. Ford Motor | Dorman Products vs. General Motors | Dorman Products vs. Goodyear Tire Rubber | Dorman Products vs. Li Auto |
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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
Other Complementary Tools
Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity | |
Equity Search Search for actively traded equities including funds and ETFs from over 30 global markets | |
Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
Fundamental Analysis View fundamental data based on most recent published financial statements |