Correlation Between GM and Driehaus Small
Can any of the company-specific risk be diversified away by investing in both GM and Driehaus Small 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 Driehaus Small into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Driehaus Small Cap, you can compare the effects of market volatilities on GM and Driehaus Small 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 Driehaus Small. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Driehaus Small.
Diversification Opportunities for GM and Driehaus Small
0.49 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between GM and Driehaus is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Driehaus Small Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Driehaus Small Cap 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 Driehaus Small. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Driehaus Small Cap has no effect on the direction of GM i.e., GM and Driehaus Small go up and down completely randomly.
Pair Corralation between GM and Driehaus Small
Allowing for the 90-day total investment horizon General Motors is expected to generate 1.39 times more return on investment than Driehaus Small. However, GM is 1.39 times more volatile than Driehaus Small Cap. It trades about -0.03 of its potential returns per unit of risk. Driehaus Small Cap is currently generating about -0.12 per unit of risk. If you would invest 5,414 in General Motors on December 27, 2024 and sell it today you would lose (319.00) from holding General Motors or give up 5.89% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
General Motors vs. Driehaus Small Cap
Performance |
Timeline |
General Motors |
Driehaus Small Cap |
GM and Driehaus Small Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Driehaus Small
The main advantage of trading using opposite GM and Driehaus Small positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Driehaus Small 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 Driehaus Small will offset losses from the drop in Driehaus Small's long position.The idea behind General Motors and Driehaus Small Cap 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.Driehaus Small vs. Ab Global Risk | Driehaus Small vs. Mirova Global Green | Driehaus Small vs. Dws Global Macro | Driehaus Small vs. Goldman Sachs Global |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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