Correlation Between GM and Brembo SpA
Can any of the company-specific risk be diversified away by investing in both GM and Brembo SpA 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 Brembo SpA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Brembo SpA, you can compare the effects of market volatilities on GM and Brembo SpA 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 Brembo SpA. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Brembo SpA.
Diversification Opportunities for GM and Brembo SpA
-0.68 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between GM and Brembo is -0.68. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Brembo SpA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Brembo SpA 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 Brembo SpA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Brembo SpA has no effect on the direction of GM i.e., GM and Brembo SpA go up and down completely randomly.
Pair Corralation between GM and Brembo SpA
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the Brembo SpA. In addition to that, GM is 1.61 times more volatile than Brembo SpA. It trades about -0.15 of its total potential returns per unit of risk. Brembo SpA is currently generating about 0.13 per unit of volatility. If you would invest 917.00 in Brembo SpA on September 15, 2024 and sell it today you would earn a total of 40.00 from holding Brembo SpA or generate 4.36% 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. Brembo SpA
Performance |
Timeline |
General Motors |
Brembo SpA |
GM and Brembo SpA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Brembo SpA
The main advantage of trading using opposite GM and Brembo SpA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Brembo SpA 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 Brembo SpA will offset losses from the drop in Brembo SpA's long position.The idea behind General Motors and Brembo SpA 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.Brembo SpA vs. Astra International Tbk | Brembo SpA vs. Mobileye Global Class | Brembo SpA vs. HUMANA INC | Brembo SpA vs. Barloworld Ltd ADR |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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