Correlation Between GM and 04685A2Z3

Can any of the company-specific risk be diversified away by investing in both GM and 04685A2Z3 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 04685A2Z3 into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between General Motors and ATH 1608 29 JUN 26, you can compare the effects of market volatilities on GM and 04685A2Z3 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 04685A2Z3. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and 04685A2Z3.

Diversification Opportunities for GM and 04685A2Z3

0.26

Correlation Coefficient

GM  04685A2Z3

Modest diversification

The 3 months correlation between GM and 04685A2Z3 is 0.26. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and ATH 1608 29 JUN 26 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ATH 1608 29 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 04685A2Z3. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ATH 1608 29 has no effect on the direction of GM i.e., GM and 04685A2Z3 go up and down completely randomly.

Pair Corralation between GM and 04685A2Z3

If you would invest  0.00  in ATH 1608 29 JUN 26 on October 12, 2024 and sell it today you would earn a total of  0.00  from holding ATH 1608 29 JUN 26 or generate 0.0% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Weak
Accuracy	5.0%
Values	Daily Returns

General Motors  vs.  ATH 1608 29 JUN 26

General Motors

Risk-Adjusted Performance

2 of 100

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in General Motors are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. In spite of very healthy primary indicators, GM is not utilizing all of its potentials. The current stock price disarray, may contribute to short-term losses for the investors.

ATH 1608 29

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days ATH 1608 29 JUN 26 has generated negative risk-adjusted returns adding no value to investors with long positions. Despite latest weak performance, the Bond's basic indicators remain strong and the current disturbance on Wall Street may also be a sign of long term gains for ATH 1608 29 JUN 26 investors.

Pair Trading with GM and 04685A2Z3

The main advantage of trading using opposite GM and 04685A2Z3 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, 04685A2Z3 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 04685A2Z3 will offset losses from the drop in 04685A2Z3's long position.

The idea behind General Motors and ATH 1608 29 JUN 26 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.

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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.