Correlation Between GM and Datametrex

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

By analyzing existing cross correlation between General Motors and Datametrex AI, you can compare the effects of market volatilities on GM and Datametrex 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 Datametrex. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Datametrex.

Diversification Opportunities for GM and Datametrex

-0.36

Correlation Coefficient

GM  Datametrex

Very good diversification

The 3 months correlation between GM and Datametrex is -0.36. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Datametrex AI in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Datametrex AI 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 Datametrex. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Datametrex AI has no effect on the direction of GM i.e., GM and Datametrex go up and down completely randomly.

Pair Corralation between GM and Datametrex

Allowing for the 90-day total investment horizon General Motors is expected to under-perform the Datametrex. But the stock apears to be less risky and, when comparing its historical volatility, General Motors is 21.25 times less risky than Datametrex. The stock trades about -0.13 of its potential returns per unit of risk. The Datametrex AI is currently generating about 0.27 of returns per unit of risk over similar time horizon. If you would invest  0.50  in Datametrex AI on September 20, 2024 and sell it today you would earn a total of  0.50  from holding Datametrex AI or generate 100.0% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	100.0%
Values	Daily Returns

General Motors  vs.  Datametrex AI

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.

Datametrex AI

Risk-Adjusted Performance

12 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Datametrex AI are ranked lower than 12 (%) of all global equities and portfolios over the last 90 days. In spite of fairly weak basic indicators, Datametrex showed solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with GM and Datametrex

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

The idea behind General Motors and Datametrex AI 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.

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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.