Correlation Between GX AI and Bank of America

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

By analyzing existing cross correlation between GX AI TECH and Bank of America, you can compare the effects of market volatilities on GX AI and Bank of America 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 GX AI with a short position of Bank of America. Check out your portfolio center. Please also check ongoing floating volatility patterns of GX AI and Bank of America.

Diversification Opportunities for GX AI and Bank of America

0.74

Correlation Coefficient

GX AI  Bank of America

Poor diversification

The 3 months correlation between BAIQ39 and Bank is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding GX AI TECH and Bank of America in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank of America and GX AI 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 GX AI TECH are associated (or correlated) with Bank of America. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank of America has no effect on the direction of GX AI i.e., GX AI and Bank of America go up and down completely randomly.

Pair Corralation between GX AI and Bank of America

Assuming the 90 days trading horizon GX AI TECH is expected to under-perform the Bank of America. In addition to that, GX AI is 1.48 times more volatile than Bank of America. It trades about -0.08 of its total potential returns per unit of risk. Bank of America is currently generating about -0.1 per unit of volatility. If you would invest  6,906  in Bank of America on December 24, 2024 and sell it today you would lose (852.00) from holding Bank of America or give up 12.34% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	96.61%
Values	Daily Returns

GX AI TECH  vs.  Bank of America

GX AI TECH

Risk-Adjusted Performance

Very Weak

Over the last 90 days GX AI TECH has generated negative risk-adjusted returns adding no value to investors with long positions. Despite weak performance in the last few months, the Stock's forward indicators remain somewhat strong which may send shares a bit higher in April 2025. The current disturbance may also be a sign of long term up-swing for the company investors.

Bank of America

Risk-Adjusted Performance

Very Weak

Over the last 90 days Bank of America has generated negative risk-adjusted returns adding no value to investors with long positions. Despite weak performance in the last few months, the Stock's basic indicators remain somewhat strong which may send shares a bit higher in April 2025. The current disturbance may also be a sign of long term up-swing for the company investors.

Pair Trading with GX AI and Bank of America

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

The idea behind GX AI TECH and Bank of America 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.