Correlation Between Bank of America and Argen X

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

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

Diversification Opportunities for Bank of America and Argen X

0.88

Correlation Coefficient

Bank of America  Argen X

Very poor diversification

The 3 months correlation between Bank and Argen is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Argen X in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Argen X and Bank of America 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 Bank of America are associated (or correlated) with Argen X. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Argen X has no effect on the direction of Bank of America i.e., Bank of America and Argen X go up and down completely randomly.

Pair Corralation between Bank of America and Argen X

Considering the 90-day investment horizon Bank of America is expected to generate 1.06 times more return on investment than Argen X. However, Bank of America is 1.06 times more volatile than Argen X. It trades about -0.05 of its potential returns per unit of risk. Argen X is currently generating about -0.07 per unit of risk. If you would invest  4,363  in Bank of America on December 28, 2024 and sell it today you would lose (238.00) from holding Bank of America or give up 5.45% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Strong
Accuracy	95.31%
Values	Daily Returns

Bank of America  vs.  Argen X

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. In spite of rather sound basic indicators, Bank of America is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.

Argen X

Risk-Adjusted Performance

Very Weak

Over the last 90 days Argen X has generated negative risk-adjusted returns adding no value to investors with long positions. Even with latest uncertain performance, the Stock's basic indicators remain invariable and the latest agitation on Wall Street may also be a sign of long-running gains for the enterprise retail investors.

Pair Trading with Bank of America and Argen X

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

The idea behind Bank of America and Argen X 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.