Correlation Between Valmont Industries and Bank of America

Can any of the company-specific risk be diversified away by investing in both Valmont Industries 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 Valmont Industries 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 Valmont Industries and Bank of America, you can compare the effects of market volatilities on Valmont Industries 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 Valmont Industries with a short position of Bank of America. Check out your portfolio center. Please also check ongoing floating volatility patterns of Valmont Industries and Bank of America.

Diversification Opportunities for Valmont Industries and Bank of America

0.42

Correlation Coefficient

Valmont Industries  Bank of America

Very weak diversification

The 3 months correlation between Valmont and Bank is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding Valmont Industries 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 Valmont Industries 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 Valmont Industries 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 Valmont Industries i.e., Valmont Industries and Bank of America go up and down completely randomly.

Pair Corralation between Valmont Industries and Bank of America

Considering the 90-day investment horizon Valmont Industries is expected to generate 3.33 times more return on investment than Bank of America. However, Valmont Industries is 3.33 times more volatile than Bank of America. It trades about 0.09 of its potential returns per unit of risk. Bank of America is currently generating about 0.06 per unit of risk. If you would invest  23,063  in Valmont Industries on October 24, 2024 and sell it today you would earn a total of  11,232  from holding Valmont Industries or generate 48.7% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Weak
Accuracy	99.6%
Values	Daily Returns

Valmont Industries  vs.  Bank of America

Valmont Industries

Risk-Adjusted Performance

4 of 100

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in Valmont Industries are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. Despite fairly strong primary indicators, Valmont Industries is not utilizing all of its potentials. The latest stock price confusion, may contribute to short-horizon losses for the traders.

Bank of America

Risk-Adjusted Performance

1 of 100

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in Bank of America are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. Despite quite persistent fundamental indicators, Bank of America is not utilizing all of its potentials. The current stock price mess, may contribute to short-term losses for the institutional investors.

Pair Trading with Valmont Industries and Bank of America

The main advantage of trading using opposite Valmont Industries and Bank of America positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Valmont Industries 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 Valmont Industries 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 Commodity Directory module to find actively traded commodities issued by global exchanges.