Correlation Between Bank of America and Insteel Industries
Can any of the company-specific risk be diversified away by investing in both Bank of America and Insteel Industries 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 Insteel Industries 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 Insteel Industries, you can compare the effects of market volatilities on Bank of America and Insteel Industries 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 Insteel Industries. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Insteel Industries.
Diversification Opportunities for Bank of America and Insteel Industries
0.28 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Bank and Insteel is 0.28. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Insteel Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Insteel Industries 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 Insteel Industries. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Insteel Industries has no effect on the direction of Bank of America i.e., Bank of America and Insteel Industries go up and down completely randomly.
Pair Corralation between Bank of America and Insteel Industries
Considering the 90-day investment horizon Bank of America is expected to under-perform the Insteel Industries. But the stock apears to be less risky and, when comparing its historical volatility, Bank of America is 1.52 times less risky than Insteel Industries. The stock trades about -0.02 of its potential returns per unit of risk. The Insteel Industries is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 2,677 in Insteel Industries on December 28, 2024 and sell it today you would earn a total of 82.00 from holding Insteel Industries or generate 3.06% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Bank of America vs. Insteel Industries
Performance |
Timeline |
Bank of America |
Insteel Industries |
Bank of America and Insteel Industries Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and Insteel Industries
The main advantage of trading using opposite Bank of America and Insteel Industries positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Insteel Industries 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 Insteel Industries will offset losses from the drop in Insteel Industries' long position.Bank of America vs. Citigroup | Bank of America vs. Wells Fargo | Bank of America vs. Toronto Dominion Bank | Bank of America vs. Royal Bank of |
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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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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