Bank Selling General Administrative vs Income Tax Expense Analysis

BOFA Stock   22.99  0.46  2.04%   
Bank of America financial indicator trend analysis is way more than just evaluating Bank of America prevailing accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Bank of America is a good investment. Please check the relationship between Bank of America Selling General Administrative and its Income Tax Expense accounts. Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Bank of America. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
For information on how to trade Bank Stock refer to our How to Trade Bank Stock guide.

Selling General Administrative vs Income Tax Expense

Selling General Administrative vs Income Tax Expense Correlation Analysis

The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Bank of America Selling General Administrative account and Income Tax Expense. At this time, the significance of the direction appears to have strong contrarian relationship.
The correlation between Bank of America's Selling General Administrative and Income Tax Expense is -0.56. Overlapping area represents the amount of variation of Selling General Administrative that can explain the historical movement of Income Tax Expense in the same time period over historical financial statements of Bank of America, assuming nothing else is changed. The correlation between historical values of Bank of America's Selling General Administrative and Income Tax Expense is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Selling General Administrative of Bank of America are associated (or correlated) with its Income Tax Expense. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Income Tax Expense has no effect on the direction of Selling General Administrative i.e., Bank of America's Selling General Administrative and Income Tax Expense go up and down completely randomly.

Correlation Coefficient

-0.56
Relationship DirectionNegative 
Relationship StrengthVery Weak

Selling General Administrative

Income Tax Expense

Most indicators from Bank of America's fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into Bank of America current financial condition. On the other hand, looking into the entire matrix of fundamental ratios indicators, and analyzing their relationships over time can provide a more complete picture of the company financial strength now and in the future. Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Bank of America. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
For information on how to trade Bank Stock refer to our How to Trade Bank Stock guide.At present, Bank of America's Selling General Administrative is projected to increase significantly based on the last few years of reporting.
 2021 2022 2023 2024 (projected)
Net Interest Income42.9B52.5B56.9B53.8B
Tax Provision2.0B3.4B1.8B2.2B

Bank of America fundamental ratios Correlations

0.530.980.82-0.980.780.88-0.970.930.980.880.680.980.970.49-0.870.53-0.980.58-0.651.00.940.960.50.95-0.97
0.530.530.42-0.430.430.35-0.340.510.520.310.560.530.570.33-0.530.91-0.410.61-0.320.530.530.540.550.35-0.61
0.980.530.8-0.980.830.86-0.960.961.00.860.780.980.990.36-0.790.51-0.950.68-0.680.980.940.920.60.95-0.94
0.820.420.8-0.810.930.97-0.770.840.790.70.780.910.870.78-0.930.47-0.740.67-0.720.810.960.660.650.82-0.85
-0.98-0.43-0.98-0.81-0.8-0.90.97-0.97-0.98-0.82-0.75-0.97-0.96-0.410.83-0.380.94-0.660.75-0.98-0.93-0.93-0.59-0.930.95
0.780.430.830.93-0.80.89-0.760.850.810.710.880.890.90.53-0.770.46-0.710.77-0.670.770.930.590.730.84-0.77
0.880.350.860.97-0.90.89-0.840.920.840.70.790.930.890.71-0.940.33-0.80.69-0.830.870.960.760.670.84-0.9
-0.97-0.34-0.96-0.770.97-0.76-0.84-0.89-0.97-0.93-0.61-0.94-0.94-0.380.77-0.390.99-0.480.58-0.97-0.89-0.92-0.39-0.980.89
0.930.510.960.84-0.970.850.92-0.890.940.70.880.960.950.44-0.840.4-0.850.81-0.860.930.950.860.760.86-0.96
0.980.521.00.79-0.980.810.84-0.970.940.890.730.970.980.36-0.790.52-0.970.63-0.630.980.920.930.540.96-0.94
0.880.310.860.7-0.820.710.7-0.930.70.890.420.850.860.36-0.670.5-0.950.26-0.280.880.790.80.160.96-0.75
0.680.560.780.78-0.750.880.79-0.610.880.730.420.790.820.36-0.680.38-0.550.98-0.850.680.840.550.960.63-0.76
0.980.530.980.91-0.970.890.93-0.940.960.970.850.790.990.55-0.90.54-0.930.69-0.720.970.990.890.620.95-0.97
0.970.570.990.87-0.960.90.89-0.940.950.980.860.820.990.45-0.840.57-0.920.71-0.680.960.970.870.640.95-0.94
0.490.330.360.78-0.410.530.71-0.380.440.360.360.360.550.45-0.840.43-0.40.29-0.460.480.630.40.320.42-0.58
-0.87-0.53-0.79-0.930.83-0.77-0.940.77-0.84-0.79-0.67-0.68-0.9-0.84-0.84-0.540.78-0.590.73-0.86-0.92-0.8-0.57-0.770.93
0.530.910.510.47-0.380.460.33-0.390.40.520.50.380.540.570.43-0.54-0.490.37-0.070.530.540.50.290.45-0.55
-0.98-0.41-0.95-0.740.94-0.71-0.80.99-0.85-0.97-0.95-0.55-0.93-0.92-0.40.78-0.49-0.420.51-0.98-0.87-0.95-0.32-0.970.9
0.580.610.680.67-0.660.770.69-0.480.810.630.260.980.690.710.29-0.590.37-0.42-0.840.570.730.480.990.48-0.69
-0.65-0.32-0.68-0.720.75-0.67-0.830.58-0.86-0.63-0.28-0.85-0.72-0.68-0.460.73-0.070.51-0.84-0.65-0.75-0.6-0.86-0.520.77
1.00.530.980.81-0.980.770.87-0.970.930.980.880.680.970.960.48-0.860.53-0.980.57-0.650.930.970.490.94-0.97
0.940.530.940.96-0.930.930.96-0.890.950.920.790.840.990.970.63-0.920.54-0.870.73-0.750.930.820.680.91-0.94
0.960.540.920.66-0.930.590.76-0.920.860.930.80.550.890.870.4-0.80.5-0.950.48-0.60.970.820.390.85-0.94
0.50.550.60.65-0.590.730.67-0.390.760.540.160.960.620.640.32-0.570.29-0.320.99-0.860.490.680.390.39-0.63
0.950.350.950.82-0.930.840.84-0.980.860.960.960.630.950.950.42-0.770.45-0.970.48-0.520.940.910.850.39-0.86
-0.97-0.61-0.94-0.850.95-0.77-0.90.89-0.96-0.94-0.75-0.76-0.97-0.94-0.580.93-0.550.9-0.690.77-0.97-0.94-0.94-0.63-0.86
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Bank of America Account Relationship Matchups

Pair Trading with Bank of America

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Bank of America position performs unexpectedly, the other equity 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 appreciate offsetting losses from the drop in the long position's value.

Moving together with Bank Stock

  0.95ENB EnbridgePairCorr
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  0.88TRP TC Energy CorpPairCorr

Moving against Bank Stock

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  0.66TD Toronto Dominion BankPairCorr
  0.65AQN Algonquin Power UtilitiesPairCorr
  0.39T Telus CorpPairCorr
  0.34ENB-PH Enbridge H CumPairCorr
The ability to find closely correlated positions to Bank of America could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Bank of America when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Bank of America - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Bank of America to buy it.
The correlation of Bank of America is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Bank of America moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Bank of America moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Bank of America can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
When determining whether Bank of America offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Bank of America's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Bank Of America Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Bank Of America Stock:
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Bank of America. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
For information on how to trade Bank Stock refer to our How to Trade Bank Stock guide.
You can also try the Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
Please note, there is a significant difference between Bank of America's value and its price as these two are different measures arrived at by different means. Investors typically determine if Bank of America is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Bank of America's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.