Walmart vs GM Comparison

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The Macroaxis Comparable Analysis module helps investors to evaluate stocks by comparing them to other traded companies based on similar metrics to determine their enterprise value. The basic idea behind this approach is that Walmart and GM should bear some resemblance to each other or to other equities in a similar class. Walmart Walmart Weighted Average Shares is comparatively stable at the moment as compared to the past year. Walmart reported Weighted Average Shares of 2.79 Billion in 2021. Weighted Average Shares Diluted is likely to gain to about 3.3 B in 2022, whereas Issuance Purchase of Equity Shares is likely to drop (5.1 B) in 2022.
Typically, diversification allows investors to combine positions across different asset classes to reduce overall portfolio risk. Correlation between positions in your portfolio represents the degree of relationship between the price movements of corresponding instruments. A correlation of about +1.0 implies that the prices move in tandem. A correlation of -1.0 means that prices move in opposite directions. A correlation of close to zero suggests that the price movements of assets are uncorrelated.

Cross Equities Net Income Analysis

Compare Walmart, and General Motors Net Income Over Time
Select Fundamental

2010201120122013201420152016201720182019202020212022
WMT14.3 B15.7 B17 B16 B16.4 B14.7 B13.6 B9.9 B6.7 B14.9 B13.5 B13.7 B15.3 B
GM6.2 B9.2 B6.2 B5.3 B3.9 B9.7 B9.4 B(3.9 B)B6.7 B6.4 B10 BB

Walmart, and General Motors Net Income description

Net income is one of the most important fundamental items in finance. It plays a large role in entities financial statement analysis. It represents the amount of money remaining after all of organizations operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue. The portion of profit or loss for the period; net of income taxes; which is attributable to the parent after the deduction of Net Income to Non Controlling Interests from Consolidated Income; and before the deduction of Preferred Dividends.

Competitive Analysis

    
 Better Than Average     
    
 Worse Than Peers    View Performance Chart
WMT
GM
 0.1 
 153.22 
 1.31 
 39.90 
Market Volatility
(90 Days Market Risk)
Market Performance
(90 Days Performance)
Odds of Financial Distress
(Probability Of Bankruptcy)
Current Valuation
(Equity Enterprise Value)
Buy or Sell Advice
(Average Analysts Consensus)
Trade Advice
(90 Days Macroaxis Advice)
Number of Shares Shorted
Shares Owned by Insiders
Current Ratio
Net Asset
Profit Margin
EBITDA
Operating Margin
Current Valuation
Cash Flow from Operations
Retained Earnings
Current Asset
Five Year Return
Beta
Price to Book
Shares Outstanding
Annual Yield
Total Debt
Return On Equity
Price to Earning
Z Score
Shares Owned by Institutions
Return On Asset
Book Value Per Share
Cash and Equivalents
Price to Earnings To Growth
Current Liabilities
Total Asset
Short Ratio
Target Price
Last Dividend Paid
Price to Sales
Market Capitalization
Cash per Share
Net Income
Earnings Per Share
Debt to Equity
Revenue
Working Capital
Gross Profit
Day Typical Price
Accumulation Distribution
Daily Balance Of Power
Rate Of Daily Change
Day Median Price
Price Action Indicator
Coefficient Of Variation
Mean Deviation
Jensen Alpha
Total Risk Alpha
Sortino Ratio
Downside Variance
Standard Deviation
Kurtosis
Potential Upside
Treynor Ratio
Maximum Drawdown
Variance
Market Risk Adjusted Performance
Risk Adjusted Performance
Skewness
Semi Deviation
Information Ratio
Value At Risk
Expected Short fall
Downside Deviation
Semi Variance

Market Neutrality

One of the main advantages of trading using market-neutral strategies is that every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses.
Please note, the success of pairs trading depends heavily on the modeling and forecasting of the spread time series. However, in general, pair trading minimizes risk from directional movements in the market unless the strategy's equities are perfectly correlated. For example, if an entire industry or sector drops because of unexpected headlines, the first equity's short position will appreciate offsetting losses from the drop in the long position's value.

Generate Optimal Portfolios

The classical approach to portfolio optimization is known as Modern Portfolio Theory (MPT). It involves categorizing the investment universe based on risk (standard deviation) and return, and then choosing the mix of investments that achieves the desired risk-versus-return tradeoff. Portfolio optimization can also be thought of as a risk-management strategy as every type of equity has a distinct return and risk characteristics as well as different systemic risks, which describes how they respond to the market at large. Macroaxis enables investors to optimize portfolios that have a mix of equities (such as stocks, funds, or ETFs) and cryptocurrencies (such as Bitcoin, Ethereum or Monero)
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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 Global Correlations module to find global opportunities by holding instruments from different markets.

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Walmart vs GM comparative analysis provides an insight into diversification possibilities from combining Walmart and GM into the same portfolio. You can use this module to analyze the comparative aspects of Walmart and GM across most of their technical and fundamental indicators. Please use the input box below to enter a few concurrent symbols you would like to analyze. With this comparative module, you can estimate the relative strength of Walmart against GM. Check out your portfolio center.