Walmart Stock Market Value
WMT Stock | USD 60.72 0.21 0.35% |
Symbol | Walmart |
Walmart Price To Book Ratio
Is Walmart's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Walmart. If investors know Walmart will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Walmart listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.12) | Dividend Share 0.76 | Earnings Share 1.91 | Revenue Per Share 80.243 | Quarterly Revenue Growth 0.057 |
The market value of Walmart is measured differently than its book value, which is the value of Walmart that is recorded on the company's balance sheet. Investors also form their own opinion of Walmart's value that differs from its market value or its book value, called intrinsic value, which is Walmart's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Walmart's market value can be influenced by many factors that don't directly affect Walmart's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Walmart's value and its price as these two are different measures arrived at by different means. Investors typically determine if Walmart is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Walmart'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.
Walmart 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Walmart's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Walmart.
02/27/2024 |
| 03/28/2024 |
If you would invest 0.00 in Walmart on February 27, 2024 and sell it all today you would earn a total of 0.00 from holding Walmart or generate 0.0% return on investment in Walmart over 30 days. Walmart is related to or competes with Grocery Outlet, Trxade, Davis Commodities, and WEBUY GLOBAL. Walmart Inc. engages in the operation of retail, wholesale, and other units worldwide More
Walmart Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Walmart's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Walmart upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.6785 | |||
Information Ratio | 0.1458 | |||
Maximum Drawdown | 4.93 | |||
Value At Risk | (0.96) | |||
Potential Upside | 1.46 |
Walmart Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Walmart's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Walmart's standard deviation. In reality, there are many statistical measures that can use Walmart historical prices to predict the future Walmart's volatility.Risk Adjusted Performance | 0.1742 | |||
Jensen Alpha | 0.2032 | |||
Total Risk Alpha | 0.0596 | |||
Sortino Ratio | 0.1784 | |||
Treynor Ratio | 0.7242 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Walmart's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Walmart Backtested Returns
Walmart appears to be very steady, given 3 months investment horizon. Walmart shows Sharpe Ratio of 0.29, which attests that the company had a 0.29% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Walmart, which you can use to evaluate the volatility of the company. Please utilize Walmart's Market Risk Adjusted Performance of 0.7342, downside deviation of 0.6785, and Mean Deviation of 0.6345 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Walmart holds a performance score of 22. The firm maintains a market beta of 0.34, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Walmart's returns are expected to increase less than the market. However, during the bear market, the loss of holding Walmart is expected to be smaller as well. Please check Walmart's value at risk, as well as the relationship between the kurtosis and price action indicator , to make a quick decision on whether Walmart's historical returns will revert.
Auto-correlation | 0.01 |
Virtually no predictability
Walmart has virtually no predictability. Overlapping area represents the amount of predictability between Walmart time series from 27th of February 2024 to 13th of March 2024 and 13th of March 2024 to 28th of March 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Walmart price movement. The serial correlation of 0.01 indicates that just 1.0% of current Walmart price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.01 | |
Spearman Rank Test | -0.31 | |
Residual Average | 0.0 | |
Price Variance | 0.07 |
Walmart lagged returns against current returns
Autocorrelation, which is Walmart stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Walmart's stock expected returns. We can calculate the autocorrelation of Walmart returns to help us make a trade decision. For example, suppose you find that Walmart has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
Timeline |
Walmart regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Walmart stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Walmart stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Walmart stock over time.
Current vs Lagged Prices |
Timeline |
Walmart Lagged Returns
When evaluating Walmart's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Walmart stock have on its future price. Walmart autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Walmart autocorrelation shows the relationship between Walmart stock current value and its past values and can show if there is a momentum factor associated with investing in Walmart.
Regressed Prices |
Timeline |
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Check out Walmart Correlation, Walmart Volatility and Walmart Alpha and Beta module to complement your research on Walmart. For more information on how to buy Walmart Stock please use our How to Invest in Walmart guide.You can also try the Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
Complementary Tools for Walmart Stock analysis
When running Walmart's price analysis, check to measure Walmart's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Walmart is operating at the current time. Most of Walmart's value examination focuses on studying past and present price action to predict the probability of Walmart's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Walmart's price. Additionally, you may evaluate how the addition of Walmart to your portfolios can decrease your overall portfolio volatility.
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Walmart technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.