Walmart (Mexico) Market Value
| WMT Stock | MXN 1,031 0.01 0.001% |
| Symbol | Walmart |
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.
| 03/30/2024 |
| 04/29/2024 |
If you would invest 0.00 in Walmart on March 30, 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 Target, and Burlington Stores. 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.
| Information Ratio | (0.11) | |||
| Maximum Drawdown | 67.73 | |||
| Value At Risk | (1.96) | |||
| Potential Upside | 2.08 |
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 | (0.05) | |||
| Jensen Alpha | (0.80) | |||
| Total Risk Alpha | (1.91) | |||
| Treynor Ratio | 1.26 |
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 shows Sharpe Ratio of -0.11, which attests that the company had a -0.11% return per unit of risk over the last 3 months. Walmart exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Walmart's Mean Deviation of 2.21, standard deviation of 8.31, and Market Risk Adjusted Performance of 1.27 to validate the risk estimate we provide. The firm maintains a market beta of -0.68, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Walmart are expected to decrease at a much lower rate. During the bear market, Walmart is likely to outperform the market. Walmart has an expected return of -0.95%. Please make sure to check out Walmart kurtosis, and the relationship between the maximum drawdown and day median price , to decide if Walmart performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.24 |
Weak predictability
Walmart has weak predictability. Overlapping area represents the amount of predictability between Walmart time series from 30th of March 2024 to 14th of April 2024 and 14th of April 2024 to 29th of April 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 0.24 indicates that over 24.0% of current Walmart price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.24 | |
| Spearman Rank Test | 0.15 | |
| Residual Average | 0.0 | |
| Price Variance | 142.78 |
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 |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether Walmart is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Walmart Stock is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Walmart Stock. Highlighted below are key reports to facilitate an investment decision about Walmart Stock: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 Bond Analysis module to evaluate and analyze corporate bonds as a potential investment for your portfolios..
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.