Walmart Inc Cdr Stock Market Value
| WMT Stock | 38.44 0.53 1.40% |
| 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.
| 10/22/2024 |
| 11/21/2024 |
If you would invest 0.00 in Walmart on October 22, 2024 and sell it all today you would earn a total of 0.00 from holding Walmart Inc CDR or generate 0.0% return on investment in Walmart over 30 days. Walmart is related to or competes with Westshore Terminals, Renoworks Software, Brookfield Office, Falcon Energy, Bip Investment, and Atrium Mortgage. Walmart is entity of Canada. It is traded as Stock on NEO exchange. 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 Inc CDR upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.993 | |||
| Information Ratio | 0.1589 | |||
| Maximum Drawdown | 4.55 | |||
| Value At Risk | (1.33) | |||
| Potential Upside | 1.51 |
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 | 0.1948 | |||
| Jensen Alpha | 0.2492 | |||
| Total Risk Alpha | 0.1304 | |||
| Sortino Ratio | 0.1582 | |||
| Treynor Ratio | (3.08) |
Walmart Inc CDR Backtested Returns
Walmart appears to be very steady, given 3 months investment horizon. Walmart Inc CDR shows Sharpe Ratio of 0.24, which attests that the company had a 0.24% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Walmart Inc CDR, which you can use to evaluate the volatility of the company. Please utilize Walmart's Downside Deviation of 0.993, market risk adjusted performance of (3.07), and Mean Deviation of 0.7595 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Walmart holds a performance score of 19. The firm maintains a market beta of -0.0786, which attests to not very significant fluctuations relative to the market. 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. Please check Walmart's semi variance, rate of daily change, and the relationship between the value at risk and kurtosis , to make a quick decision on whether Walmart's historical returns will revert.
Auto-correlation | 0.54 |
Modest predictability
Walmart Inc CDR has modest predictability. Overlapping area represents the amount of predictability between Walmart time series from 22nd of October 2024 to 6th of November 2024 and 6th of November 2024 to 21st of November 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 Inc CDR price movement. The serial correlation of 0.54 indicates that about 54.0% of current Walmart price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.54 | |
| Spearman Rank Test | 0.48 | |
| Residual Average | 0.0 | |
| Price Variance | 0.38 |
Walmart Inc CDR 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 Inc CDR.
Regressed Prices |
| Timeline |
Pair Trading with Walmart
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 Walmart 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 Walmart will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Walmart could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Walmart 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 Walmart - 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 Walmart Inc CDR to buy it.
The correlation of Walmart 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 Walmart moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Walmart Inc CDR 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 Walmart 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.Other Information on Investing in Walmart Stock
Walmart financial ratios help investors to determine whether Walmart Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Walmart with respect to the benefits of owning Walmart security.