Weis Markets Stock Market Value
| WMK Stock | USD 73.97 0.77 1.05% |
| Symbol | Weis |
Weis Markets Price To Book Ratio
Is Consumer Staples Distribution & Retail space 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 Weis Markets. If investors know Weis 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 Weis Markets 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 1.36 | Earnings Share 3.99 | Revenue Per Share | Quarterly Revenue Growth 0.016 |
The market value of Weis Markets is measured differently than its book value, which is the value of Weis that is recorded on the company's balance sheet. Investors also form their own opinion of Weis Markets' value that differs from its market value or its book value, called intrinsic value, which is Weis Markets' 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 Weis Markets' market value can be influenced by many factors that don't directly affect Weis Markets' 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 Weis Markets' value and its price as these two are different measures arrived at by different means. Investors typically determine if Weis Markets is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Weis Markets' 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.
Weis Markets '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 Weis Markets' 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 Weis Markets.
| 03/23/2025 |
| 06/21/2025 |
If you would invest 0.00 in Weis Markets on March 23, 2025 and sell it all today you would earn a total of 0.00 from holding Weis Markets or generate 0.0% return on investment in Weis Markets over 90 days. Weis Markets is related to or competes with Natural Grocers, Ingles Markets, Grocery Outlet, Village Super, Sprouts Farmers, Koninklijke Ahold, and Coles Group. Weis Markets, Inc. engages in the retail sale of food through a chain of supermarkets in Pennsylvania and surrounding st... More
Weis Markets 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 Weis Markets' 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 Weis Markets upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 13.75 | |||
| Value At Risk | (3.06) | |||
| Potential Upside | 2.62 |
Weis Markets Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Weis Markets' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Weis Markets' standard deviation. In reality, there are many statistical measures that can use Weis Markets historical prices to predict the future Weis Markets' volatility.| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (0.11) | |||
| Total Risk Alpha | (0.15) | |||
| Treynor Ratio | 0.588 |
Weis Markets Backtested Returns
Weis Markets shows Sharpe Ratio of close to zero, which attests that the company had a close to zero % return per unit of risk over the last 3 months. Weis Markets exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Weis Markets' Market Risk Adjusted Performance of 0.598, mean deviation of 1.49, and Standard Deviation of 2.04 to validate the risk estimate we provide. The firm maintains a market beta of -0.2, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Weis Markets are expected to decrease at a much lower rate. During the bear market, Weis Markets is likely to outperform the market. At this point, Weis Markets has a negative expected return of -0.0176%. Please make sure to check out Weis Markets' potential upside, as well as the relationship between the rate of daily change and relative strength index , to decide if Weis Markets performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.54 |
Good reverse predictability
Weis Markets has good reverse predictability. Overlapping area represents the amount of predictability between Weis Markets time series from 23rd of March 2025 to 7th of May 2025 and 7th of May 2025 to 21st of June 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Weis Markets price movement. The serial correlation of -0.54 indicates that about 54.0% of current Weis Markets price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.54 | |
| Spearman Rank Test | -0.54 | |
| Residual Average | 0.0 | |
| Price Variance | 8.12 |
Weis Markets lagged returns against current returns
Autocorrelation, which is Weis Markets 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 Weis Markets' stock expected returns. We can calculate the autocorrelation of Weis Markets returns to help us make a trade decision. For example, suppose you find that Weis Markets 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 |
Weis Markets 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 Weis Markets stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Weis Markets stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Weis Markets stock over time.
Current vs Lagged Prices |
| Timeline |
Weis Markets Lagged Returns
When evaluating Weis Markets' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Weis Markets stock have on its future price. Weis Markets 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, Weis Markets autocorrelation shows the relationship between Weis Markets stock current value and its past values and can show if there is a momentum factor associated with investing in Weis Markets.
Regressed Prices |
| Timeline |
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Weis Markets 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.