Warehouses De Pauw Stock Market Value
| WDPSF Stock | USD 25.29 0.57 2.20% |
| Symbol | Warehouses |
Warehouses '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 Warehouses' pink sheet 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 Warehouses.
| 11/26/2025 |
| 12/26/2025 |
If you would invest 0.00 in Warehouses on November 26, 2025 and sell it all today you would earn a total of 0.00 from holding Warehouses De Pauw or generate 0.0% return on investment in Warehouses over 30 days. Warehouses is related to or competes with FIBRA Prologis, Covivio, Land Securities, LondonMetric Property, Mapletree Logistics, Land Securities, and GPT. WDP develops and invests in logistics property More
Warehouses 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 Warehouses' pink sheet 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 Warehouses De Pauw upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.72 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 7.33 | |||
| Value At Risk | (1.82) | |||
| Potential Upside | 4.08 |
Warehouses Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Warehouses' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Warehouses' standard deviation. In reality, there are many statistical measures that can use Warehouses historical prices to predict the future Warehouses' volatility.| Risk Adjusted Performance | 0.0405 | |||
| Jensen Alpha | 0.0721 | |||
| Total Risk Alpha | (0.08) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | (0.29) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Warehouses' 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.
Warehouses De Pauw Backtested Returns
At this point, Warehouses is very steady. Warehouses De Pauw shows Sharpe Ratio of 0.0515, which attests that the company had a 0.0515 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Warehouses De Pauw, which you can use to evaluate the volatility of the company. Please check out Warehouses' Mean Deviation of 0.659, market risk adjusted performance of (0.28), and Downside Deviation of 1.72 to validate if the risk estimate we provide is consistent with the expected return of 0.0688%. Warehouses has a performance score of 4 on a scale of 0 to 100. 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 Warehouses are expected to decrease at a much lower rate. During the bear market, Warehouses is likely to outperform the market. Warehouses De Pauw right now maintains a risk of 1.34%. Please check out Warehouses De Pauw downside variance, as well as the relationship between the daily balance of power and period momentum indicator , to decide if Warehouses De Pauw will be following its historical returns.
Auto-correlation | -0.26 |
Weak reverse predictability
Warehouses De Pauw has weak reverse predictability. Overlapping area represents the amount of predictability between Warehouses time series from 26th of November 2025 to 11th of December 2025 and 11th of December 2025 to 26th of December 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 Warehouses De Pauw price movement. The serial correlation of -0.26 indicates that nearly 26.0% of current Warehouses price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.26 | |
| Spearman Rank Test | -0.62 | |
| Residual Average | 0.0 | |
| Price Variance | 0.22 |
Warehouses De Pauw lagged returns against current returns
Autocorrelation, which is Warehouses pink sheet'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 Warehouses' pink sheet expected returns. We can calculate the autocorrelation of Warehouses returns to help us make a trade decision. For example, suppose you find that Warehouses has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
Warehouses 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 Warehouses pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Warehouses pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Warehouses pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Warehouses Lagged Returns
When evaluating Warehouses' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Warehouses pink sheet have on its future price. Warehouses 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, Warehouses autocorrelation shows the relationship between Warehouses pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Warehouses De Pauw.
Regressed Prices |
| Timeline |
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Other Information on Investing in Warehouses Pink Sheet
Warehouses financial ratios help investors to determine whether Warehouses Pink Sheet 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 Warehouses with respect to the benefits of owning Warehouses security.