Warehouses De Pauw Stock Market Value
| WDPSF Stock | USD 30.57 0.07 0.23% |
| 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.
| 11/30/2025 |
| 02/28/2026 |
If you would invest 0.00 in Warehouses on November 30, 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 90 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 | 2.46 | |||
| Information Ratio | 0.1029 | |||
| Maximum Drawdown | 9.28 | |||
| Value At Risk | (2.20) | |||
| Potential Upside | 3.28 |
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 | 0.1267 | |||
| Jensen Alpha | 0.2612 | |||
| Total Risk Alpha | 0.0776 | |||
| Sortino Ratio | 0.0676 | |||
| Treynor Ratio | (1.30) |
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 February 28, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1267 | |||
| Market Risk Adjusted Performance | (1.29) | |||
| Mean Deviation | 0.9875 | |||
| Semi Deviation | 0.8975 | |||
| Downside Deviation | 2.46 | |||
| Coefficient Of Variation | 630.31 | |||
| Standard Deviation | 1.61 | |||
| Variance | 2.6 | |||
| Information Ratio | 0.1029 | |||
| Jensen Alpha | 0.2612 | |||
| Total Risk Alpha | 0.0776 | |||
| Sortino Ratio | 0.0676 | |||
| Treynor Ratio | (1.30) | |||
| Maximum Drawdown | 9.28 | |||
| Value At Risk | (2.20) | |||
| Potential Upside | 3.28 | |||
| Downside Variance | 6.04 | |||
| Semi Variance | 0.8055 | |||
| Expected Short fall | (2.43) | |||
| Skewness | 0.5055 | |||
| Kurtosis | 2.57 |
Warehouses De Pauw Backtested Returns
Warehouses appears to be very steady, given 3 months investment horizon. Warehouses De Pauw shows Sharpe Ratio of 0.2, which attests that the company had a 0.2 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Warehouses De Pauw, which you can use to evaluate the volatility of the company. Please utilize Warehouses' Mean Deviation of 0.9875, downside deviation of 2.46, and Market Risk Adjusted Performance of (1.29) to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Warehouses holds a performance score of 15. The firm maintains a market beta of -0.19, 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. Please check Warehouses' downside variance, as well as the relationship between the daily balance of power and period momentum indicator , to make a quick decision on whether Warehouses' historical returns will revert.
Auto-correlation | 0.77 |
Good predictability
Warehouses De Pauw has good predictability. Overlapping area represents the amount of predictability between Warehouses time series from 30th of November 2025 to 14th of January 2026 and 14th of January 2026 to 28th of February 2026. 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 0.77 indicates that around 77.0% of current Warehouses price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.77 | |
| Spearman Rank Test | 0.61 | |
| Residual Average | 0.0 | |
| Price Variance | 1.75 |
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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.