Stockland (Germany) Market Value
| LN1 Stock | EUR 2.80 0.02 0.71% |
| Symbol | Stockland |
Stockland '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 Stockland'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 Stockland.
| 01/01/2023 |
| 12/21/2024 |
If you would invest 0.00 in Stockland on January 1, 2023 and sell it all today you would earn a total of 0.00 from holding Stockland or generate 0.0% return on investment in Stockland over 720 days. Stockland is related to or competes with Crown Castle, Equinix, W P, Gaming, Lamar Advertising, DEXUS, and GPT. Stockland was founded in 1952 and has grown to become Australias largest diversified property group owning, developing a... More
Stockland 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 Stockland'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 Stockland upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.10) | |||
| Maximum Drawdown | 15.1 | |||
| Value At Risk | (3.22) | |||
| Potential Upside | 2.36 |
Stockland Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Stockland's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Stockland's standard deviation. In reality, there are many statistical measures that can use Stockland historical prices to predict the future Stockland's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.19) | |||
| Total Risk Alpha | (0.24) | |||
| Treynor Ratio | (0.45) |
Stockland Backtested Returns
Stockland owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0728, which indicates the firm had a -0.0728% return per unit of risk over the last 3 months. Stockland exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Stockland's Risk Adjusted Performance of (0.06), coefficient of variation of (1,153), and Variance of 3.98 to confirm the risk estimate we provide. The entity has a beta of 0.4, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Stockland's returns are expected to increase less than the market. However, during the bear market, the loss of holding Stockland is expected to be smaller as well. At this point, Stockland has a negative expected return of -0.14%. Please make sure to validate Stockland's total risk alpha, maximum drawdown, skewness, as well as the relationship between the treynor ratio and potential upside , to decide if Stockland performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.13 |
Insignificant reverse predictability
Stockland has insignificant reverse predictability. Overlapping area represents the amount of predictability between Stockland time series from 1st of January 2023 to 27th of December 2023 and 27th of December 2023 to 21st of December 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 Stockland price movement. The serial correlation of -0.13 indicates that less than 13.0% of current Stockland price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.13 | |
| Spearman Rank Test | 0.11 | |
| Residual Average | 0.0 | |
| Price Variance | 0.07 |
Stockland lagged returns against current returns
Autocorrelation, which is Stockland 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 Stockland's stock expected returns. We can calculate the autocorrelation of Stockland returns to help us make a trade decision. For example, suppose you find that Stockland 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 |
Stockland 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 Stockland stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Stockland stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Stockland stock over time.
Current vs Lagged Prices |
| Timeline |
Stockland Lagged Returns
When evaluating Stockland's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Stockland stock have on its future price. Stockland 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, Stockland autocorrelation shows the relationship between Stockland stock current value and its past values and can show if there is a momentum factor associated with investing in Stockland.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Stockland Stock
Stockland financial ratios help investors to determine whether Stockland 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 Stockland with respect to the benefits of owning Stockland security.