GPT (Germany) Market Value
| 46T Stock | EUR 2.82 0.02 0.70% |
| Symbol | GPT |
GPT '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 GPT'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 GPT.
| 06/03/2024 |
| 11/30/2024 |
If you would invest 0.00 in GPT on June 3, 2024 and sell it all today you would earn a total of 0.00 from holding GPT Group or generate 0.0% return on investment in GPT over 180 days. GPT is related to or competes with AUSNUTRIA DAIRY, SENECA FOODS-A, DICKS Sporting, Austevoll Seafood, Transport International, TYSON FOODS, and Cal-Maine Foods. The GPT Group is one of Australias largest diversified property groups and a top 50 ASX listed company by market capital... More
GPT 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 GPT'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 GPT Group upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.96 | |||
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 17.18 | |||
| Value At Risk | (6.12) | |||
| Potential Upside | 6.73 |
GPT Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for GPT's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as GPT's standard deviation. In reality, there are many statistical measures that can use GPT historical prices to predict the future GPT's volatility.| Risk Adjusted Performance | 0.0129 | |||
| Jensen Alpha | 0.0069 | |||
| Total Risk Alpha | (0.48) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | 0.3246 |
GPT Group Backtested Returns
GPT Group holds Efficiency (Sharpe) Ratio of -0.0106, which attests that the entity had a -0.0106% return per unit of volatility over the last 3 months. GPT Group exposes twenty-eight different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out GPT's risk adjusted performance of 0.0129, and Market Risk Adjusted Performance of 0.3346 to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 0.035, which attests to not very significant fluctuations relative to the market. As returns on the market increase, GPT's returns are expected to increase less than the market. However, during the bear market, the loss of holding GPT is expected to be smaller as well. At this point, GPT Group has a negative expected return of -0.0282%. Please make sure to check out GPT's total risk alpha, treynor ratio, and the relationship between the jensen alpha and sortino ratio , to decide if GPT Group performance from the past will be repeated at future time.
Auto-correlation | -0.66 |
Very good reverse predictability
GPT Group has very good reverse predictability. Overlapping area represents the amount of predictability between GPT time series from 3rd of June 2024 to 1st of September 2024 and 1st of September 2024 to 30th 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 GPT Group price movement. The serial correlation of -0.66 indicates that around 66.0% of current GPT price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.66 | |
| Spearman Rank Test | -0.59 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
GPT Group lagged returns against current returns
Autocorrelation, which is GPT 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 GPT's stock expected returns. We can calculate the autocorrelation of GPT returns to help us make a trade decision. For example, suppose you find that GPT 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 |
GPT 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 GPT stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if GPT stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in GPT stock over time.
Current vs Lagged Prices |
| Timeline |
GPT Lagged Returns
When evaluating GPT's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of GPT stock have on its future price. GPT 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, GPT autocorrelation shows the relationship between GPT stock current value and its past values and can show if there is a momentum factor associated with investing in GPT Group.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in GPT Stock
GPT financial ratios help investors to determine whether GPT 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 GPT with respect to the benefits of owning GPT security.