GFL ENVIRONM(SUBVTSH (Germany) Market Value
| 36E Stock | EUR 43.60 0.60 1.36% |
| Symbol | GFL |
GFL ENVIRONM(SUBVTSH '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 GFL ENVIRONM(SUBVTSH'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 GFL ENVIRONM(SUBVTSH.
| 01/09/2023 |
| 11/29/2024 |
If you would invest 0.00 in GFL ENVIRONM(SUBVTSH on January 9, 2023 and sell it all today you would earn a total of 0.00 from holding GFL ENVIRONM or generate 0.0% return on investment in GFL ENVIRONM(SUBVTSH over 690 days. GFL ENVIRONM(SUBVTSH is related to or competes with CHINA EDUCATION, USWE SPORTS, Transport International, Big 5, DICKS Sporting, SPORT LISBOA, and EMBARK EDUCATION. GFL Environmental Inc. operates as a diversified environmental services company in Canada and the United States More
GFL ENVIRONM(SUBVTSH 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 GFL ENVIRONM(SUBVTSH'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 GFL ENVIRONM upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.89 | |||
| Information Ratio | 0.0523 | |||
| Maximum Drawdown | 7.48 | |||
| Value At Risk | (2.76) | |||
| Potential Upside | 3.05 |
GFL ENVIRONM(SUBVTSH Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for GFL ENVIRONM(SUBVTSH's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as GFL ENVIRONM(SUBVTSH's standard deviation. In reality, there are many statistical measures that can use GFL ENVIRONM(SUBVTSH historical prices to predict the future GFL ENVIRONM(SUBVTSH's volatility.| Risk Adjusted Performance | 0.1015 | |||
| Jensen Alpha | 0.1222 | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | 0.0476 | |||
| Treynor Ratio | 0.2844 |
GFL ENVIRONM(SUBVTSH Backtested Returns
At this point, GFL ENVIRONM(SUBVTSH is very steady. GFL ENVIRONM(SUBVTSH holds Efficiency (Sharpe) Ratio of 0.11, which attests that the entity had a 0.11% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for GFL ENVIRONM(SUBVTSH, which you can use to evaluate the volatility of the firm. Please check out GFL ENVIRONM(SUBVTSH's Semi Deviation of 1.45, market risk adjusted performance of 0.2944, and Risk Adjusted Performance of 0.1015 to validate if the risk estimate we provide is consistent with the expected return of 0.19%.GFL ENVIRONM(SUBVTSH has a performance score of 8 on a scale of 0 to 100. The company retains a Market Volatility (i.e., Beta) of 0.72, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, GFL ENVIRONM(SUBVTSH's returns are expected to increase less than the market. However, during the bear market, the loss of holding GFL ENVIRONM(SUBVTSH is expected to be smaller as well. GFL ENVIRONM(SUBVTSH now retains a risk of 1.74%. Please check out GFL ENVIRONM(SUBVTSH coefficient of variation, jensen alpha, and the relationship between the downside deviation and information ratio , to decide if GFL ENVIRONM(SUBVTSH will be following its current trending patterns.
Auto-correlation | -0.46 |
Modest reverse predictability
GFL ENVIRONM has modest reverse predictability. Overlapping area represents the amount of predictability between GFL ENVIRONM(SUBVTSH time series from 9th of January 2023 to 20th of December 2023 and 20th of December 2023 to 29th 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 GFL ENVIRONM(SUBVTSH price movement. The serial correlation of -0.46 indicates that about 46.0% of current GFL ENVIRONM(SUBVTSH price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.46 | |
| Spearman Rank Test | -0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 13.0 |
GFL ENVIRONM(SUBVTSH lagged returns against current returns
Autocorrelation, which is GFL ENVIRONM(SUBVTSH 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 GFL ENVIRONM(SUBVTSH's stock expected returns. We can calculate the autocorrelation of GFL ENVIRONM(SUBVTSH returns to help us make a trade decision. For example, suppose you find that GFL ENVIRONM(SUBVTSH 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 |
GFL ENVIRONM(SUBVTSH 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 GFL ENVIRONM(SUBVTSH stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if GFL ENVIRONM(SUBVTSH stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in GFL ENVIRONM(SUBVTSH stock over time.
Current vs Lagged Prices |
| Timeline |
GFL ENVIRONM(SUBVTSH Lagged Returns
When evaluating GFL ENVIRONM(SUBVTSH's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of GFL ENVIRONM(SUBVTSH stock have on its future price. GFL ENVIRONM(SUBVTSH 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, GFL ENVIRONM(SUBVTSH autocorrelation shows the relationship between GFL ENVIRONM(SUBVTSH stock current value and its past values and can show if there is a momentum factor associated with investing in GFL ENVIRONM.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in GFL Stock
GFL ENVIRONM(SUBVTSH financial ratios help investors to determine whether GFL 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 GFL with respect to the benefits of owning GFL ENVIRONM(SUBVTSH security.