Waste Management (Germany) Market Value
| UWS Stock | 214.35 0.35 0.16% |
| Symbol | Waste |
Waste Management '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 Waste Management'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 Waste Management.
| 10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in Waste Management on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding Waste Management or generate 0.0% return on investment in Waste Management over 30 days. Waste Management is related to or competes with PLAYTIKA HOLDING, Natural Health, Universal Display, National Health, and Ramsay Health. More
Waste Management 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 Waste Management'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 Waste Management upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9649 | |||
| Information Ratio | 0.0778 | |||
| Maximum Drawdown | 7.06 | |||
| Value At Risk | (1.60) | |||
| Potential Upside | 2.13 |
Waste Management Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Waste Management's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Waste Management's standard deviation. In reality, there are many statistical measures that can use Waste Management historical prices to predict the future Waste Management's volatility.| Risk Adjusted Performance | 0.1448 | |||
| Jensen Alpha | 0.1332 | |||
| Total Risk Alpha | 0.0225 | |||
| Sortino Ratio | 0.0995 | |||
| Treynor Ratio | 0.3134 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Waste Management's 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.
Waste Management Backtested Returns
Waste Management appears to be very steady, given 3 months investment horizon. Waste Management shows Sharpe Ratio of 0.17, which attests that the company had a 0.17% return per unit of risk over the last 3 months. We have found thirty technical indicators for Waste Management, which you can use to evaluate the volatility of the company. Please utilize Waste Management's Mean Deviation of 0.8832, market risk adjusted performance of 0.3234, and Downside Deviation of 0.9649 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Waste Management holds a performance score of 13. The firm maintains a market beta of 0.69, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Waste Management's returns are expected to increase less than the market. However, during the bear market, the loss of holding Waste Management is expected to be smaller as well. Please check Waste Management's skewness, and the relationship between the potential upside and rate of daily change , to make a quick decision on whether Waste Management's historical returns will revert.
Auto-correlation | 0.60 |
Good predictability
Waste Management has good predictability. Overlapping area represents the amount of predictability between Waste Management time series from 27th of October 2024 to 11th of November 2024 and 11th of November 2024 to 26th 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 Waste Management price movement. The serial correlation of 0.6 indicates that roughly 60.0% of current Waste Management price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.6 | |
| Spearman Rank Test | 0.17 | |
| Residual Average | 0.0 | |
| Price Variance | 11.32 |
Waste Management lagged returns against current returns
Autocorrelation, which is Waste Management 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 Waste Management's stock expected returns. We can calculate the autocorrelation of Waste Management returns to help us make a trade decision. For example, suppose you find that Waste Management 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 |
Waste Management 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 Waste Management stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Waste Management stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Waste Management stock over time.
Current vs Lagged Prices |
| Timeline |
Waste Management Lagged Returns
When evaluating Waste Management's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Waste Management stock have on its future price. Waste Management 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, Waste Management autocorrelation shows the relationship between Waste Management stock current value and its past values and can show if there is a momentum factor associated with investing in Waste Management.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for Waste Stock Analysis
When running Waste Management's price analysis, check to measure Waste Management's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Waste Management is operating at the current time. Most of Waste Management's value examination focuses on studying past and present price action to predict the probability of Waste Management's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Waste Management's price. Additionally, you may evaluate how the addition of Waste Management to your portfolios can decrease your overall portfolio volatility.