Waste Management, Stock Market Value
| WAST Stock | 21.78 0.14 0.64% |
| 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,.
| 04/22/2025 |
| 07/21/2025 |
If you would invest 0.00 in Waste Management, on April 22, 2025 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 90 days. Waste Management, is related to or competes with Salesforce, North American, National Bank, Laurentian Bank, Royal Bank, and Toronto Dominion. Waste Management, is entity of Canada. It is traded as Stock on NEO exchange. 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.
| Information Ratio | (0.20) | |||
| Maximum Drawdown | 4.48 | |||
| Value At Risk | (1.99) | |||
| Potential Upside | 1.76 |
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 | (0.06) | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.24) | |||
| Treynor Ratio | 0.367 |
Waste Management, Backtested Returns
Waste Management, shows Sharpe Ratio of -0.0725, which attests that the company had a -0.0725 % return per unit of risk over the last 3 months. Waste Management, exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Waste Management,'s Mean Deviation of 0.7284, standard deviation of 1.1, and Market Risk Adjusted Performance of 0.377 to validate the risk estimate we provide. The firm maintains a market beta of -0.21, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Waste Management, are expected to decrease at a much lower rate. During the bear market, Waste Management, is likely to outperform the market. At this point, Waste Management, has a negative expected return of -0.078%. Please make sure to check out Waste Management,'s potential upside, kurtosis, daily balance of power, as well as the relationship between the skewness and accumulation distribution , to decide if Waste Management, performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.65 |
Very good reverse predictability
Waste Management, has very good reverse predictability. Overlapping area represents the amount of predictability between Waste Management, time series from 22nd of April 2025 to 6th of June 2025 and 6th of June 2025 to 21st of July 2025. 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 -0.65 indicates that roughly 65.0% of current Waste Management, price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.65 | |
| Spearman Rank Test | -0.7 | |
| Residual Average | 0.0 | |
| Price Variance | 0.14 |
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 |
Pair Trading with Waste Management,
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Waste Management, position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Waste Management, will appreciate offsetting losses from the drop in the long position's value.Moving together with Waste Stock
Moving against Waste Stock
The ability to find closely correlated positions to Waste Management, could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Waste Management, when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Waste Management, - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Waste Management, to buy it.
The correlation of Waste Management, is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Waste Management, moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Waste Management, moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Waste Management, can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Other Information on Investing in Waste Stock
Waste Management, financial ratios help investors to determine whether Waste 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 Waste with respect to the benefits of owning Waste Management, security.