Waste Pro USA Market Value
| 94107JAA1 | 96.50 3.35 3.36% |
| Symbol | Waste |
Waste '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's bond 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.
| 09/30/2024 |
| 11/29/2024 |
If you would invest 0.00 in Waste on September 30, 2024 and sell it all today you would earn a total of 0.00 from holding Waste Pro USA or generate 0.0% return on investment in Waste over 60 days. Waste is related to or competes with Compania Cervecerias, Universal, Boston Beer, Precision Drilling, Constellation Brands, Westrock Coffee, and Willamette Valley. More
Waste 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's bond 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 Pro USA upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 7.99 | |||
| Value At Risk | (0.45) | |||
| Potential Upside | 0.365 |
Waste Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Waste's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Waste's standard deviation. In reality, there are many statistical measures that can use Waste historical prices to predict the future Waste's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.21) | |||
| Treynor Ratio | (2.00) |
Waste Pro USA Backtested Returns
Waste Pro USA shows Sharpe Ratio of -0.13, which attests that the bond had a -0.13% return per unit of risk over the last 3 months. Waste Pro USA exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Waste's Market Risk Adjusted Performance of (1.99), mean deviation of 0.3857, and Standard Deviation of 1.17 to validate the risk estimate we provide. The entity maintains a market beta of 0.0173, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Waste's returns are expected to increase less than the market. However, during the bear market, the loss of holding Waste is expected to be smaller as well.
Auto-correlation | 0.11 |
Insignificant predictability
Waste Pro USA has insignificant predictability. Overlapping area represents the amount of predictability between Waste time series from 30th of September 2024 to 30th of October 2024 and 30th of October 2024 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 Waste Pro USA price movement. The serial correlation of 0.11 indicates that less than 11.0% of current Waste price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.11 | |
| Spearman Rank Test | 0.17 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Waste Pro USA lagged returns against current returns
Autocorrelation, which is Waste bond'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's bond expected returns. We can calculate the autocorrelation of Waste returns to help us make a trade decision. For example, suppose you find that Waste has exhibited high autocorrelation historically, and you observe that the bond 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 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 bond is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Waste bond is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Waste bond over time.
Current vs Lagged Prices |
| Timeline |
Waste Lagged Returns
When evaluating Waste's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Waste bond have on its future price. Waste 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 autocorrelation shows the relationship between Waste bond current value and its past values and can show if there is a momentum factor associated with investing in Waste Pro USA.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in Waste Bond
Waste financial ratios help investors to determine whether Waste Bond 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 security.