DOLLAR TREE INC Market Value
256746AH1 | 96.97 0.57 0.58% |
Symbol | DOLLAR |
DOLLAR '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 DOLLAR'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 DOLLAR.
01/08/2023 |
| 12/28/2024 |
If you would invest 0.00 in DOLLAR on January 8, 2023 and sell it all today you would earn a total of 0.00 from holding DOLLAR TREE INC or generate 0.0% return on investment in DOLLAR over 720 days. DOLLAR is related to or competes with Electronic Arts, Vindicator Silver, Boyd Gaming, Griffon, Parker Hannifin, ReTo Eco, and Dream Finders. More
DOLLAR 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 DOLLAR'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 DOLLAR TREE INC upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.08) | |||
Maximum Drawdown | 4.75 | |||
Value At Risk | (0.66) | |||
Potential Upside | 0.9015 |
DOLLAR Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for DOLLAR's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as DOLLAR's standard deviation. In reality, there are many statistical measures that can use DOLLAR historical prices to predict the future DOLLAR's volatility.Risk Adjusted Performance | (0.03) | |||
Jensen Alpha | (0.03) | |||
Total Risk Alpha | (0.05) | |||
Treynor Ratio | (1.87) |
DOLLAR TREE INC Backtested Returns
DOLLAR TREE INC secures Sharpe Ratio (or Efficiency) of -0.0625, which denotes the bond had a -0.0625% return per unit of risk over the last 3 months. DOLLAR TREE INC exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm DOLLAR's Standard Deviation of 0.7212, mean deviation of 0.3687, and Coefficient Of Variation of (2,960) to check the risk estimate we provide. The bond shows a Beta (market volatility) of 0.0184, which means not very significant fluctuations relative to the market. As returns on the market increase, DOLLAR's returns are expected to increase less than the market. However, during the bear market, the loss of holding DOLLAR is expected to be smaller as well.
Auto-correlation | -0.51 |
Good reverse predictability
DOLLAR TREE INC has good reverse predictability. Overlapping area represents the amount of predictability between DOLLAR time series from 8th of January 2023 to 3rd of January 2024 and 3rd of January 2024 to 28th of December 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 DOLLAR TREE INC price movement. The serial correlation of -0.51 indicates that about 51.0% of current DOLLAR price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.51 | |
Spearman Rank Test | -0.38 | |
Residual Average | 0.0 | |
Price Variance | 0.93 |
DOLLAR TREE INC lagged returns against current returns
Autocorrelation, which is DOLLAR 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 DOLLAR's bond expected returns. We can calculate the autocorrelation of DOLLAR returns to help us make a trade decision. For example, suppose you find that DOLLAR 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 |
DOLLAR 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 DOLLAR bond is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if DOLLAR bond is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in DOLLAR bond over time.
Current vs Lagged Prices |
Timeline |
DOLLAR Lagged Returns
When evaluating DOLLAR's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of DOLLAR bond have on its future price. DOLLAR 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, DOLLAR autocorrelation shows the relationship between DOLLAR bond current value and its past values and can show if there is a momentum factor associated with investing in DOLLAR TREE INC.
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 DOLLAR Bond
DOLLAR financial ratios help investors to determine whether DOLLAR 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 DOLLAR with respect to the benefits of owning DOLLAR security.