AUTOMATIC DATA PROCESSING Market Value
| 053015AF0 | 81.43 1.57 1.89% |
| Symbol | AUTOMATIC |
AUTOMATIC '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 AUTOMATIC'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 AUTOMATIC.
| 01/03/2025 |
| 02/02/2025 |
If you would invest 0.00 in AUTOMATIC on January 3, 2025 and sell it all today you would earn a total of 0.00 from holding AUTOMATIC DATA PROCESSING or generate 0.0% return on investment in AUTOMATIC over 30 days. AUTOMATIC is related to or competes with FlyExclusive,, Virgin Group, Lindblad Expeditions, Saia, Ihuman, LB Foster, and Toro. More
AUTOMATIC 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 AUTOMATIC'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 AUTOMATIC DATA PROCESSING upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 10.3 | |||
| Value At Risk | (2.02) | |||
| Potential Upside | 1.89 |
AUTOMATIC Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for AUTOMATIC's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as AUTOMATIC's standard deviation. In reality, there are many statistical measures that can use AUTOMATIC historical prices to predict the future AUTOMATIC's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.15) | |||
| Treynor Ratio | 0.2313 |
AUTOMATIC DATA PROCESSING Backtested Returns
AUTOMATIC DATA PROCESSING secures Sharpe Ratio (or Efficiency) of -0.0521, which signifies that the bond had a -0.0521 % return per unit of risk over the last 3 months. AUTOMATIC DATA PROCESSING exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm AUTOMATIC's mean deviation of 0.6697, and Risk Adjusted Performance of (0.01) to double-check the risk estimate we provide. The bond shows a Beta (market volatility) of -0.17, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning AUTOMATIC are expected to decrease at a much lower rate. During the bear market, AUTOMATIC is likely to outperform the market.
Auto-correlation | -0.45 |
Modest reverse predictability
AUTOMATIC DATA PROCESSING has modest reverse predictability. Overlapping area represents the amount of predictability between AUTOMATIC time series from 3rd of January 2025 to 18th of January 2025 and 18th of January 2025 to 2nd of February 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 AUTOMATIC DATA PROCESSING price movement. The serial correlation of -0.45 indicates that just about 45.0% of current AUTOMATIC price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.45 | |
| Spearman Rank Test | -0.08 | |
| Residual Average | 0.0 | |
| Price Variance | 0.39 |
AUTOMATIC DATA PROCESSING lagged returns against current returns
Autocorrelation, which is AUTOMATIC 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 AUTOMATIC's bond expected returns. We can calculate the autocorrelation of AUTOMATIC returns to help us make a trade decision. For example, suppose you find that AUTOMATIC 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 |
AUTOMATIC 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 AUTOMATIC bond is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if AUTOMATIC bond is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in AUTOMATIC bond over time.
Current vs Lagged Prices |
| Timeline |
AUTOMATIC Lagged Returns
When evaluating AUTOMATIC's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of AUTOMATIC bond have on its future price. AUTOMATIC 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, AUTOMATIC autocorrelation shows the relationship between AUTOMATIC bond current value and its past values and can show if there is a momentum factor associated with investing in AUTOMATIC DATA PROCESSING.
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 AUTOMATIC Bond
AUTOMATIC financial ratios help investors to determine whether AUTOMATIC 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 AUTOMATIC with respect to the benefits of owning AUTOMATIC security.