ATMOS ENERGY P Market Value
049560AN5 | 93.26 2.88 3.00% |
Symbol | ATMOS |
ATMOS '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 ATMOS'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 ATMOS.
11/21/2024 |
| 12/21/2024 |
If you would invest 0.00 in ATMOS on November 21, 2024 and sell it all today you would earn a total of 0.00 from holding ATMOS ENERGY P or generate 0.0% return on investment in ATMOS over 30 days. ATMOS is related to or competes with Weyco, SmartStop Self, GMS, Sea, Paltalk, SunOpta, and SunLink Health. More
ATMOS 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 ATMOS'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 ATMOS ENERGY P upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.12) | |||
Maximum Drawdown | 2.98 | |||
Value At Risk | (1.36) | |||
Potential Upside | 0.6757 |
ATMOS Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ATMOS's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ATMOS's standard deviation. In reality, there are many statistical measures that can use ATMOS historical prices to predict the future ATMOS's volatility.Risk Adjusted Performance | (0.06) | |||
Jensen Alpha | (0.08) | |||
Total Risk Alpha | (0.1) | |||
Treynor Ratio | (5.57) |
ATMOS ENERGY P Backtested Returns
ATMOS ENERGY P secures Sharpe Ratio (or Efficiency) of -0.12, which signifies that the bond had a -0.12% return per unit of return volatility over the last 3 months. ATMOS ENERGY P exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm ATMOS's Mean Deviation of 0.4018, risk adjusted performance of (0.06), and Coefficient Of Variation of (1,223) to double-check the risk estimate we provide. The bond shows a Beta (market volatility) of 0.0137, which signifies not very significant fluctuations relative to the market. As returns on the market increase, ATMOS's returns are expected to increase less than the market. However, during the bear market, the loss of holding ATMOS is expected to be smaller as well.
Auto-correlation | -0.7 |
Very good reverse predictability
ATMOS ENERGY P has very good reverse predictability. Overlapping area represents the amount of predictability between ATMOS time series from 21st of November 2024 to 6th of December 2024 and 6th of December 2024 to 21st 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 ATMOS ENERGY P price movement. The serial correlation of -0.7 indicates that around 70.0% of current ATMOS price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.7 | |
Spearman Rank Test | -0.72 | |
Residual Average | 0.0 | |
Price Variance | 1.2 |
ATMOS ENERGY P lagged returns against current returns
Autocorrelation, which is ATMOS 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 ATMOS's bond expected returns. We can calculate the autocorrelation of ATMOS returns to help us make a trade decision. For example, suppose you find that ATMOS 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 |
ATMOS 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 ATMOS bond is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ATMOS bond is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ATMOS bond over time.
Current vs Lagged Prices |
Timeline |
ATMOS Lagged Returns
When evaluating ATMOS's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ATMOS bond have on its future price. ATMOS 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, ATMOS autocorrelation shows the relationship between ATMOS bond current value and its past values and can show if there is a momentum factor associated with investing in ATMOS ENERGY P.
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 ATMOS Bond
ATMOS financial ratios help investors to determine whether ATMOS 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 ATMOS with respect to the benefits of owning ATMOS security.