AT S (Austria) Market Value
| ATS Stock | EUR 19.62 0.04 0.20% |
| Symbol | ATS |
AT S '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 AT S'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 AT S.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in AT S on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding AT S Austria or generate 0.0% return on investment in AT S over 30 days. AT S is related to or competes with Voestalpine, Lenzing Aktiengesellscha, Andritz AG, OMV Aktiengesellscha, and Wienerberger. AT S Austria Technologie Systemtechnik Aktiengesellschaft, together with its subsidiaries, manufactures and distributes ... More
AT S 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 AT S'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 AT S Austria upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 11.08 | |||
| Value At Risk | (3.83) | |||
| Potential Upside | 3.67 |
AT S Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for AT S's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as AT S's standard deviation. In reality, there are many statistical measures that can use AT S historical prices to predict the future AT S's volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.26) | |||
| Total Risk Alpha | (0.62) | |||
| Treynor Ratio | 3.57 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of AT S's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
AT S Austria Backtested Returns
AT S Austria retains Efficiency (Sharpe Ratio) of -0.11, which signifies that the company had a -0.11% return per unit of price deviation over the last 3 months. AT S exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm AT S's Variance of 7.36, market risk adjusted performance of 3.58, and Information Ratio of (0.13) to double-check the risk estimate we provide. The firm owns a Beta (Systematic Risk) of -0.075, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning AT S are expected to decrease at a much lower rate. During the bear market, AT S is likely to outperform the market. AT S Austria has an expected return of -0.25%. Please make sure to confirm AT S Austria treynor ratio, and the relationship between the standard deviation and kurtosis , to decide if AT S Austria performance from the past will be repeated sooner or later.
Auto-correlation | -0.37 |
Poor reverse predictability
AT S Austria has poor reverse predictability. Overlapping area represents the amount of predictability between AT S time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th of April 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 AT S Austria price movement. The serial correlation of -0.37 indicates that just about 37.0% of current AT S price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.37 | |
| Spearman Rank Test | -0.56 | |
| Residual Average | 0.0 | |
| Price Variance | 0.23 |
AT S Austria lagged returns against current returns
Autocorrelation, which is AT S 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 AT S's stock expected returns. We can calculate the autocorrelation of AT S returns to help us make a trade decision. For example, suppose you find that AT S 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 |
AT S 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 AT S stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if AT S stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in AT S stock over time.
Current vs Lagged Prices |
| Timeline |
AT S Lagged Returns
When evaluating AT S's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of AT S stock have on its future price. AT S 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, AT S autocorrelation shows the relationship between AT S stock current value and its past values and can show if there is a momentum factor associated with investing in AT S Austria.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards AT S in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, AT S's short interest history, or implied volatility extrapolated from AT S options trading.
Pair Trading with AT S
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 AT S 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 AT S will appreciate offsetting losses from the drop in the long position's value.Moving together with ATS Stock
| 0.84 | MMK | Mayr Melnhof Karton | PairCorr |
Moving against ATS Stock
| 0.89 | EXO | Exor NV | PairCorr |
| 0.82 | SWUT | SW Umwelttechnik Stoiser | PairCorr |
| 0.57 | OMV | OMV Aktiengesellschaft Earnings Call This Week | PairCorr |
The ability to find closely correlated positions to AT S could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace AT S 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 AT S - 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 AT S Austria to buy it.
The correlation of AT S 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 AT S moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if AT S Austria 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 AT S 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.Check out AT S Correlation, AT S Volatility and AT S Alpha and Beta module to complement your research on AT S. You can also try the Fundamental Analysis module to view fundamental data based on most recent published financial statements.
Complementary Tools for ATS Stock analysis
When running AT S's price analysis, check to measure AT S's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy AT S is operating at the current time. Most of AT S's value examination focuses on studying past and present price action to predict the probability of AT S's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move AT S's price. Additionally, you may evaluate how the addition of AT S to your portfolios can decrease your overall portfolio volatility.
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AT S technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.