SAS AB (Denmark) Market Value
SAS-DKK Stock | DKK 0.02 0.0004 2.44% |
Symbol | SAS |
SAS AB '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 SAS AB'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 SAS AB.
03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in SAS AB on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding SAS AB or generate 0.0% return on investment in SAS AB over 30 days. SAS AB is related to or competes with Danske Bank, Bavarian Nordic, Ambu AS, FLSmidth, and ISS AS. SAS AB , together with its subsidiaries, provides passenger flight transportation services in the Nordic and internation... More
SAS AB 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 SAS AB'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 SAS AB upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 10.26 | |||
Information Ratio | 0.0587 | |||
Maximum Drawdown | 147.46 | |||
Value At Risk | (18.60) | |||
Potential Upside | 15.0 |
SAS AB Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SAS AB's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SAS AB's standard deviation. In reality, there are many statistical measures that can use SAS AB historical prices to predict the future SAS AB's volatility.Risk Adjusted Performance | 0.0483 | |||
Jensen Alpha | 1.19 | |||
Total Risk Alpha | (0.61) | |||
Sortino Ratio | 0.1057 | |||
Treynor Ratio | (1.49) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SAS AB'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.
SAS AB Backtested Returns
SAS AB is out of control given 3 months investment horizon. SAS AB owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0839, which indicates the company had a 0.0839% return per unit of standard deviation over the last 3 months. We were able to break down twenty-nine different technical indicators, which can help you to evaluate if expected returns of 1.58% are justified by taking the suggested risk. Use SAS AB Market Risk Adjusted Performance of (1.48), risk adjusted performance of 0.0483, and Downside Deviation of 10.26 to evaluate company specific risk that cannot be diversified away. SAS AB holds a performance score of 6 on a scale of zero to a hundred. The firm has a beta of -0.77, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning SAS AB are expected to decrease at a much lower rate. During the bear market, SAS AB is likely to outperform the market. Use SAS AB treynor ratio, value at risk, downside variance, as well as the relationship between the maximum drawdown and potential upside , to analyze future returns on SAS AB.
Auto-correlation | 0.86 |
Very good predictability
SAS AB has very good predictability. Overlapping area represents the amount of predictability between SAS AB time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th 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 SAS AB price movement. The serial correlation of 0.86 indicates that approximately 86.0% of current SAS AB price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.86 | |
Spearman Rank Test | 0.6 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
SAS AB lagged returns against current returns
Autocorrelation, which is SAS AB 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 SAS AB's stock expected returns. We can calculate the autocorrelation of SAS AB returns to help us make a trade decision. For example, suppose you find that SAS AB 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 |
SAS AB 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 SAS AB stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SAS AB stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SAS AB stock over time.
Current vs Lagged Prices |
Timeline |
SAS AB Lagged Returns
When evaluating SAS AB's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SAS AB stock have on its future price. SAS AB 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, SAS AB autocorrelation shows the relationship between SAS AB stock current value and its past values and can show if there is a momentum factor associated with investing in SAS AB.
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 SAS AB 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, SAS AB's short interest history, or implied volatility extrapolated from SAS AB options trading.
Currently Active Assets on Macroaxis
When determining whether SAS AB is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if SAS Stock is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Sas Ab Stock. Highlighted below are key reports to facilitate an investment decision about Sas Ab Stock:Check out SAS AB Correlation, SAS AB Volatility and SAS AB Alpha and Beta module to complement your research on SAS AB. For more information on how to buy SAS Stock please use our How to buy in SAS Stock guide.Note that the SAS AB information on this page should be used as a complementary analysis to other SAS AB's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
Complementary Tools for SAS Stock analysis
When running SAS AB's price analysis, check to measure SAS AB'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 SAS AB is operating at the current time. Most of SAS AB's value examination focuses on studying past and present price action to predict the probability of SAS AB's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SAS AB's price. Additionally, you may evaluate how the addition of SAS AB to your portfolios can decrease your overall portfolio volatility.
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SAS AB 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.