Austrian Traded (Austria) Market Value
ATX Index | 3,672 2.52 0.07% |
Symbol | Austrian |
Austrian Traded '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 Austrian Traded's index 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 Austrian Traded.
04/28/2024 |
| 07/27/2024 |
If you would invest 0.00 in Austrian Traded on April 28, 2024 and sell it all today you would earn a total of 0.00 from holding Austrian Traded Index or generate 0.0% return on investment in Austrian Traded over 90 days.
Austrian Traded 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 Austrian Traded's index 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 Austrian Traded Index upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.8117 | |||
Information Ratio | (0.05) | |||
Maximum Drawdown | 3.28 | |||
Value At Risk | (1.57) | |||
Potential Upside | 1.02 |
Austrian Traded Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Austrian Traded's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Austrian Traded's standard deviation. In reality, there are many statistical measures that can use Austrian Traded historical prices to predict the future Austrian Traded's volatility.Risk Adjusted Performance | 0.0463 | |||
Total Risk Alpha | (0.04) | |||
Sortino Ratio | (0.04) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Austrian Traded'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.
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Austrian Traded. Your research has to be compared to or analyzed against Austrian Traded's peers to derive any actionable benefits. When done correctly, Austrian Traded's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Austrian Traded Index.
Austrian Traded Index Backtested Returns
Austrian Traded Index secures Sharpe Ratio (or Efficiency) of 0.0674, which signifies that the index had a 0.0674% return per unit of risk over the last 3 months. We have found twenty-six technical indicators for Austrian Traded Index, which you can use to evaluate the volatility of the entity. The index shows a Beta (market volatility) of 0.0, which signifies not very significant fluctuations relative to the market. the returns on MARKET and Austrian Traded are completely uncorrelated.
Auto-correlation | 0.41 |
Average predictability
Austrian Traded Index has average predictability. Overlapping area represents the amount of predictability between Austrian Traded time series from 28th of April 2024 to 12th of June 2024 and 12th of June 2024 to 27th of July 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 Austrian Traded Index price movement. The serial correlation of 0.41 indicates that just about 41.0% of current Austrian Traded price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.41 | |
Spearman Rank Test | 0.14 | |
Residual Average | 0.0 | |
Price Variance | 2113.7 |
Austrian Traded Index lagged returns against current returns
Autocorrelation, which is Austrian Traded index'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 Austrian Traded's index expected returns. We can calculate the autocorrelation of Austrian Traded returns to help us make a trade decision. For example, suppose you find that Austrian Traded has exhibited high autocorrelation historically, and you observe that the index 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 |
Austrian Traded 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 Austrian Traded index is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Austrian Traded index is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Austrian Traded index over time.
Current vs Lagged Prices |
Timeline |
Austrian Traded Lagged Returns
When evaluating Austrian Traded's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Austrian Traded index have on its future price. Austrian Traded 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, Austrian Traded autocorrelation shows the relationship between Austrian Traded index current value and its past values and can show if there is a momentum factor associated with investing in Austrian Traded Index.
Regressed Prices |
Timeline |