Austrian Traded (Austria) Market Value

ATX Index   3,538  30.41  0.87%   
Austrian Traded's market value is the price at which a share of Austrian Traded trades on a public exchange. It measures the collective expectations of Austrian Traded Index investors about its performance. Austrian Traded is listed at 3538.38 as of the 19th of April 2024, which is a 0.87 percent up since the beginning of the trading day. The index's lowest day price was 3508.73.
With this module, you can estimate the performance of a buy and hold strategy of Austrian Traded Index and determine expected loss or profit from investing in Austrian Traded over a given investment horizon. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any index could be tightly coupled with the direction of predictive economic indicators such as signals in gross domestic product.

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.
No Change 0.00  0.0 
In 2 months and 1 day
If you would invest  0.00  in Austrian Traded on February 19, 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 60 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.

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.
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 0.14, which signifies that the index had a 0.14% return per unit of risk over the last 3 months. We have found twenty-seven 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.



Good reverse predictability

Austrian Traded Index has good reverse predictability. Overlapping area represents the amount of predictability between Austrian Traded time series from 19th of February 2024 to 20th of March 2024 and 20th of March 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 Austrian Traded Index price movement. The serial correlation of -0.51 indicates that about 51.0% of current Austrian Traded price fluctuation can be explain by its past prices.
Correlation Coefficient-0.51
Spearman Rank Test-0.12
Residual Average0.0
Price Variance1265.92

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   

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   

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   

Pair Trading with Austrian Traded

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 Austrian Traded 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 Austrian Traded will appreciate offsetting losses from the drop in the long position's value.

Moving together with Austrian Index

  0.7JD JD IncPairCorr

Moving against Austrian Index

  0.62ABIN Anheuser Busch InBevPairCorr
The ability to find closely correlated positions to Austrian Traded could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Austrian Traded 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 Austrian Traded - 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 Austrian Traded Index to buy it.
The correlation of Austrian Traded 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 Austrian Traded moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Austrian Traded Index 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 Austrian Traded 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.
Pair CorrelationCorrelation Matching
Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any index could be tightly coupled with the direction of predictive economic indicators such as signals in gross domestic product.
You can also try the Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
Austrian Traded technical index 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, index market cycles, or different charting patterns.
A focus of Austrian Traded technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Austrian Traded trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...