# Austrian Traded (Austria) Market Value

ATX Index | 3,379 30.45 0.91% |

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.

03/15/2022 |
| 03/04/2024 |

If you would invest

**0.00**in Austrian Traded on**March 15, 2022**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**720**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 | 0.6486 | |||

Information Ratio | (0.17) | |||

Maximum Drawdown | 3.45 | |||

Value At Risk | (1.01) | |||

Potential Upside | 1.03 |

## 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 | 0.0521 | |||

Total Risk Alpha | (0.11) | |||

Sortino Ratio | (0.17) |

Sophisticated investors, who have witnessed many market ups and downs, frequently view 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 use the tools below to analyze the current value of Austrian Traded in the context of predictive analytics.

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 0.0519, which signifies that the index had 0.0519% return per unit of risk over the last 3 months. Our standpoint towards foreseeing the volatility of an index is to use all available market data together with index-specific technical indicators that cannot be diversified away. We have found twenty-seven technical indicators for Austrian Traded Index, which you can use to evaluate the future 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 | 0.58 |

### Modest predictability

Austrian Traded Index has modest predictability. Overlapping area represents the amount of predictability between Austrian Traded time series from 15th of March 2022 to 10th of March 2023 and 10th of March 2023 to 4th of March 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

**0.58**indicates that roughly 58.0% of current Austrian Traded price fluctuation can be explain by its past prices.Correlation Coefficient | 0.58 | |

Spearman Rank Test | 0.06 | |

Residual Average | 0.0 | |

Price Variance | 12.8 K |

## 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 index 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 stock 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 |

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 Austrian Traded 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, Austrian Traded's short interest history, or implied volatility extrapolated from Austrian Traded options trading.

## 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.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 equities. 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.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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.

## Complementary Tools for Austrian Index analysis

When running Austrian Traded's price analysis, check to measure Austrian Traded'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 Austrian Traded is operating at the current time. Most of Austrian Traded's value examination focuses on studying past and present price action to predict the probability of Austrian Traded's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Austrian Traded's price. Additionally, you may evaluate how the addition of Austrian Traded to your portfolios can decrease your overall portfolio volatility.

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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.