Altur Slatina (Romania) Market Value
| ALT Stock | 0.07 0 4.29% |
| Symbol | Altur |
Please note, there is a significant difference between Altur Slatina's value and its price as these two are different measures arrived at by different means. Investors typically determine if Altur Slatina is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Altur Slatina's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Altur Slatina '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 Altur Slatina'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 Altur Slatina.
| 12/07/2023 |
| 12/01/2024 |
If you would invest 0.00 in Altur Slatina on December 7, 2023 and sell it all today you would earn a total of 0.00 from holding Altur Slatina or generate 0.0% return on investment in Altur Slatina over 360 days. More
Altur Slatina 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 Altur Slatina'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 Altur Slatina upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.10) | |||
| Maximum Drawdown | 12.68 | |||
| Value At Risk | (4.43) | |||
| Potential Upside | 4.76 |
Altur Slatina Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Altur Slatina's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Altur Slatina's standard deviation. In reality, there are many statistical measures that can use Altur Slatina historical prices to predict the future Altur Slatina's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.19) | |||
| Total Risk Alpha | (0.55) | |||
| Treynor Ratio | (0.27) |
Altur Slatina Backtested Returns
Altur Slatina secures Sharpe Ratio (or Efficiency) of -0.0427, which signifies that the company had a -0.0427% return per unit of risk over the last 3 months. Altur Slatina exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Altur Slatina's Risk Adjusted Performance of (0.03), standard deviation of 2.52, and Mean Deviation of 1.66 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.46, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Altur Slatina's returns are expected to increase less than the market. However, during the bear market, the loss of holding Altur Slatina is expected to be smaller as well. At this point, Altur Slatina has a negative expected return of -0.11%. Please make sure to confirm Altur Slatina's potential upside, as well as the relationship between the daily balance of power and day typical price , to decide if Altur Slatina performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.71 |
Almost perfect reverse predictability
Altur Slatina has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Altur Slatina time series from 7th of December 2023 to 4th of June 2024 and 4th of June 2024 to 1st of December 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 Altur Slatina price movement. The serial correlation of -0.71 indicates that around 71.0% of current Altur Slatina price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.71 | |
| Spearman Rank Test | -0.62 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Altur Slatina lagged returns against current returns
Autocorrelation, which is Altur Slatina 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 Altur Slatina's stock expected returns. We can calculate the autocorrelation of Altur Slatina returns to help us make a trade decision. For example, suppose you find that Altur Slatina 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 |
Altur Slatina 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 Altur Slatina stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Altur Slatina stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Altur Slatina stock over time.
Current vs Lagged Prices |
| Timeline |
Altur Slatina Lagged Returns
When evaluating Altur Slatina's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Altur Slatina stock have on its future price. Altur Slatina 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, Altur Slatina autocorrelation shows the relationship between Altur Slatina stock current value and its past values and can show if there is a momentum factor associated with investing in Altur Slatina.
Regressed Prices |
| Timeline |
Pair Trading with Altur Slatina
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 Altur Slatina 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 Altur Slatina will appreciate offsetting losses from the drop in the long position's value.Moving together with Altur Stock
Moving against Altur Stock
The ability to find closely correlated positions to Altur Slatina could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Altur Slatina 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 Altur Slatina - 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 Altur Slatina to buy it.
The correlation of Altur Slatina 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 Altur Slatina moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Altur Slatina 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 Altur Slatina 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.Other Information on Investing in Altur Stock
Altur Slatina financial ratios help investors to determine whether Altur Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Altur with respect to the benefits of owning Altur Slatina security.