Wool Industry (Greece) Market Value
| AAAK Stock | EUR 5.00 0.50 11.11% |
| Symbol | Wool |
Wool Industry '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 Wool Industry'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 Wool Industry.
| 03/13/2023 |
| 03/02/2025 |
If you would invest 0.00 in Wool Industry on March 13, 2023 and sell it all today you would earn a total of 0.00 from holding Wool Industry Tria or generate 0.0% return on investment in Wool Industry over 720 days. Wool Industry is related to or competes with Lanakam SA, Bioter SA, and Avax SA. Wool Industry Tria Alfa S.A. operates in the woolen fabrics market More
Wool Industry 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 Wool Industry'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 Wool Industry Tria upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 8.13 | |||
| Information Ratio | 0.0624 | |||
| Maximum Drawdown | 20.89 | |||
| Value At Risk | (9.20) | |||
| Potential Upside | 10.62 |
Wool Industry Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Wool Industry's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Wool Industry's standard deviation. In reality, there are many statistical measures that can use Wool Industry historical prices to predict the future Wool Industry's volatility.| Risk Adjusted Performance | 0.053 | |||
| Jensen Alpha | 0.3599 | |||
| Total Risk Alpha | 0.5115 | |||
| Sortino Ratio | 0.0438 | |||
| Treynor Ratio | 0.2878 |
Wool Industry Tria Backtested Returns
Wool Industry appears to be risky, given 3 months investment horizon. Wool Industry Tria shows Sharpe Ratio of 0.0601, which attests that the company had a 0.0601 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Wool Industry Tria, which you can use to evaluate the volatility of the company. Please utilize Wool Industry's Mean Deviation of 3.89, market risk adjusted performance of 0.2978, and Downside Deviation of 8.13 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Wool Industry holds a performance score of 4. The firm maintains a market beta of 1.16, which attests to a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Wool Industry will likely underperform. Please check Wool Industry's total risk alpha, treynor ratio, and the relationship between the jensen alpha and sortino ratio , to make a quick decision on whether Wool Industry's historical returns will revert.
Auto-correlation | 0.62 |
Good predictability
Wool Industry Tria has good predictability. Overlapping area represents the amount of predictability between Wool Industry time series from 13th of March 2023 to 7th of March 2024 and 7th of March 2024 to 2nd of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Wool Industry Tria price movement. The serial correlation of 0.62 indicates that roughly 62.0% of current Wool Industry price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.62 | |
| Spearman Rank Test | 0.68 | |
| Residual Average | 0.0 | |
| Price Variance | 1.4 |
Wool Industry Tria lagged returns against current returns
Autocorrelation, which is Wool Industry 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 Wool Industry's stock expected returns. We can calculate the autocorrelation of Wool Industry returns to help us make a trade decision. For example, suppose you find that Wool Industry 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 |
Wool Industry 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 Wool Industry stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Wool Industry stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Wool Industry stock over time.
Current vs Lagged Prices |
| Timeline |
Wool Industry Lagged Returns
When evaluating Wool Industry's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Wool Industry stock have on its future price. Wool Industry 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, Wool Industry autocorrelation shows the relationship between Wool Industry stock current value and its past values and can show if there is a momentum factor associated with investing in Wool Industry Tria.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for Wool Stock Analysis
When running Wool Industry's price analysis, check to measure Wool Industry'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 Wool Industry is operating at the current time. Most of Wool Industry's value examination focuses on studying past and present price action to predict the probability of Wool Industry's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Wool Industry's price. Additionally, you may evaluate how the addition of Wool Industry to your portfolios can decrease your overall portfolio volatility.