Datalex (Ireland) Market Value
| DLE Stock | EUR 0.39 0.04 11.43% |
| Symbol | Datalex |
Datalex '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 Datalex'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 Datalex.
| 06/03/2024 |
| 11/30/2024 |
If you would invest 0.00 in Datalex on June 3, 2024 and sell it all today you would earn a total of 0.00 from holding Datalex or generate 0.0% return on investment in Datalex over 180 days. Datalex is related to or competes with Glanbia PLC, Kingspan Group, FBD Holdings, and Kerry. Datalex plc develops and sells various distribution and retailing software products and solutions to the airline industr... More
Datalex 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 Datalex'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 Datalex upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 18.85 | |||
| Value At Risk | (5.56) | |||
| Potential Upside | 6.06 |
Datalex Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Datalex's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Datalex's standard deviation. In reality, there are many statistical measures that can use Datalex historical prices to predict the future Datalex's volatility.| Risk Adjusted Performance | 0.002 | |||
| Jensen Alpha | (0.13) | |||
| Total Risk Alpha | (0.58) | |||
| Treynor Ratio | (0.04) |
Datalex Backtested Returns
Currently, Datalex is out of control. Datalex secures Sharpe Ratio (or Efficiency) of 0.004, which denotes the company had a 0.004% return per unit of risk over the last 3 months. We have found twenty-three technical indicators for Datalex, which you can use to evaluate the volatility of the firm. Please confirm Datalex's Standard Deviation of 3.26, mean deviation of 1.77, and Variance of 10.62 to check if the risk estimate we provide is consistent with the expected return of 0.0131%. The firm shows a Beta (market volatility) of 0.77, which means possible diversification benefits within a given portfolio. As returns on the market increase, Datalex's returns are expected to increase less than the market. However, during the bear market, the loss of holding Datalex is expected to be smaller as well. Datalex right now shows a risk of 3.27%. Please confirm Datalex accumulation distribution, day typical price, and the relationship between the skewness and rate of daily change , to decide if Datalex will be following its price patterns.
Auto-correlation | 0.74 |
Good predictability
Datalex has good predictability. Overlapping area represents the amount of predictability between Datalex time series from 3rd of June 2024 to 1st of September 2024 and 1st of September 2024 to 30th of November 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 Datalex price movement. The serial correlation of 0.74 indicates that around 74.0% of current Datalex price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.74 | |
| Spearman Rank Test | 0.67 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Datalex lagged returns against current returns
Autocorrelation, which is Datalex 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 Datalex's stock expected returns. We can calculate the autocorrelation of Datalex returns to help us make a trade decision. For example, suppose you find that Datalex 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 |
Datalex 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 Datalex stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Datalex stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Datalex stock over time.
Current vs Lagged Prices |
| Timeline |
Datalex Lagged Returns
When evaluating Datalex's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Datalex stock have on its future price. Datalex 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, Datalex autocorrelation shows the relationship between Datalex stock current value and its past values and can show if there is a momentum factor associated with investing in Datalex.
Regressed Prices |
| Timeline |
Pair Trading with Datalex
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 Datalex 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 Datalex will appreciate offsetting losses from the drop in the long position's value.Moving together with Datalex Stock
Moving against Datalex Stock
The ability to find closely correlated positions to Datalex could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Datalex 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 Datalex - 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 Datalex to buy it.
The correlation of Datalex 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 Datalex moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Datalex 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 Datalex 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.Additional Tools for Datalex Stock Analysis
When running Datalex's price analysis, check to measure Datalex'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 Datalex is operating at the current time. Most of Datalex's value examination focuses on studying past and present price action to predict the probability of Datalex's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Datalex's price. Additionally, you may evaluate how the addition of Datalex to your portfolios can decrease your overall portfolio volatility.