Examobile (Poland) Market Value
| EXA Stock | 3.40 0.08 2.41% |
| Symbol | Examobile |
Examobile '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 Examobile'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 Examobile.
| 12/03/2024 |
| 01/02/2025 |
If you would invest 0.00 in Examobile on December 3, 2024 and sell it all today you would earn a total of 0.00 from holding Examobile SA or generate 0.0% return on investment in Examobile over 30 days. Examobile is related to or competes with Poznanska Korporacja, Esotiq Henderson, Toya SA, Betacom SA, Jastrzebska Spotka, and HiProMine. More
Examobile 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 Examobile'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 Examobile SA upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 30.23 | |||
| Value At Risk | (6.74) | |||
| Potential Upside | 9.58 |
Examobile Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Examobile's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Examobile's standard deviation. In reality, there are many statistical measures that can use Examobile historical prices to predict the future Examobile's volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.39) | |||
| Total Risk Alpha | (0.40) | |||
| Treynor Ratio | (0.72) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Examobile'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.
Examobile SA Backtested Returns
Examobile SA secures Sharpe Ratio (or Efficiency) of -0.0703, which denotes the company had a -0.0703% return per unit of standard deviation over the last 3 months. Examobile SA exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Examobile's Coefficient Of Variation of (1,422), standard deviation of 5.43, and Mean Deviation of 3.7 to check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.54, which means possible diversification benefits within a given portfolio. As returns on the market increase, Examobile's returns are expected to increase less than the market. However, during the bear market, the loss of holding Examobile is expected to be smaller as well. At this point, Examobile SA has a negative expected return of -0.38%. Please make sure to confirm Examobile's standard deviation, kurtosis, period momentum indicator, as well as the relationship between the maximum drawdown and day median price , to decide if Examobile SA performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.47 |
Modest reverse predictability
Examobile SA has modest reverse predictability. Overlapping area represents the amount of predictability between Examobile time series from 3rd of December 2024 to 18th of December 2024 and 18th of December 2024 to 2nd of January 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 Examobile SA price movement. The serial correlation of -0.47 indicates that about 47.0% of current Examobile price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.47 | |
| Spearman Rank Test | 0.4 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Examobile SA lagged returns against current returns
Autocorrelation, which is Examobile 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 Examobile's stock expected returns. We can calculate the autocorrelation of Examobile returns to help us make a trade decision. For example, suppose you find that Examobile 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 |
Examobile 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 Examobile stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Examobile stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Examobile stock over time.
Current vs Lagged Prices |
| Timeline |
Examobile Lagged Returns
When evaluating Examobile's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Examobile stock have on its future price. Examobile 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, Examobile autocorrelation shows the relationship between Examobile stock current value and its past values and can show if there is a momentum factor associated with investing in Examobile SA.
Regressed Prices |
| Timeline |
Pair Trading with Examobile
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 Examobile 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 Examobile will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Examobile could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Examobile 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 Examobile - 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 Examobile SA to buy it.
The correlation of Examobile 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 Examobile moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Examobile SA 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 Examobile 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 Examobile Stock Analysis
When running Examobile's price analysis, check to measure Examobile'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 Examobile is operating at the current time. Most of Examobile's value examination focuses on studying past and present price action to predict the probability of Examobile's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Examobile's price. Additionally, you may evaluate how the addition of Examobile to your portfolios can decrease your overall portfolio volatility.