Immobile (Poland) Market Value
| GKI Stock | 2.32 0.02 0.87% |
| Symbol | Immobile |
Immobile '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 Immobile'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 Immobile.
| 12/19/2024 |
| 03/19/2025 |
If you would invest 0.00 in Immobile on December 19, 2024 and sell it all today you would earn a total of 0.00 from holding Immobile or generate 0.0% return on investment in Immobile over 90 days. Immobile is related to or competes with TEN SQUARE, Gaming Factory, Noble Financials, True Games, PLAYWAY SA, ING Bank, and All In. More
Immobile 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 Immobile'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 Immobile upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.64 | |||
| Information Ratio | 0.1322 | |||
| Maximum Drawdown | 23.6 | |||
| Value At Risk | (4.15) | |||
| Potential Upside | 6.09 |
Immobile Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Immobile's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Immobile's standard deviation. In reality, there are many statistical measures that can use Immobile historical prices to predict the future Immobile's volatility.| Risk Adjusted Performance | 0.1021 | |||
| Jensen Alpha | 0.3826 | |||
| Total Risk Alpha | 0.6927 | |||
| Sortino Ratio | 0.1207 | |||
| Treynor Ratio | 0.9321 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Immobile'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.
Immobile Backtested Returns
Immobile appears to be very risky, given 3 months investment horizon. Immobile holds Efficiency (Sharpe) Ratio of 0.14, which attests that the entity had a 0.14 % return per unit of risk over the last 3 months. We have found thirty technical indicators for Immobile, which you can use to evaluate the volatility of the firm. Please utilize Immobile's Risk Adjusted Performance of 0.1021, market risk adjusted performance of 0.9421, and Downside Deviation of 3.64 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Immobile holds a performance score of 11. The company retains a Market Volatility (i.e., Beta) of 0.37, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Immobile's returns are expected to increase less than the market. However, during the bear market, the loss of holding Immobile is expected to be smaller as well. Please check Immobile's sortino ratio, skewness, price action indicator, as well as the relationship between the potential upside and rate of daily change , to make a quick decision on whether Immobile's current trending patterns will revert.
Auto-correlation | 0.41 |
Average predictability
Immobile has average predictability. Overlapping area represents the amount of predictability between Immobile time series from 19th of December 2024 to 2nd of February 2025 and 2nd of February 2025 to 19th 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 Immobile price movement. The serial correlation of 0.41 indicates that just about 41.0% of current Immobile price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.41 | |
| Spearman Rank Test | 0.19 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Immobile lagged returns against current returns
Autocorrelation, which is Immobile 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 Immobile's stock expected returns. We can calculate the autocorrelation of Immobile returns to help us make a trade decision. For example, suppose you find that Immobile 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 |
Immobile 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 Immobile stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Immobile stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Immobile stock over time.
Current vs Lagged Prices |
| Timeline |
Immobile Lagged Returns
When evaluating Immobile's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Immobile stock have on its future price. Immobile 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, Immobile autocorrelation shows the relationship between Immobile stock current value and its past values and can show if there is a momentum factor associated with investing in Immobile.
Regressed Prices |
| Timeline |
Pair Trading with Immobile
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 Immobile 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 Immobile will appreciate offsetting losses from the drop in the long position's value.Moving together with Immobile Stock
Moving against Immobile Stock
The ability to find closely correlated positions to Immobile could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Immobile 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 Immobile - 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 Immobile to buy it.
The correlation of Immobile 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 Immobile moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Immobile 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 Immobile 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 Immobile Stock Analysis
When running Immobile's price analysis, check to measure Immobile'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 Immobile is operating at the current time. Most of Immobile's value examination focuses on studying past and present price action to predict the probability of Immobile's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Immobile's price. Additionally, you may evaluate how the addition of Immobile to your portfolios can decrease your overall portfolio volatility.