GI Group (Poland) Market Value
| GIG Stock | 1.45 0.01 0.68% |
| Symbol | GIG |
GI Group '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 GI Group'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 GI Group.
| 11/03/2024 |
| 12/03/2024 |
If you would invest 0.00 in GI Group on November 3, 2024 and sell it all today you would earn a total of 0.00 from holding GI Group Poland or generate 0.0% return on investment in GI Group over 30 days. GI Group is related to or competes with Quantum Software, Live Motion, BNP Paribas, LSI Software, Varsav Game, and Alior Bank. More
GI Group 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 GI Group'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 GI Group Poland upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.18) | |||
| Maximum Drawdown | 9.17 | |||
| Value At Risk | (4.00) | |||
| Potential Upside | 2.74 |
GI Group Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for GI Group's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as GI Group's standard deviation. In reality, there are many statistical measures that can use GI Group historical prices to predict the future GI Group's volatility.| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (0.22) | |||
| Total Risk Alpha | (0.51) | |||
| Treynor Ratio | 3.09 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of GI Group'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.
GI Group Poland Backtested Returns
GI Group Poland retains Efficiency (Sharpe Ratio) of -0.13, which attests that the entity had a -0.13% return per unit of price deviation over the last 3 months. GI Group exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out GI Group's Information Ratio of (0.18), market risk adjusted performance of 3.1, and Coefficient Of Variation of (883.49) to validate the risk estimate we provide. The company owns a Beta (Systematic Risk) of -0.0724, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning GI Group are expected to decrease at a much lower rate. During the bear market, GI Group is likely to outperform the market. At this point, GI Group Poland has a negative expected return of -0.24%. Please make sure to check out GI Group's standard deviation, kurtosis, period momentum indicator, as well as the relationship between the maximum drawdown and day median price , to decide if GI Group Poland performance from the past will be repeated sooner or later.
Auto-correlation | 0.35 |
Below average predictability
GI Group Poland has below average predictability. Overlapping area represents the amount of predictability between GI Group time series from 3rd of November 2024 to 18th of November 2024 and 18th of November 2024 to 3rd 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 GI Group Poland price movement. The serial correlation of 0.35 indicates that nearly 35.0% of current GI Group price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.35 | |
| Spearman Rank Test | 0.14 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
GI Group Poland lagged returns against current returns
Autocorrelation, which is GI Group 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 GI Group's stock expected returns. We can calculate the autocorrelation of GI Group returns to help us make a trade decision. For example, suppose you find that GI Group 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 |
GI Group 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 GI Group stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if GI Group stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in GI Group stock over time.
Current vs Lagged Prices |
| Timeline |
GI Group Lagged Returns
When evaluating GI Group's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of GI Group stock have on its future price. GI Group 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, GI Group autocorrelation shows the relationship between GI Group stock current value and its past values and can show if there is a momentum factor associated with investing in GI Group Poland.
Regressed Prices |
| Timeline |
Pair Trading with GI Group
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 GI Group 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 GI Group will appreciate offsetting losses from the drop in the long position's value.Moving together with GIG Stock
Moving against GIG Stock
The ability to find closely correlated positions to GI Group could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace GI Group 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 GI Group - 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 GI Group Poland to buy it.
The correlation of GI Group 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 GI Group moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if GI Group Poland 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 GI Group 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 GIG Stock Analysis
When running GI Group's price analysis, check to measure GI Group'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 GI Group is operating at the current time. Most of GI Group's value examination focuses on studying past and present price action to predict the probability of GI Group's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move GI Group's price. Additionally, you may evaluate how the addition of GI Group to your portfolios can decrease your overall portfolio volatility.