GiG Software (Sweden) Market Value
| GIG-SDB Stock | 7.08 0.03 0.43% |
| Symbol | GiG |
GiG Software '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 GiG Software'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 GiG Software.
| 04/23/2025 |
| 07/22/2025 |
If you would invest 0.00 in GiG Software on April 23, 2025 and sell it all today you would earn a total of 0.00 from holding GiG Software PLC or generate 0.0% return on investment in GiG Software over 90 days.
GiG Software 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 GiG Software'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 GiG Software PLC upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.53 | |||
| Information Ratio | 0.2198 | |||
| Maximum Drawdown | 25.89 | |||
| Value At Risk | (3.20) | |||
| Potential Upside | 5.31 |
GiG Software Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for GiG Software's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as GiG Software's standard deviation. In reality, there are many statistical measures that can use GiG Software historical prices to predict the future GiG Software's volatility.| Risk Adjusted Performance | 0.2525 | |||
| Jensen Alpha | 0.7898 | |||
| Total Risk Alpha | 0.384 | |||
| Sortino Ratio | 0.2913 | |||
| Treynor Ratio | 1.41 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of GiG Software'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.
GiG Software PLC Backtested Returns
GiG Software appears to be slightly risky, given 3 months investment horizon. GiG Software PLC holds Efficiency (Sharpe) Ratio of 0.25, which attests that the entity had a 0.25 % return per unit of return volatility over the last 3 months. By examining GiG Software's technical indicators, you can evaluate if the expected return of 0.88% is justified by implied risk. Please utilize GiG Software's Risk Adjusted Performance of 0.2525, semi deviation of 1.66, and Market Risk Adjusted Performance of 1.42 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, GiG Software holds a performance score of 19. The company retains a Market Volatility (i.e., Beta) of 0.62, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, GiG Software's returns are expected to increase less than the market. However, during the bear market, the loss of holding GiG Software is expected to be smaller as well. Please check GiG Software's information ratio, value at risk, kurtosis, as well as the relationship between the sortino ratio and semi variance , to make a quick decision on whether GiG Software's current trending patterns will revert.
Auto-correlation | 0.21 |
Weak predictability
GiG Software PLC has weak predictability. Overlapping area represents the amount of predictability between GiG Software time series from 23rd of April 2025 to 7th of June 2025 and 7th of June 2025 to 22nd of July 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 GiG Software PLC price movement. The serial correlation of 0.21 indicates that over 21.0% of current GiG Software price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.21 | |
| Spearman Rank Test | 0.22 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
GiG Software PLC lagged returns against current returns
Autocorrelation, which is GiG Software 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 GiG Software's stock expected returns. We can calculate the autocorrelation of GiG Software returns to help us make a trade decision. For example, suppose you find that GiG Software 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 |
GiG Software 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 GiG Software stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if GiG Software stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in GiG Software stock over time.
Current vs Lagged Prices |
| Timeline |
GiG Software Lagged Returns
When evaluating GiG Software's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of GiG Software stock have on its future price. GiG Software 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, GiG Software autocorrelation shows the relationship between GiG Software stock current value and its past values and can show if there is a momentum factor associated with investing in GiG Software PLC.
Regressed Prices |
| Timeline |