Ig Design Group Stock Market Value
| IGDFF Stock | USD 0.65 0.00 0.00% |
| Symbol | IGDFF |
IG Design '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 IG Design's pink sheet 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 IG Design.
| 12/18/2025 |
| 01/17/2026 |
If you would invest 0.00 in IG Design on December 18, 2025 and sell it all today you would earn a total of 0.00 from holding IG Design Group or generate 0.0% return on investment in IG Design over 30 days. IG Design is related to or competes with Phonex, Reitmans, Imperium Group, Reitmans, Redbubble, and Leatt Corp. IG Design Group plc designs, manufactures, and distributes celebrations, craft and creative play, stationery, gifting, a... More
IG Design 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 IG Design's pink sheet 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 IG Design Group upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.25) | |||
| Maximum Drawdown | 8.45 |
IG Design Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IG Design's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IG Design's standard deviation. In reality, there are many statistical measures that can use IG Design historical prices to predict the future IG Design's volatility.| Risk Adjusted Performance | (0.11) | |||
| Jensen Alpha | (0.21) | |||
| Total Risk Alpha | (0.38) | |||
| Treynor Ratio | 1.54 |
IG Design Group Backtested Returns
IG Design Group retains Efficiency (Sharpe Ratio) of -0.17, which attests that the entity had a -0.17 % return per unit of price deviation over the last 3 months. IG Design exposes sixteen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out IG Design's Information Ratio of (0.25), coefficient of variation of (584.86), and Market Risk Adjusted Performance of 1.55 to validate the risk estimate we provide. The company owns a Beta (Systematic Risk) of -0.14, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning IG Design are expected to decrease at a much lower rate. During the bear market, IG Design is likely to outperform the market. At this point, IG Design Group has a negative expected return of -0.22%. Please make sure to check out IG Design's standard deviation and the relationship between the treynor ratio and day typical price , to decide if IG Design Group performance from the past will be repeated sooner or later.
Auto-correlation | 0.00 |
No correlation between past and present
IG Design Group has no correlation between past and present. Overlapping area represents the amount of predictability between IG Design time series from 18th of December 2025 to 2nd of January 2026 and 2nd of January 2026 to 17th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of IG Design Group price movement. The serial correlation of 0.0 indicates that just 0.0% of current IG Design price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.1 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
IG Design Group lagged returns against current returns
Autocorrelation, which is IG Design pink sheet'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 IG Design's pink sheet expected returns. We can calculate the autocorrelation of IG Design returns to help us make a trade decision. For example, suppose you find that IG Design has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
IG Design 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 IG Design pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IG Design pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IG Design pink sheet over time.
Current vs Lagged Prices |
| Timeline |
IG Design Lagged Returns
When evaluating IG Design's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IG Design pink sheet have on its future price. IG Design 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, IG Design autocorrelation shows the relationship between IG Design pink sheet current value and its past values and can show if there is a momentum factor associated with investing in IG Design Group.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in IGDFF Pink Sheet
IG Design financial ratios help investors to determine whether IGDFF Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in IGDFF with respect to the benefits of owning IG Design security.