Igg Inc Stock Market Value
IGGGF Stock | USD 0.43 0.00 0.00% |
Symbol | IGG |
IGG '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 IGG'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 IGG.
02/27/2024 |
| 03/28/2024 |
If you would invest 0.00 in IGG on February 27, 2024 and sell it all today you would earn a total of 0.00 from holding IGG Inc or generate 0.0% return on investment in IGG over 30 days. IGG is related to or competes with NetEase, Nintendo, Take Two, RobloxCorp, and Palantir TechnologiesInc. IGG Inc, an investment holding company, engages in the development and operation of mobile and online games in Asia, Nor... More
IGG 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 IGG'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 IGG Inc upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | 0.0942 | |||
Maximum Drawdown | 15.07 | |||
Potential Upside | 4.76 |
IGG Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IGG's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IGG's standard deviation. In reality, there are many statistical measures that can use IGG historical prices to predict the future IGG's volatility.Risk Adjusted Performance | 0.0949 | |||
Jensen Alpha | 0.3918 | |||
Total Risk Alpha | (0.15) | |||
Treynor Ratio | (0.59) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of IGG'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.
IGG Inc Backtested Returns
IGG appears to be extremely dangerous, given 3 months investment horizon. IGG Inc holds Efficiency (Sharpe) Ratio of 0.11, which attests that the entity had a 0.11% return per unit of risk over the last 3 months. We have found eighteen technical indicators for IGG Inc, which you can use to evaluate the volatility of the firm. Please utilize IGG's Coefficient Of Variation of 634.44, market risk adjusted performance of (0.58), and Risk Adjusted Performance of 0.0949 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, IGG holds a performance score of 8. The company retains a Market Volatility (i.e., Beta) of -0.55, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning IGG are expected to decrease at a much lower rate. During the bear market, IGG is likely to outperform the market. Please check IGG's information ratio and the relationship between the potential upside and relative strength index , to make a quick decision on whether IGG's current trending patterns will revert.
Auto-correlation | -0.29 |
Weak reverse predictability
IGG Inc has weak reverse predictability. Overlapping area represents the amount of predictability between IGG time series from 27th of February 2024 to 13th of March 2024 and 13th of March 2024 to 28th of March 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 IGG Inc price movement. The serial correlation of -0.29 indicates that nearly 29.0% of current IGG price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.29 | |
Spearman Rank Test | -0.2 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
IGG Inc lagged returns against current returns
Autocorrelation, which is IGG 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 IGG's pink sheet expected returns. We can calculate the autocorrelation of IGG returns to help us make a trade decision. For example, suppose you find that IGG 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 |
IGG 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 IGG pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IGG pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IGG pink sheet over time.
Current vs Lagged Prices |
Timeline |
IGG Lagged Returns
When evaluating IGG's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IGG pink sheet have on its future price. IGG 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, IGG autocorrelation shows the relationship between IGG pink sheet current value and its past values and can show if there is a momentum factor associated with investing in IGG Inc.
Regressed Prices |
Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards IGG in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, IGG's short interest history, or implied volatility extrapolated from IGG options trading.
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Try AI Portfolio ArchitectCheck out IGG Correlation, IGG Volatility and IGG Alpha and Beta module to complement your research on IGG. Note that the IGG Inc information on this page should be used as a complementary analysis to other IGG's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
Complementary Tools for IGG Pink Sheet analysis
When running IGG's price analysis, check to measure IGG'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 IGG is operating at the current time. Most of IGG's value examination focuses on studying past and present price action to predict the probability of IGG's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move IGG's price. Additionally, you may evaluate how the addition of IGG to your portfolios can decrease your overall portfolio volatility.
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IGG technical pink sheet analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, pink sheet market cycles, or different charting patterns.