Giga Media Stock Market Value
| GIGM Stock | USD 1.46 0.03 2.01% |
| Symbol | Giga |
Giga Media Price To Book Ratio
Is Interactive Home Entertainment space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Giga Media. If investors know Giga will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Giga Media listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (0.36) | Revenue Per Share 0.279 | Quarterly Revenue Growth (0.28) | Return On Assets (0.05) | Return On Equity (0.09) |
The market value of Giga Media is measured differently than its book value, which is the value of Giga that is recorded on the company's balance sheet. Investors also form their own opinion of Giga Media's value that differs from its market value or its book value, called intrinsic value, which is Giga Media's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Giga Media's market value can be influenced by many factors that don't directly affect Giga Media's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Giga Media's value and its price as these two are different measures arrived at by different means. Investors typically determine if Giga Media is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Giga Media's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Giga Media '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 Giga Media'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 Giga Media.
| 12/29/2023 |
| 11/23/2024 |
If you would invest 0.00 in Giga Media on December 29, 2023 and sell it all today you would earn a total of 0.00 from holding Giga Media or generate 0.0% return on investment in Giga Media over 330 days. Giga Media is related to or competes with SohuCom, Snail,, Playstudios, Playtika Holding, Doubledown Interactive, Bragg Gaming, and Golden Matrix. GigaMedia Limited, together with its subsidiaries, provides digital entertainment services in Taiwan and Hong Kong More
Giga Media 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 Giga Media'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 Giga Media upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.86 | |||
| Information Ratio | 0.0212 | |||
| Maximum Drawdown | 8.67 | |||
| Value At Risk | (2.88) | |||
| Potential Upside | 3.45 |
Giga Media Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Giga Media's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Giga Media's standard deviation. In reality, there are many statistical measures that can use Giga Media historical prices to predict the future Giga Media's volatility.| Risk Adjusted Performance | 0.0795 | |||
| Jensen Alpha | 0.1434 | |||
| Total Risk Alpha | (0.12) | |||
| Sortino Ratio | 0.0198 | |||
| Treynor Ratio | 1.34 |
Giga Media Backtested Returns
As of now, Giga Stock is unstable. Giga Media 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 thirty technical indicators for Giga Media, which you can use to evaluate the volatility of the firm. Please check out Giga Media's Risk Adjusted Performance of 0.0795, market risk adjusted performance of 1.35, and Downside Deviation of 1.86 to validate if the risk estimate we provide is consistent with the expected return of 0.19%. Giga Media has a performance score of 8 on a scale of 0 to 100. The company retains a Market Volatility (i.e., Beta) of 0.12, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Giga Media's returns are expected to increase less than the market. However, during the bear market, the loss of holding Giga Media is expected to be smaller as well. Giga Media right now retains a risk of 1.7%. Please check out Giga Media semi variance, day typical price, and the relationship between the maximum drawdown and accumulation distribution , to decide if Giga Media will be following its current trending patterns.
Auto-correlation | -0.26 |
Weak reverse predictability
Giga Media has weak reverse predictability. Overlapping area represents the amount of predictability between Giga Media time series from 29th of December 2023 to 11th of June 2024 and 11th of June 2024 to 23rd of November 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 Giga Media price movement. The serial correlation of -0.26 indicates that nearly 26.0% of current Giga Media price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.26 | |
| Spearman Rank Test | -0.39 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Giga Media lagged returns against current returns
Autocorrelation, which is Giga Media 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 Giga Media's stock expected returns. We can calculate the autocorrelation of Giga Media returns to help us make a trade decision. For example, suppose you find that Giga Media 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 |
Giga Media 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 Giga Media stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Giga Media stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Giga Media stock over time.
Current vs Lagged Prices |
| Timeline |
Giga Media Lagged Returns
When evaluating Giga Media's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Giga Media stock have on its future price. Giga Media 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, Giga Media autocorrelation shows the relationship between Giga Media stock current value and its past values and can show if there is a momentum factor associated with investing in Giga Media.
Regressed Prices |
| Timeline |
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Giga Media technical stock 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, stock market cycles, or different charting patterns.