GigaMedia (Germany) Market Value
| GIFN Stock | 1.33 0.02 1.48% |
| Symbol | GigaMedia |
GigaMedia '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 GigaMedia'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 GigaMedia.
| 12/12/2022 |
| 12/01/2024 |
If you would invest 0.00 in GigaMedia on December 12, 2022 and sell it all today you would earn a total of 0.00 from holding GigaMedia or generate 0.0% return on investment in GigaMedia over 720 days. GigaMedia is related to or competes with Boyd Gaming, Charter Communications, GAMESTOP, FRACTAL GAMING, HEMISPHERE EGY, and QINGCI GAMES. More
GigaMedia 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 GigaMedia'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 GigaMedia upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.66 | |||
| Information Ratio | 0.0606 | |||
| Maximum Drawdown | 10.24 | |||
| Value At Risk | (1.74) | |||
| Potential Upside | 3.57 |
GigaMedia Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for GigaMedia's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as GigaMedia's standard deviation. In reality, there are many statistical measures that can use GigaMedia historical prices to predict the future GigaMedia's volatility.| Risk Adjusted Performance | 0.1085 | |||
| Jensen Alpha | 0.252 | |||
| Total Risk Alpha | (0.07) | |||
| Sortino Ratio | 0.0682 | |||
| Treynor Ratio | (2.72) |
GigaMedia Backtested Returns
GigaMedia appears to be very risky, given 3 months investment horizon. GigaMedia holds Efficiency (Sharpe) Ratio of 0.13, which attests that the entity had a 0.13% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for GigaMedia, which you can use to evaluate the volatility of the firm. Please utilize GigaMedia's Risk Adjusted Performance of 0.1085, downside deviation of 1.66, and Market Risk Adjusted Performance of (2.71) to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, GigaMedia holds a performance score of 10. The company retains a Market Volatility (i.e., Beta) of -0.0885, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning GigaMedia are expected to decrease at a much lower rate. During the bear market, GigaMedia is likely to outperform the market. Please check GigaMedia's downside deviation, standard deviation, total risk alpha, as well as the relationship between the coefficient of variation and jensen alpha , to make a quick decision on whether GigaMedia's current trending patterns will revert.
Auto-correlation | -0.29 |
Weak reverse predictability
GigaMedia has weak reverse predictability. Overlapping area represents the amount of predictability between GigaMedia time series from 12th of December 2022 to 7th of December 2023 and 7th of December 2023 to 1st 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 GigaMedia price movement. The serial correlation of -0.29 indicates that nearly 29.0% of current GigaMedia price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.29 | |
| Spearman Rank Test | 0.12 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
GigaMedia lagged returns against current returns
Autocorrelation, which is GigaMedia 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 GigaMedia's stock expected returns. We can calculate the autocorrelation of GigaMedia returns to help us make a trade decision. For example, suppose you find that GigaMedia 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 |
GigaMedia 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 GigaMedia stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if GigaMedia stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in GigaMedia stock over time.
Current vs Lagged Prices |
| Timeline |
GigaMedia Lagged Returns
When evaluating GigaMedia's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of GigaMedia stock have on its future price. GigaMedia 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, GigaMedia autocorrelation shows the relationship between GigaMedia stock current value and its past values and can show if there is a momentum factor associated with investing in GigaMedia.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for GigaMedia Stock Analysis
When running GigaMedia's price analysis, check to measure GigaMedia'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 GigaMedia is operating at the current time. Most of GigaMedia's value examination focuses on studying past and present price action to predict the probability of GigaMedia's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move GigaMedia's price. Additionally, you may evaluate how the addition of GigaMedia to your portfolios can decrease your overall portfolio volatility.