Gigabyte Technology (Taiwan) Market Value
| 2376 Stock | TWD 270.00 1.50 0.55% |
| Symbol | Gigabyte |
Gigabyte Technology '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 Gigabyte Technology'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 Gigabyte Technology.
| 06/01/2024 |
| 11/28/2024 |
If you would invest 0.00 in Gigabyte Technology on June 1, 2024 and sell it all today you would earn a total of 0.00 from holding Gigabyte Technology Co or generate 0.0% return on investment in Gigabyte Technology over 180 days. Gigabyte Technology is related to or competes with Micro Star, Asustek Computer, Quanta Computer, Compal Electronics, and VIA Technologies. Giga-Byte Technology Co., Ltd., together with its subsidiaries, processes, manufactures, trades in, and sells computer p... More
Gigabyte Technology 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 Gigabyte Technology'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 Gigabyte Technology Co upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.32 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 11.0 | |||
| Value At Risk | (3.16) | |||
| Potential Upside | 4.12 |
Gigabyte Technology Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Gigabyte Technology's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Gigabyte Technology's standard deviation. In reality, there are many statistical measures that can use Gigabyte Technology historical prices to predict the future Gigabyte Technology's volatility.| Risk Adjusted Performance | 0.0238 | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.31) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 0.0557 |
Gigabyte Technology Backtested Returns
At this stage we consider Gigabyte Stock to be very steady. Gigabyte Technology holds Efficiency (Sharpe) Ratio of 0.0342, which attests that the entity had a 0.0342% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Gigabyte Technology, which you can use to evaluate the volatility of the firm. Please check out Gigabyte Technology's Risk Adjusted Performance of 0.0238, market risk adjusted performance of 0.0657, and Downside Deviation of 2.32 to validate if the risk estimate we provide is consistent with the expected return of 0.0819%. Gigabyte Technology has a performance score of 2 on a scale of 0 to 100. The company retains a Market Volatility (i.e., Beta) of 0.76, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Gigabyte Technology's returns are expected to increase less than the market. However, during the bear market, the loss of holding Gigabyte Technology is expected to be smaller as well. Gigabyte Technology right now retains a risk of 2.4%. Please check out Gigabyte Technology market risk adjusted performance, semi deviation, coefficient of variation, as well as the relationship between the mean deviation and downside deviation , to decide if Gigabyte Technology will be following its current trending patterns.
Auto-correlation | -0.85 |
Excellent reverse predictability
Gigabyte Technology Co has excellent reverse predictability. Overlapping area represents the amount of predictability between Gigabyte Technology time series from 1st of June 2024 to 30th of August 2024 and 30th of August 2024 to 28th 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 Gigabyte Technology price movement. The serial correlation of -0.85 indicates that around 85.0% of current Gigabyte Technology price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.85 | |
| Spearman Rank Test | -0.73 | |
| Residual Average | 0.0 | |
| Price Variance | 252.8 |
Gigabyte Technology lagged returns against current returns
Autocorrelation, which is Gigabyte Technology 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 Gigabyte Technology's stock expected returns. We can calculate the autocorrelation of Gigabyte Technology returns to help us make a trade decision. For example, suppose you find that Gigabyte Technology 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 |
Gigabyte Technology 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 Gigabyte Technology stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Gigabyte Technology stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Gigabyte Technology stock over time.
Current vs Lagged Prices |
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Gigabyte Technology Lagged Returns
When evaluating Gigabyte Technology's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Gigabyte Technology stock have on its future price. Gigabyte Technology 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, Gigabyte Technology autocorrelation shows the relationship between Gigabyte Technology stock current value and its past values and can show if there is a momentum factor associated with investing in Gigabyte Technology Co.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Additional Tools for Gigabyte Stock Analysis
When running Gigabyte Technology's price analysis, check to measure Gigabyte Technology'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 Gigabyte Technology is operating at the current time. Most of Gigabyte Technology's value examination focuses on studying past and present price action to predict the probability of Gigabyte Technology's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Gigabyte Technology's price. Additionally, you may evaluate how the addition of Gigabyte Technology to your portfolios can decrease your overall portfolio volatility.