GAME HOURS (Taiwan) Market Value
| 6626 Stock | 6.97 0.16 2.24% |
| Symbol | GAME |
GAME HOURS '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 GAME HOURS'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 GAME HOURS.
| 11/06/2023 |
| 11/30/2024 |
If you would invest 0.00 in GAME HOURS on November 6, 2023 and sell it all today you would earn a total of 0.00 from holding GAME HOURS or generate 0.0% return on investment in GAME HOURS over 390 days. GAME HOURS is related to or competes with Tainet Communication, BenQ Medical, Easywell Biomedicals, Shanghai Commercial, Yuanta Financial, Cathay Financial, and EnTie Commercial. More
GAME HOURS 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 GAME HOURS'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 GAME HOURS upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.10) | |||
| Maximum Drawdown | 23.49 | |||
| Value At Risk | (6.58) | |||
| Potential Upside | 5.26 |
GAME HOURS Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for GAME HOURS's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as GAME HOURS's standard deviation. In reality, there are many statistical measures that can use GAME HOURS historical prices to predict the future GAME HOURS's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.19) | |||
| Total Risk Alpha | (0.96) | |||
| Treynor Ratio | 0.3928 |
GAME HOURS Backtested Returns
GAME HOURS holds Efficiency (Sharpe) Ratio of -0.11, which attests that the company had a -0.11% return per unit of risk over the last 3 months. GAME HOURS exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out GAME HOURS's coefficient of variation of (1,453), and Standard Deviation of 4.03 to validate the risk estimate we provide. The firm retains a Market Volatility (i.e., Beta) of -0.73, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning GAME HOURS are expected to decrease at a much lower rate. During the bear market, GAME HOURS is likely to outperform the market. At this point, GAME HOURS has a negative expected return of -0.38%. Please make sure to check out GAME HOURS's total risk alpha, maximum drawdown, and the relationship between the jensen alpha and treynor ratio , to decide if GAME HOURS performance from the past will be repeated in the future.
Auto-correlation | 0.21 |
Weak predictability
GAME HOURS has weak predictability. Overlapping area represents the amount of predictability between GAME HOURS time series from 6th of November 2023 to 19th of May 2024 and 19th of May 2024 to 30th 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 GAME HOURS price movement. The serial correlation of 0.21 indicates that over 21.0% of current GAME HOURS price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.21 | |
| Spearman Rank Test | 0.28 | |
| Residual Average | 0.0 | |
| Price Variance | 1.83 |
GAME HOURS lagged returns against current returns
Autocorrelation, which is GAME HOURS 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 GAME HOURS's stock expected returns. We can calculate the autocorrelation of GAME HOURS returns to help us make a trade decision. For example, suppose you find that GAME HOURS 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 |
GAME HOURS 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 GAME HOURS stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if GAME HOURS stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in GAME HOURS stock over time.
Current vs Lagged Prices |
| Timeline |
GAME HOURS Lagged Returns
When evaluating GAME HOURS's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of GAME HOURS stock have on its future price. GAME HOURS 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, GAME HOURS autocorrelation shows the relationship between GAME HOURS stock current value and its past values and can show if there is a momentum factor associated with investing in GAME HOURS.
Regressed Prices |
| Timeline |
Pair Trading with GAME HOURS
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if GAME HOURS position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in GAME HOURS will appreciate offsetting losses from the drop in the long position's value.Moving against GAME Stock
| 0.65 | 3293 | International Games | PairCorr |
| 0.61 | 6180 | Gamania Digital Ente | PairCorr |
| 0.61 | 0057 | Fubon MSCI Taiwan | PairCorr |
| 0.58 | 0050 | YuantaP shares Taiwan | PairCorr |
| 0.53 | 6763 | Green World Fintech | PairCorr |
The ability to find closely correlated positions to GAME HOURS could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace GAME HOURS when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back GAME HOURS - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling GAME HOURS to buy it.
The correlation of GAME HOURS is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as GAME HOURS moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if GAME HOURS moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for GAME HOURS can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional Tools for GAME Stock Analysis
When running GAME HOURS's price analysis, check to measure GAME HOURS'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 GAME HOURS is operating at the current time. Most of GAME HOURS's value examination focuses on studying past and present price action to predict the probability of GAME HOURS's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move GAME HOURS's price. Additionally, you may evaluate how the addition of GAME HOURS to your portfolios can decrease your overall portfolio volatility.