GameSparcs (Taiwan) Market Value
| 6542 Stock | TWD 56.00 0.80 1.41% |
| Symbol | GameSparcs |
GameSparcs '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 GameSparcs' 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 GameSparcs.
| 10/25/2024 |
| 11/24/2024 |
If you would invest 0.00 in GameSparcs on October 25, 2024 and sell it all today you would earn a total of 0.00 from holding GameSparcs Co or generate 0.0% return on investment in GameSparcs over 30 days. GameSparcs is related to or competes with TWOWAY Communications, Bank of Kaohsiung, Taiwan Mobile, Cameo Communications, Mega Financial, Loop Telecommunicatio, and WinMate Communication. Net Publishing Co., Ltd. primarily engages in the publishing and operation of mobile games, advertising, and game access... More
GameSparcs 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 GameSparcs' 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 GameSparcs Co upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.10) | |||
| Maximum Drawdown | 20.9 | |||
| Value At Risk | (2.85) | |||
| Potential Upside | 2.69 |
GameSparcs Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for GameSparcs' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as GameSparcs' standard deviation. In reality, there are many statistical measures that can use GameSparcs historical prices to predict the future GameSparcs' volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.52) | |||
| Treynor Ratio | 0.2069 |
GameSparcs Backtested Returns
GameSparcs holds Efficiency (Sharpe) Ratio of -0.0479, which attests that the entity had a -0.0479% return per unit of risk over the last 3 months. GameSparcs exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out GameSparcs' Risk Adjusted Performance of (0.03), market risk adjusted performance of 0.2169, and Standard Deviation of 2.47 to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of -0.65, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning GameSparcs are expected to decrease at a much lower rate. During the bear market, GameSparcs is likely to outperform the market. At this point, GameSparcs has a negative expected return of -0.12%. Please make sure to check out GameSparcs' total risk alpha, maximum drawdown, and the relationship between the jensen alpha and treynor ratio , to decide if GameSparcs performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.09 |
Very weak reverse predictability
GameSparcs Co has very weak reverse predictability. Overlapping area represents the amount of predictability between GameSparcs time series from 25th of October 2024 to 9th of November 2024 and 9th of November 2024 to 24th 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 GameSparcs price movement. The serial correlation of -0.09 indicates that less than 9.0% of current GameSparcs price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.09 | |
| Spearman Rank Test | -0.09 | |
| Residual Average | 0.0 | |
| Price Variance | 3.35 |
GameSparcs lagged returns against current returns
Autocorrelation, which is GameSparcs 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 GameSparcs' stock expected returns. We can calculate the autocorrelation of GameSparcs returns to help us make a trade decision. For example, suppose you find that GameSparcs 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 |
GameSparcs 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 GameSparcs stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if GameSparcs stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in GameSparcs stock over time.
Current vs Lagged Prices |
| Timeline |
GameSparcs Lagged Returns
When evaluating GameSparcs' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of GameSparcs stock have on its future price. GameSparcs 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, GameSparcs autocorrelation shows the relationship between GameSparcs stock current value and its past values and can show if there is a momentum factor associated with investing in GameSparcs Co.
Regressed Prices |
| Timeline |
Pair Trading with GameSparcs
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 GameSparcs 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 GameSparcs will appreciate offsetting losses from the drop in the long position's value.Moving together with GameSparcs Stock
Moving against GameSparcs Stock
| 0.79 | 3533 | Lotes | PairCorr |
| 0.79 | 0050 | YuantaP shares Taiwan | PairCorr |
| 0.78 | 3293 | International Games | PairCorr |
| 0.78 | 0057 | Fubon MSCI Taiwan | PairCorr |
| 0.74 | 3687 | MacroWell OMG Digital | PairCorr |
The ability to find closely correlated positions to GameSparcs could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace GameSparcs 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 GameSparcs - 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 GameSparcs Co to buy it.
The correlation of GameSparcs 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 GameSparcs moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if GameSparcs 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 GameSparcs 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 GameSparcs Stock Analysis
When running GameSparcs' price analysis, check to measure GameSparcs' 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 GameSparcs is operating at the current time. Most of GameSparcs' value examination focuses on studying past and present price action to predict the probability of GameSparcs' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move GameSparcs' price. Additionally, you may evaluate how the addition of GameSparcs to your portfolios can decrease your overall portfolio volatility.