Feature Integration (Taiwan) Market Value
| 4951 Stock | TWD 71.10 0.40 0.57% |
| Symbol | Feature |
Feature Integration '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 Feature Integration'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 Feature Integration.
| 11/04/2024 |
| 12/04/2024 |
If you would invest 0.00 in Feature Integration on November 4, 2024 and sell it all today you would earn a total of 0.00 from holding Feature Integration Technology or generate 0.0% return on investment in Feature Integration over 30 days. Feature Integration is related to or competes with Sitronix Technology, Kinsus Interconnect, WiseChip Semiconductor, Novatek Microelectronics, Leader Electronics, Information Technology, and Kinko Optical. Feature Integration Technology Inc. designs, manufactures, and commercializes ICs and controllers More
Feature Integration 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 Feature Integration'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 Feature Integration Technology upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.15) | |||
| Maximum Drawdown | 5.9 | |||
| Value At Risk | (2.34) | |||
| Potential Upside | 1.79 |
Feature Integration Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Feature Integration's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Feature Integration's standard deviation. In reality, there are many statistical measures that can use Feature Integration historical prices to predict the future Feature Integration's volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.14) | |||
| Total Risk Alpha | (0.28) | |||
| Treynor Ratio | (0.28) |
Feature Integration Backtested Returns
Feature Integration secures Sharpe Ratio (or Efficiency) of -0.0078, which denotes the company had a -0.0078% return per unit of standard deviation over the last 3 months. Feature Integration Technology exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Feature Integration's Standard Deviation of 1.33, coefficient of variation of (1,475), and Mean Deviation of 0.9484 to check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.36, which means possible diversification benefits within a given portfolio. As returns on the market increase, Feature Integration's returns are expected to increase less than the market. However, during the bear market, the loss of holding Feature Integration is expected to be smaller as well. At this point, Feature Integration has a negative expected return of -0.0099%. Please make sure to confirm Feature Integration's market risk adjusted performance, coefficient of variation, jensen alpha, as well as the relationship between the mean deviation and standard deviation , to decide if Feature Integration performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.49 |
Modest reverse predictability
Feature Integration Technology has modest reverse predictability. Overlapping area represents the amount of predictability between Feature Integration time series from 4th of November 2024 to 19th of November 2024 and 19th of November 2024 to 4th 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 Feature Integration price movement. The serial correlation of -0.49 indicates that about 49.0% of current Feature Integration price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.49 | |
| Spearman Rank Test | -0.74 | |
| Residual Average | 0.0 | |
| Price Variance | 3.46 |
Feature Integration lagged returns against current returns
Autocorrelation, which is Feature Integration 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 Feature Integration's stock expected returns. We can calculate the autocorrelation of Feature Integration returns to help us make a trade decision. For example, suppose you find that Feature Integration 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 |
Feature Integration 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 Feature Integration stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Feature Integration stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Feature Integration stock over time.
Current vs Lagged Prices |
| Timeline |
Feature Integration Lagged Returns
When evaluating Feature Integration's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Feature Integration stock have on its future price. Feature Integration 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, Feature Integration autocorrelation shows the relationship between Feature Integration stock current value and its past values and can show if there is a momentum factor associated with investing in Feature Integration Technology.
Regressed Prices |
| Timeline |
Pair Trading with Feature Integration
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 Feature Integration 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 Feature Integration will appreciate offsetting losses from the drop in the long position's value.Moving together with Feature Stock
Moving against Feature Stock
| 0.46 | 3443 | Global Unichip Corp | PairCorr |
| 0.37 | 0050 | YuantaP shares Taiwan | PairCorr |
| 0.33 | 2330 | Taiwan Semiconductor | PairCorr |
The ability to find closely correlated positions to Feature Integration could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Feature Integration 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 Feature Integration - 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 Feature Integration Technology to buy it.
The correlation of Feature Integration 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 Feature Integration moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Feature Integration 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 Feature Integration 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 Feature Stock Analysis
When running Feature Integration's price analysis, check to measure Feature Integration'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 Feature Integration is operating at the current time. Most of Feature Integration's value examination focuses on studying past and present price action to predict the probability of Feature Integration's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Feature Integration's price. Additionally, you may evaluate how the addition of Feature Integration to your portfolios can decrease your overall portfolio volatility.