Information Technology (Taiwan) Market Value
| 6697 Stock | 43.00 0.95 2.16% |
| Symbol | Information |
Information 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 Information 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 Information Technology.
| 11/15/2022 |
| 10/05/2024 |
If you would invest 0.00 in Information Technology on November 15, 2022 and sell it all today you would earn a total of 0.00 from holding Information Technology Total or generate 0.0% return on investment in Information Technology over 690 days. Information Technology is related to or competes with U Media, Tainet Communication, Compal Broadband, Shan Loong, Cameo Communications, Oceanic Beverages, and Tai Tung. More
Information 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 Information 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 Information Technology Total upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.15) | |||
| Maximum Drawdown | 12.16 | |||
| Value At Risk | (3.19) | |||
| Potential Upside | 1.95 |
Information Technology Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Information Technology's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Information Technology's standard deviation. In reality, there are many statistical measures that can use Information Technology historical prices to predict the future Information Technology's volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.30) | |||
| Total Risk Alpha | (0.47) | |||
| Treynor Ratio | (0.22) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Information Technology's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Information Technology Backtested Returns
Information Technology holds Efficiency (Sharpe) Ratio of -0.12, which attests that the entity had a -0.12% return per unit of risk over the last 3 months. Information Technology exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Information Technology's Standard Deviation of 2.01, risk adjusted performance of (0.07), and Market Risk Adjusted Performance of (0.21) to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 0.93, which attests to possible diversification benefits within a given portfolio. Information Technology returns are very sensitive to returns on the market. As the market goes up or down, Information Technology is expected to follow. At this point, Information Technology has a negative expected return of -0.24%. Please make sure to check out Information Technology's coefficient of variation, jensen alpha, and the relationship between the mean deviation and standard deviation , to decide if Information Technology performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.07 |
Very weak reverse predictability
Information Technology Total has very weak reverse predictability. Overlapping area represents the amount of predictability between Information Technology time series from 15th of November 2022 to 26th of October 2023 and 26th of October 2023 to 5th of October 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 Information Technology price movement. The serial correlation of -0.07 indicates that barely 7.0% of current Information Technology price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.07 | |
| Spearman Rank Test | -0.28 | |
| Residual Average | 0.0 | |
| Price Variance | 8.85 |
Information Technology lagged returns against current returns
Autocorrelation, which is Information 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 Information Technology's stock expected returns. We can calculate the autocorrelation of Information Technology returns to help us make a trade decision. For example, suppose you find that Information 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 |
Information 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 Information Technology stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Information Technology stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Information Technology stock over time.
Current vs Lagged Prices |
| Timeline |
Information Technology Lagged Returns
When evaluating Information Technology's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Information Technology stock have on its future price. Information 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, Information Technology autocorrelation shows the relationship between Information Technology stock current value and its past values and can show if there is a momentum factor associated with investing in Information Technology Total.
Regressed Prices |
| Timeline |
Pair Trading with Information Technology
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 Information Technology 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 Information Technology will appreciate offsetting losses from the drop in the long position's value.Moving together with Information Stock
| 0.88 | 6811 | Acer E Enabling | PairCorr |
| 0.96 | 6112 | Sysage Technology | PairCorr |
| 0.93 | 4953 | Wistron Information | PairCorr |
Moving against Information Stock
The ability to find closely correlated positions to Information Technology could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Information Technology 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 Information Technology - 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 Information Technology Total to buy it.
The correlation of Information Technology 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 Information Technology moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Information Technology 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 Information Technology 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 Information Stock Analysis
When running Information Technology's price analysis, check to measure Information 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 Information Technology is operating at the current time. Most of Information Technology's value examination focuses on studying past and present price action to predict the probability of Information 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 Information Technology's price. Additionally, you may evaluate how the addition of Information Technology to your portfolios can decrease your overall portfolio volatility.