U Tech (Taiwan) Market Value
| 3050 Stock | TWD 19.65 0.45 2.24% |
| Symbol | 3050 |
U Tech '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 U Tech'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 U Tech.
| 12/05/2022 |
| 11/24/2024 |
If you would invest 0.00 in U Tech on December 5, 2022 and sell it all today you would earn a total of 0.00 from holding U Tech Media Corp or generate 0.0% return on investment in U Tech over 720 days. U Tech is related to or competes with Novatek Microelectronics, Quanta Computer, and United Microelectronics. U-Tech Media Corporation researches, develops, manufactures, and sells pre-recorded optical media products worldwide More
U Tech 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 U Tech'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 U Tech Media Corp upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.15) | |||
| Maximum Drawdown | 12.07 | |||
| Value At Risk | (3.30) | |||
| Potential Upside | 4.44 |
U Tech Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for U Tech's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as U Tech's standard deviation. In reality, there are many statistical measures that can use U Tech historical prices to predict the future U Tech's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.25) | |||
| Total Risk Alpha | (0.59) | |||
| Treynor Ratio | (1.20) |
U Tech Media Backtested Returns
U Tech Media owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0967, which indicates the company had a -0.0967% return per unit of standard deviation over the last 3 months. U Tech Media Corp exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate U Tech's Market Risk Adjusted Performance of (1.19), standard deviation of 2.31, and Risk Adjusted Performance of (0.06) to confirm the risk estimate we provide. The firm has a beta of 0.19, which indicates not very significant fluctuations relative to the market. As returns on the market increase, U Tech's returns are expected to increase less than the market. However, during the bear market, the loss of holding U Tech is expected to be smaller as well. At this point, U Tech Media has a negative expected return of -0.22%. Please make sure to validate U Tech's maximum drawdown, potential upside, and the relationship between the treynor ratio and value at risk , to decide if U Tech Media performance from the past will be repeated at some future date.
Auto-correlation | -0.57 |
Good reverse predictability
U Tech Media Corp has good reverse predictability. Overlapping area represents the amount of predictability between U Tech time series from 5th of December 2022 to 30th of November 2023 and 30th of November 2023 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 U Tech Media price movement. The serial correlation of -0.57 indicates that roughly 57.0% of current U Tech price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.57 | |
| Spearman Rank Test | -0.17 | |
| Residual Average | 0.0 | |
| Price Variance | 5.84 |
U Tech Media lagged returns against current returns
Autocorrelation, which is U Tech 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 U Tech's stock expected returns. We can calculate the autocorrelation of U Tech returns to help us make a trade decision. For example, suppose you find that U Tech 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 |
U Tech 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 U Tech stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if U Tech stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in U Tech stock over time.
Current vs Lagged Prices |
| Timeline |
U Tech Lagged Returns
When evaluating U Tech's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of U Tech stock have on its future price. U Tech 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, U Tech autocorrelation shows the relationship between U Tech stock current value and its past values and can show if there is a momentum factor associated with investing in U Tech Media Corp.
Regressed Prices |
| Timeline |
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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 3050 Stock Analysis
When running U Tech's price analysis, check to measure U Tech'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 U Tech is operating at the current time. Most of U Tech's value examination focuses on studying past and present price action to predict the probability of U Tech's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move U Tech's price. Additionally, you may evaluate how the addition of U Tech to your portfolios can decrease your overall portfolio volatility.